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नियामक प्रौद्योगिकी: डिजिटल युग में अनुपालन
आज के तेजी से विकसित कारोबारी परिदृश्य में, जहां तकनीक में हो रही प्रगति, उद्योगों को नया स्वरूप प्रदान कर रही है तथा नियामक अनुपालन संगठनात्मक सफलता का एक महत्वपूर्ण पहलू बन गया है. तथापि, नियामक प्रौद्योगिकी, या रेगटेक के आने पर, कंपनियों के पास अब अपनी अनुपालन प्रक्रियाओं को सुव्यवस्थित करके इसमें बढ़ोत्तरी करते हुए इनके निपटान का एक सशक्त माध्यम बन गया है. रेगटेक ने वित्तीय सेवा उद्योग और इससे परे एक गेम-चेंजर के रूप में एक मुकाम हासिल किया है, नियामक अनुपालन के क्षेत्र में आधारभूत परिवर्तन ला दिया है.
एआई और फिनटेक: एक अप्रतिम जोड़ी?
हाल के वर्षों में, वित्तीय प्रौद्योगिकी (फिनटेक) उद्योग में आर्टिफिशियल इंटेलिजेंस (एआई) के
उपयोग में तेजी से वृद्धि हुई है। स्वचालित निवेश प्लेटफार्मों से लेकर धोखाधड़ी का पता लगाने वाली प्रणालियों तक, एआई ने वित्तीय सेवाओं को वितरित और प्रबंधित करने के तरीके
में काफी परिवर्तन किया है। फिनटेक में एआई वित्तीय प्रक्रियाओं को सुव्यवस्थित करने, ग्राहकों के अनुभवों में सुधार करने और परिचालन लागत को कम करने के लिए मशीन लर्निंग एल्गोरिदम और अन्य एआई प्रौद्योगिकियों के उपयोग को संदर्भित करता है। मशीन लर्निंग
एल्गोरिदम में डेटा और प्रगति की बढ़ती उपलब्धता के साथ, एआई वित्तीय उद्योग के लिए एक गेम-चेंजर साबित हुआ है, जो संस्थानों को ग्राहक व्यवहार, बाजार के रुझान और
निवेश के अवसरों पर मूल्यवान अंतर्दृष्टि प्रदान करता है।
अनंत मन से अंतर्दृष्टि: चैट जीपीटी की दुनिया की खोज
आइए बात करते हैं उस ऐप की जिसे 1 मिलियन ऑनलाइन यूजर्स तक पहुंचने में सिर्फ 5 दिन लगे। हम इसे FOMO कहेंगे यदि हम अपने साथियों या सहकर्मियों के बीच चैट जीपीटी के बारे में नहीं सुनते या जानते हैं एवं इसमें हमारा न्यूज़लेटर कोई अपवाद नहीं है। शुरुआत के लिए, जब चैट जीपीटी को अपने बारे में बात करने के लिए कहा जाता है तो यह कहता है, "मैं चैटजीपीटी हूँ , जो ओपन एआई द्वारा विकसित भाषा मॉडल है। मुझे भाषा की संरचना और पैटर्न सीखने के लिए गहन शिक्षण एल्गोरिदम का उपयोग करके पुस्तकों, लेखों और वेबसाइटों सहित पाठ डेटा के एक विशाल कोष पर प्रशिक्षित किया गया था। एक भाषा मॉडल के रूप में, मेरा प्राथमिक कार्य प्राकृतिक भाषा इनपुट के लिए मानव जैसी प्रतिक्रियाएं उत्पन्न करना है। मैं साधारण से जटिल तक अनेक प्रकार के सवालों के जवाब देने में सक्षम हूँ और विभिन्न विषयों पर होने वाली बातचीत में जुड़ सकता हूं।
Catalyzing Finance for a nature-positive growth
It has never been more important to take immediate, real-time action to combat climate change. Many people use social media as a source of inspiration for adopting a sustainable lifestyle such as the Netflix series "Our Planet" narrated by David Attenborough, TED talks and inspiring speeches by climate activists such as Greta Thunberg, Leonardo DiCaprio, and William Nordhaus illustrate how the planet can become uninhabitable over time if we do not take steps to stop it.
वॉयस भुगतान: भुगतान प्रौद्योगिकी का भविष्य
वॉयस भुगतान, वॉयस कमांड का उपयोग करके व्यक्तियों से पैसे का भुगतान करने, स्थानांतरित करने और प्राप्त करने की एक प्रक्रिया है जिसमें आप भुगतान करने के लिए एआई संचालित डिवाइस जैसे स्पीकर या स्मार्टफोन से बात करते हैं। वॉयस पेमेंट अकाउंट सेट करने की प्रक्रिया किसी भी ऑनलाइन वॉलेट के माध्यम से भुगतान करने के समान है। एक बार डिवाइस पर भुगतान ऐप खोले जाने के बाद, डिवाइस आपके अनुरोध को पहचान लेगा, भुगतान की प्रक्रिया पूरी करेगा और पुष्टि के साथ जवाब देगा। यह तकनीक कृत्रिम बुद्धिमत्ता (एआई) और मशीन लर्निंग (एमएल) में की गई प्रगति से आती है जहां यह एआई की शाखा प्राकृतिक भाषा प्रोसेसिंग (एनएलपी) का उपयोग करती है, जो कंप्यूटर को मानव भाषाओं में सामग्री सीखने, समझने, प्रतिक्रिया देने और उत्पादन करने की अनुमति देती है। यह वॉयस रिकग्निशन इंजन के साथ मिलकर काम करता है जहां मानव भाषण एनालॉग से डिजिटल रूप में परिवर्तित होता है जिसका उपयोग गूगल असिस्टेंट, अमेज़ॅन के एलेक्सा या ऐप्पल के सिरी में किया जा रहा है।
5G स्पीड पर BFSI
5G वायरलेस डेटा नेटवर्क की अगली पीढ़ी के रूप में डिजिटल परिवर्तन के भविष्य के लिए हमारी हाइपर कनेक्टेड दुनिया को सशक्त बनाएगा। यह 4G की तुलना में दो से दस गुना तेजी से दरों पर उपलब्ध नई बैंडविड्थ लाता है, जिसके परिणामस्वरूप सूचना सुपरहाइवे का एक बड़ा विस्तार करता है।
बिल्डिंग का भविष्य – अपना मकान
घर का स्वामित्व को ड्रैग कर सकते है। यह महंगा होता है एवं इसके रखरखाव में समय लगता है। आज हम अपना घर बनाने के लिए कंक्रीट और स्टील पर भरोसा करते हैं, लेकिन इन सामग्रियों का उत्पादन, परिवहन एवं इसे इकट्ठा करना मुश्किल है और वे अंततः खराब हो जाते हैं या टूट जाते हैं।
मेटावर्स के साथ मिलन स्थल (भारत में)
हाल के वर्षों में,मेटावर्स मुख्यधारा के लोगों को हिट करने के लिए तकनीक से जुड़ें लोगों की रुचि का एकविशिष्ट विषय होने के कारण काफी प्रगति कर रहा है ।शुरुआती लोगों के लिए, मेटावर्स एक इमर्सिव वर्चुअल दुनिया है जिसे आभासी वास्तविकता और संवर्धित वास्तविकता प्रौद्योगिकियों के उपयोग से सुविधा प्रदान की जाती है। ब्लूमबर्ग इंटेलिजेंस का अनुमान है कि वैश्विक स्तर पर मेटावर्स राजस्व के अवसर वर्ष 2020 में $500 बिलियन की तुलना में वर्ष 2024 में $800 बिलियन तक पहुंच जाएंगे।
मार्कटेक (Martech) की विनम्र क्षमता
विपणन संबंधी तकनीक (जिसे मार्कटेक के रूप में भी जाना जाता है) मिशन-महत्वपूर्ण व्यावसायिक उद्देश्यों का समर्थन करने और अपने संगठनों के भीतर नवाचार को चलाने के लिए विपणन में अग्रणी रहने वाले लोगों द्वारा उपयोग किए जाने वाले सॉफ़्टवेयर समाधानों का समूह है। मार्कटेक (Martech) समाधान सामग्री और ग्राहक अनुभव, विज्ञापन, प्रत्यक्ष विपणन, विपणन प्रबंधन और डेटा एनालिटिक्स पर ध्यान केंद्रित करते हैं।
वेब 3.0 - नया कैच वर्ड
तकनीकी दुनिया में नवीनतम चर्चा एनएफटी, मेटावर्स और निश्चित रूप से वेब 3.0 का रहा है। तो, वेब 3.0 क्या है? क्या यह नई इंटरनेट क्रांति है या यह विकेंद्रीकृत भविष्य का द्वार है? इसके लिए, पहले आइए समझते हैं कि वेब 1.0 और 2.0 क्या रहा होगा।
Invisible Banking - Banking that you don't have to think about
Buy Now, Pay Later (BNPL) is a type of short-term financing that lets you pay in instalments by the end of the specified time period. There are quite a few online merchants and fintech companies in India offering BNPL as a convenient payment option and an excellent alternative to credit cards which includes ZestMoney, LazyPay, Simpl, Amazon Pay Later, Ola Money Postpaid, Paytm Postpaid, Flexmoney, EPayLater, Capital Float, etc. By offering no-cost EMIs and being accessible, and transparent, BNPL is all set to revolutionize the lending landscape, especially for young adults.
A new report released by financial technology company FIS says BNPL is India’s fastest-growing online payment method. By 2025, BNPL is expected to contribute 8.6% of e-commerce market value, up from just 3% in 2021.BNPL loans may be dispensed on pre-paid instruments, wallets or bank accounts, powering commerce across a large number of merchants who would have been acquired and enabled by banks and networks. The cost of actual delivery of credit cards into rural towns will be around Rs. 250-300, and also credit activation rate is 20% now, but in the case of BNPL, the cost is negligible.
Taking BNPL beyond the online channel could play an important role in its growth trajectory and opportunities for credit access which are particularly low for young people and new-to-credit customers, who struggle due to a lack of credit histories and track records for lenders to assess and manage risk. The physical card form factor allows customers to use the digital credit line across touch points.
Regulation is also driving collaborations between fintechs, traditional banks and NBFCs. The report of the RBI working group on digital lending, released in November 2021, recommended that BNPL financing should be treated as balance sheet lending. “Since these products do not meet the requirements of traditional credit facilities, a suitable notification may be issued by the Government of India in this regard,” the report said. As a result, new-age lenders are choosing to work with their tightly-regulated counterparts to grow the market.
Banks, NBFCs and card networks play a vital role in enabling fintechs to deliver BNPL solutions. A large number of fintechs have the ability to underwrite credit using AI/ML (artificial intelligence/machine learning) models. However, these loans may be based on capital from NBFC, banks or their own capital in some cases. With UPI credit, Buy Now Pay Later (BNPL), and branchless banking, the roadmap towards inclusion will be significantly accelerated.
With Regards,
Akhil Handa
Chief Digital Officer
Bank of Baroda
Buy Now, Pay Later – The New Finance Buzzword
Buy Now, Pay Later (BNPL) is a type of short-term financing that lets you pay in instalments by the end of the specified time period. There are quite a few online merchants and fintech companies in India offering BNPL as a convenient payment option and an excellent alternative to credit cards which includes ZestMoney, LazyPay, Simpl, Amazon Pay Later, Ola Money Postpaid, Paytm Postpaid, Flexmoney, EPayLater, Capital Float, etc. By offering no-cost EMIs and being accessible, and transparent, BNPL is all set to revolutionize the lending landscape, especially for young adults.
A new report released by financial technology company FIS says BNPL is India’s fastest-growing online payment method. By 2025, BNPL is expected to contribute 8.6% of e-commerce market value, up from just 3% in 2021.BNPL loans may be dispensed on pre-paid instruments, wallets or bank accounts, powering commerce across a large number of merchants who would have been acquired and enabled by banks and networks. The cost of actual delivery of credit cards into rural towns will be around Rs. 250-300, and also credit activation rate is 20% now, but in the case of BNPL, the cost is negligible.
Taking BNPL beyond the online channel could play an important role in its growth trajectory and opportunities for credit access which are particularly low for young people and new-to-credit customers, who struggle due to a lack of credit histories and track records for lenders to assess and manage risk. The physical card form factor allows customers to use the digital credit line across touch points.
Regulation is also driving collaborations between fintechs, traditional banks and NBFCs. The report of the RBI working group on digital lending, released in November 2021, recommended that BNPL financing should be treated as balance sheet lending. “Since these products do not meet the requirements of traditional credit facilities, a suitable notification may be issued by the Government of India in this regard,” the report said. As a result, new-age lenders are choosing to work with their tightly-regulated counterparts to grow the market.
Banks, NBFCs and card networks play a vital role in enabling fintechs to deliver BNPL solutions. A large number of fintechs have the ability to underwrite credit using AI/ML (artificial intelligence/machine learning) models. However, these loans may be based on capital from NBFC, banks or their own capital in some cases. With UPI credit, Buy Now Pay Later (BNPL), and branchless banking, the roadmap towards inclusion will be significantly accelerated.
With Regards,
Akhil Handa
Chief Digital Officer
Bank of Baroda
Banking in Metaverse
For the uninitiated, Metaverse is fundamentally a virtual, 3D space for people to interact with one another and with businesses. There are various definitions floating in the market and as per Statista, the metaverse is a virtual space that allows digital representations of people, avatars, to interact with each other in a variety of settings, using virtual reality (VR) headsets, augmented reality (AR) glasses, smartphone apps, or other devices.
The global Metaverse revenue opportunity could approach $800 billion in 2024 vs. about $500 billion in 2020, based on Bloomberg’s analysis and Newzoo, IDC, PWC, Statista and Two Circles data. The Metaverse idea has been touted to have immense potential as it could be applied to just about anything.Talking about the banking sector, Korean banks have been the first to explore the opportunities that Metaverse has to offer with Korean banks such as Hana and Woori having launched their branches in the metaverse setting.
For enhanced customer engagement, KB Kookmin Bank has created KB Financial Town on metaverse platform Gather. The town consists of Financial and Business centre, Telecommuting centre and a playground. The first part has been prepared as a virtual branch where the customers can move with their avatars and talk to their banking advisers through video chat that will automatically start as soon as they stand in front of the latter. The bank also plans to use the virtual branch for educating young people on finance as well as training their employees.
Although this may sound like something that is still future-looking, but Financial Institutions are increasing gearing up for the virtual world. Last October, Bank of America has launched virtual reality (VR) training in nearly 4,300 financial centres across USA. This will allow approximately 50,000 employees to practice a range of routine to complex tasks and simulate client interactions through a virtual environment. In metaverse, digital banks will be in the right position to begin facilitating transactions in the environment. For example, the digital Bank viz. Mercobank, based in UK, has begun putting strategies to develop virtual environments for enabling its customers to access banking services online and manage financial transactions in the metaverse, “similar to real life.”
We believe that while traditional financial institutions may not be the primary players in the Metaverse, the technology will gradually gain popularity. When it does, finance will be a significant part of its operations and how it generates value, both for individuals and organizations.
Highlights of Issue 5 of FinTalk are:
• Our Home grown StartUp Stories: Saral Designs, Mumbai
• Fintech firm Legalpay launches healthcare focused fund
• The rise of open banking:How Big Data is changing FinTech
• Paris-based VC firm help European startups cross into Africa
• Zingtree turns complex customer service processes into clear action plans
With Regards,
Akhil Handa
Chief Digital Officer
Bank of Baroda
Beyond Organic, consider Hydroponic
With climate change becoming a prime concern for the world alongside other contemporary world environmental issues and the Indian government’s mission to dramatically increase the incomes of our farmers, we are presented with yet another opportunity for a revolution. And this revolution can come in the form of hydroponic farming for not just agricultural communities but also urban dwellers struggling in the relatively worse-off environment situation in the cities.
Hydroponics is a contemporary method of horticulture or growing plants, usually farm produce, without using soil. In this method, the crops are grown on water, rich in essential micro and macronutrients. According to studies, plants grown hydroponically grow faster and healthier than plants in the soil, since they are provided nutrients directly to their roots through the water in the form of an aqueous solvent, and not through the soil.
Several startups in India are using this technique to produce organic food in the obvious lack of land availability considering the expense of buying a large piece of land for business. These are startups that are also helping urban inhabitants build urban gardens in limited spaces. Leveraging technology to grow high-quality, low-cost vegetables for the masses while promoting a healthier way of living, Eeki Foods is a venture by IIT alumni that provides nutritious and residue-free vegetables at affordable prices all year round. A wholesale hydroponic, organic gardening and wellness product distribution company, with a focus on integrating sustainable and moral concepts into a modern economic model.
Acqua Farms is helping urban Indians grow their own food using the limited material available for farming activities in an urban setting with a starter kit. They also offer larger planter systems with 24, 48, 72, 96, and 1,000 depending on the user's demands, a subscription-based service to individuals who are unfamiliar with hydroponics, in which they assign the customer an agronomist who takes care of their plants and monitors them once a week for a monthly charge.
Urban Kissan, another startup aims to incorporate the 'In My Backyard' concept into sustainable farming. With the Urban Kissan's assistance and supervision, you can now grow fresh food such as lettuce, herbs, greens, and exotic veggies all year. They may be grown everywhere, from rooftops to balconies.
As more startups are sure to come into the hydroponics space, Urban farming will pick pace in India and indeed around the world. What is needed is for rural agriculture, the primary agriculture, to also make use of this method that does not require high-end technology but provides environmental as well as economic benefits. The country which has been feeding the world, not just in the way of exports but in the sense that India makes 1/6th of the world, should garb on to this innovation for the collective benefit of the world.
credit : Akhil Handa
Cloud kitchen Startups on Cloud9
The F&B industry is poised for transformation due to technology shifts, changing consumer habits, and rising disposable incomes. Cloud kitchens are one such emerging segment gaining popularity & it is expected to gain more traction as Gen Zs enters the market.
Cloud kitchens are delivery-only restaurants where the preparation + packaging of food takes place while operating at a fraction of the costs incurred by traditional restaurant establishments (rentals, decor, equipment, & wait staff can be saved while operating virtual cloud kitchen brands). Simply put, a cloud kitchen is a 4-walled kitchen structure from where food is dispatched to customers who’re ordering from their offices or homes.
Consumers place their orders via food delivery aggregators such as Zomato, Swiggy, or direct-ordering platforms such as DotPe, Thrive, etc. These orders are then accepted on POS Systems such as Posify, Posist, & Limetray.
In the end, direct orders are fulfilled via third-party logistics (3PL) providers such as WeFast, Dunzo, Pidge & others.
Foodtech & cloud kitchens are highly scalable, profitable, & asset light compared to traditional F&B concepts. Consequently, their investments & ROIs have reached record highs in 2021 and are expected to grow to a $4 billion industry in India by 2024, up from $1 billion in 2021. The restaurants without physical stores, which only deliver and operate through cloud kitchens, could outpace growth of physical outlets in the next 12 months, despite the reopening of dine-in.
Rebel Foods, an Indian startup which is also backed by Goldman Sachs Group Inc. and Sequoia Capital, entered the Unicorn club to achieve a billion-dollar valuation after securing $175 million in a funding round led by the sovereign wealth fund Qatar
Investment Authority.
It said it’s growing at 100% annually and moving toward profitability with an annual run rate of over $150 million. It operates more than 45 brands from Behrouz Biryani to Ovenstory Pizza and Faasos wraps across 10 countries including India, Indonesia, the United Arab Emirates and Malaysia.
Founded by Kiran Prasad, Hygiene BigBite pivoted to a multi-brand cloud kitchen model in 2017 which has raised $15 million from Falcon Edge. It currently operates 10 brands — including Gunpowder and Biryani Trip — across 50 kitchens.
Cloud kitchens will continue to gain the edge by accelerating cost-savings and margins by leveraging trends like kitchen automation, drone delivery, the gig economy, and rising real estate costs in urban areas. The myriad models are peaking investor interest in the F&B space and when it comes to innovation in this space, we have seen only the tip of the iceberg yet!
Credit : Akhil Handa
Wintelligence
Till recently, methods that wine makers used to decide upon to produce have been mostly subjective. Without proper information, it was mostly a guess work. The wine industry is one of the oldest in the world and has dived into modern technological innovations to optimize production and save costs. Artificial intelligence is assisting vineyards world over from soil analysis to customer wine selection and pricing decisions.
Technology is heavily influencing the value chain.
According to the International Organisation of Vine and Wine, wine production reached a record level of 293 million hectolitres in 2018. As per a report by Zion Market Research, global wine market is expected to generate revenue of around USD 423.59 billion by the end of 2023, growing at a CAGR of around 5.8% between 2017 and 2023.
In Australia, GAIA (Geospatial Artificial Intelligence for Agriculture) uses AI software and a satellite image library to plot every vineyard in the country. GAIA is a cloudbased, automated solution for vineyard identification and mapping. Deep learning neural networks are responsible for GAIA's ability to identify features of vegetation, and allow it to continuously improve. GAIA improves classification of vineyards and crop conditions by analysing the data it collects through deep neural networks.
Developed via a European Union research consortium, vineyard-monitoring robot Vinescout, uses an array of technologies for wine selection. VineScout utilizes an infrared sensor and a multispectral camera to respectively measure the temperature of plant leaves and the amount of water contained within the plants to let growers know if the plants are getting enough water, along with their current level of maturity and robustness.
Ailytic, a South Australian tech company, has developed an AI software to collect data from production and use it to analyze variables such as temperature and inventory. Then it generates an optimal production schedule based on the analysis, allowing companies to maximize their time and money.
Tastry, a sensory sciences company based in California, uses machine learning to teach artificial intelligence to “taste” – and this technology is shaking up the wine industry. Tastry’s technology decodes aroma and flavor profiles by chemically analyzing thousands of wines in their lab. Then Tastry identifies the unique consumer palate of each individual that takes a quiz in a store our on their app.
Modern technology is changing the way we consume our wine. Tech is at play at the back end for the production process and in the front helping us make better wine choices
Credit :Akhil Handa
Balancing control and flexibility a FinTech Startup would want to offer
FinTech startups will have a very fine line between moving from the old school way and the trust factor. Banks are now moving towards the path of digital transformations and bringing in new technologies with the intent on building leaner, faster, cheaper products than traditional banks. Brands have been created to be approachable and emotionally engaging, differing from the more traditional bank’s approach that Indian customer base is used to.
Customers does not want opaque financial institutions, rather they like customized services, more transparency, more mobility, flexible banking, lower fees and faster transactions. And now customers are spoilt with choices in the market.
But the challenge as this evolves is how you stand out, while gaining people’s trust. People have to be able to remember your name and who you are, but also trust you with their money.
1.Keep it simple and clean:
Now that it’s a new change to adapt, it should not be jargon. People need to understand clearly who you are, what you offer and why they should care. You need to be quick and simple to understand
2.Know Your Customer:
Understanding your customer, designing and delivering the value that matters most to customers is the key for the success of your product. In case of a diverse mass customer base, you can quickly get a ‘map’ of your audience’s life and world, and make sure all product decisions, features and communications are guided towards fitting in easily there.
3. Right attention to touch points: Small touches of delight you add, on top of the basics, make your experience more memorable and, thereby, more sticky. Building stickiness or virality into the design of your products and onboarding experience has more power than any amount of content marketing.
4.Nurturing partnerships:
As more technology companies spring up, covering a wide base of offers, becoming the preferred partner in your category is essential. This means cultivating a community and partnership strategy as soon as possible in your lifecycle
As the competition for banking services intensifies, FinTech startups will have to take more bold steps to set themselves apart in the market. Agile, fast, and focused execution are quintessential for success.
credits : Akhil Handa
Your Digital Stylist
Dear Reader,
Fashion is one of the most challenging fields, highly impacted by global economic uncertainty as well as distinct trends and industrial changes. In response to the pressure for growth and cost efficiency, many brands have started a series of initiatives to improve their speed to market and to implement sustainable innovation.
As evident during the pandemic, the need to adapt and overcome has been paramount for fashion brands to survive. Brick-and-mortar fashion companies are feeling the pain augmented by Covid-19. Mall-based retailers reportedly saw earnings plunge 256% in Q2’20, according to Coresight Research and over 12,000 US stores closed in 2020, according to real estate company CoStar Group, up from 10,000 stores the year before.
One exciting innovation in the fashion industry has been the introduction of AI-based digital stylists and chatbots, that can give feedback to customers on outfit choices or suggest alternatives if required. For example, Stylesnap is an AI-powered feature built into the Amazon app that help you find looks you love quickly and easily. Take a photograph or screenshot of an outfit, upload it onto the Amazon app, and you'll be presented with items that look just like the ones in the picture.
Even Facebook is experimenting with an AI system of its own called Fashion++. The software uses AI to analyse a person’s outfit and suggest subtle alterations that it thinks could improve the look, like rolling up the sleeves or removing an accessory.
Israel-based Syte offers retailers and brands a camera button that can be added next to the search bar on a mobile website or app. Shoppers can upload images of their favorite styles through the button, and then see looks “inspired” by those images on the brand’s site. Syte counts a number of high-profile brands among its clients, including Tommy Hilfiger, Myntra, and Kohl’s. Even luxury brands are testing digital stylists in select markets: Prada, for example, has introduced a “personalized concierge” chatbot for its relaunched Chinese website.
Fashion-tech company Style.me provides virtual styling solutions, and has recently launched a powerful plugin that can integrate a 3D virtual fitting room to any online retail website.
Recently, Fashion Innovation Agency has introduced digital human stylists (DHS) that is powered by Microsoft AI, IoT and natural language processing. It can understand what’s in your wardrobe, what’s in your calendar, where you’re going, allowing personal recommendations that are visually and verbally communicated back to the user within your own home.
With the customers’ lives becoming progressively entwined with the digital world, it is imperative that brands in Fashion Industry start embracing the latest technologies to push their limits of manufacturing, marketing and wearability.
Credits : Akhil Handa Aparna Anand
Disaster Management
Dear Reader,
We are living in the midst of a revolution. Supervised learning, a branch of Machine learning allows engineers to develop models that can train themselves. In turn, these models are helping solve crisis management problems before disaster strikes.
Technologists have long modeled data to harness machine learning for disaster relief. After the Chernobyl crisis, scientists analyzed satellite imagery and weather data to track the flow of radiation from the reactor. Today’s algorithms far outpace their predecessors in analytic and predictive powers. Machine learning models are able to deliver more granular predictions. NASA has developed the Landslide Hazard Assessment for Situational Awareness (LHASA) Model. Data from the Global Precipitation Measurement (GPM) is fed into LHASA in three-hour intervals. If a landslide-prone area is experiencing heavy rain, LHASA then issues a warning. Analysts then channel that information to the appropriate agencies, providing near-real-time risk assessments.
Roofing material is a major risk factor in resilience to natural disasters. So, a model that can predict it is also one that can predict which buildings are most at risk during an emergency. In Guatemala, models are identifying “soft-story” buildings–those most likely to collapse during an earthquake. “Forecast funding” can mitigate damage by providing the most vulnerable with cash assistance to prepare for disaster. Bangladesh and Nepal are nations that are already implementing this strategy.
Natural disasters, such as earthquakes, hurricanes and floods affect large areas and millions of people, but responding to such disasters is a massive logistical challenge. Crisis responders, including governments, NGOs, and UN organizations, need fast access to comprehensive and accurate assessments in the aftermath of disasters to plan how best to allocate limited resources. To help mitigate the impact of such disasters, Google in partnership with the United Nations World Food Program (WFP) Innovation Accelerator has created "Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks", which details a machine learning (ML) approach to automatically process satellite data to generate building damage assessments. As per Google this work has the potential to drastically reduce the time and effort required for crisis workers to produce damage assessment reports. In turn, this would reduce the turnaround times needed to deliver timely disaster aid to the most severely affected areas, while increasing the overall coverage of such critical services. The World Food Programme was awarded the 2020 Nobel Peace Prize and they thanked Google and its team of engineers in pioneering the development of artificial intelligence to revolutionise humanitarian operations.
The application of machine learning techniques to satellite imagery is revolutionizing disaster relief. Crisis maps and image comparisons are helping relief organizations to deliver aid with precision.
Credits : Akhil Handa Prithwijit Ghosh
Zero Gravity Fridge
Dear Reader,
Thinking of a household kitchen without a refrigerator in it is almost impossible. Astronauts have been going to space since 1961, and have to eat canned and dried food that have only three years of shelf life as they still don’t have a refrigerator that can work in space.
The simple reason being, refrigerators rely on gravity to distribute oil through the compressor system that regulates temperature, so in space these systems don’t work or break down quickly.
Now, In a project funded by NASA, a team of engineers from Purdue University, Air Squared, and Whirlpool are building a prototype that can operate just as well in outer space as it does on Earth. The team of researchers is building a refrigerator that can keep food cold on longer missions in space, at zero gravity. It is aimed at giving astronauts a supply of food that could last five to six years.
Even though fridge experiments have been made in space before, they either didn’t work properly or eventually broke down. Cooling systems currently on the International Space Station are used for experiments and storing biological samples rather than for storing food, as they consume significantly more energy than on Earth.
In a typical fridge, gravity helps to control the flow of liquid and vapour. Similarly, the oil lubrication system inside of a fridge’s compressor is gravity-based. When bringing new technology into space, making the entire system reliable in zero gravity is the key challenge.
The device is about the size of a microwave oven that can fit into the International Space Station’s rack system and can store biological samples for science experiments. Purdue researchers also demonstrated that the refrigerator can operate in different orientations, even upside down, an important capability for the variable gravity of lunar and planetary missions.
Overcoming the zero gravity problem and its effect on the flow of oil throughout the refrigerator has been addressed with the use of an oil-free scroll compressor developed by Colorado-based company, Air Squared, a specialist in oil-free scroll solutions. The compressor will be tested both in the prototype and in its larger, more instrumented counterpart built by Purdue researchers.
The engineers have built three experiments to test the effects of microgravity on a new oil-free fridge design: a prototype for potential future use on the International Space Station, a setup for testing the prototype’s vulnerability to liquid flooding and a larger version of the prototype with sensors and instruments to capture how gravity affects the vapour compression cycle.
The team ran all the three experiments to test the machine in a specially-designed plane that flew in microgravity. They found that the refrigerator could operate in microgravity without any liquid flooding. The oil-free vapor-compressor inside the fridge addresses the concerns about their suitability in zero gravity.
Thus, if we are to colonize Mars in the near future, it is safe to assume that we would have a ready prototype of a refrigerator for our households.
Credits : Akhil Handa Clint James
Road Network Management with AI
Dear Reader,
The lack of road safety in India is increasingly becoming a matter of major concern. According to National Crime Records Bureau (NCRB) data, India recorded around 4.3 lakh road accidents in 2019, which took the lives of 1.5 lakh people. Poor road infrastructure, encroachment, and increasing number of vehicles have contributed to the high number of road hazards in the country. The solution seems clear: real-time road monitoring and information collation about road infrastructure.
New Delhi-based deep tech startup Nayan India Science and Technologies has developed a road safety and traffic monitoring solution that uses a camera, computer vision and artificial intelligence. The application constantly monitors roads, infrastructure, and traffic violation. The AI Powered algorithms analyse the video feeds and alert in case of violations, defects or dangers on the road. The B2B SaaS startup works with road transport authorities, insurance companies, private aggregators, public transportation fleets etc. to provide real world, last-mile analytics to better revenue channels.
RoadMetrics is an AI-based solution that uses image and sensor data obtained from a simple smartphone to classify road defects, signs, traffic signals, street lights, etc. This road and street-level data helps enterprise mapping firms and smart city bodies with analytics on road networks and a better mapping experience. The data is sold through the API model as well as on a per km basis, depending on the geography for Smart Cities.
Swedish start-up, Mapillary, acquired by Facebook, is the street-level imagery platform that scales and automates mapping using collaboration, cameras and computer vision. Mapillary’s tools enable anyone to collect, share, and use street-level images which are combined for improving the city maps.
US based RoadBotics automated inspections and generated actionable data about road networks, including identification of individual distresses like potholes and alligator cracks. Their detailed maps, unbiased ratings, and practical tools save time and taxpayer dollars for hundreds of communities across the country and around the world.
As per IBEF ORG, India has the second-largest road network in the world, spanning a total of 5.89 million kilometres (kms). This road network transports 64.5% of all goods in the country and 90% of India’s total passenger traffic uses road network to commute. Road transportation has gradually increased over the years with improvement in connectivity between cities, towns and villages in the country. In India, sale of automobiles and movement of freight by roads is growing at a rapid rate. The startups are focused in solving road network issues by using India’s main asset - its huge population.
Credits : Akhil Handa Manisha Gawle
Beauty Trends - 2021
Dear Reader,
The global beauty industry (encompassing skin care, color cosmetics, hair care, fragrances, and personal care) has been shaken by the COVID-19 crisis. With months of lockdown, retail businesses closed and international travel ban, consumer’s purchase and usage behaviour has witnessed a dramatic change leading to fall in sales across many beauty segments.
Beauty sales declined as much as 30% in the first half of the year, according to a McKinsey report and even major brands took a blow. With more than a year under pandemic, brands are now working towards better ways to deal with the humongous shift in consumer values and expectations.
In this effort, brands are adopting new technologies at a faster speed to redefine personalisation. Some companies such as L’Oréal offers AI powered at-home devices, which can measure user conditions, like the emergence of dark spots or surrounding environmental concerns, on a daily basis. L’Oréal’s Perso device accounts for this data to dispense custom-formulated makeup every day. Another company Atolla uses AI capabilities to customize facial serums for consumers by using data collected through quizzes and tests measuring oil, moisture, and pH levels.
As per a CB Insights report, Johnson & Johnson, has invested in new engineered preservatives that could be used in items like haircare or body care products. The company invested in Curie Co, a startup that makes biomaterials to replace preservatives in everyday beauty and personal care products, through its JLABS incubator.
Another apparent trend is BigTechs offering retail channel for beauty products. Amazon launched a private label beauty brand called Belei in 2019 and recently invested in India-based D2C beauty site MyGlamm. China-based tech giant Alibaba offers livestreaming and AR features which it has used to attract luxury beauty brands to its e-commerce platform.
Virtual try-on tech leverages augmented reality to allow shoppers to test how different beauty products will look without actual trial. Remarkably, virtual try-on can also help brands personalize the beauty shopping experience, enhancing product discovery and making tailored recommendations about foundation shades, skincare products, and more.
In December 2020, Google launched an AR-powered cosmetics try on tool in Google Search, partnering with brands like L’Oréal, Estée Lauder, MAC Cosmetics, and more to let users try on searched-for makeup products using front-facing mobile phone cameras.
Going forward, we expect to see beauty brands and tech giants alike turn to virtual try-on to gather shopper data and make more personalized product recommendations.
Credits : Akhil Handa Aparna Anand
Social Equality in Tech
Dear Reader,
Why do we prize technology over everything else? Because it helps us solve problems as efficiently as possible. No one can predict from which gender, ethnicity or nationality the next great idea might come from. And the tech startup sector is a living embodiment of that.
Moving to another part of the world for employment does pose a challenge. And since most tech jobs are located at specific hotspots, many talented workers always find themselves unemployed. Software as a Service products and services are enabling employers to find and employ talent from all over the world. Remote working, work from anywhere and digital nomadism are slowly becoming the new normal. Digital marketing firm Loganix understands the potential of having a diverse team. The company runs almost all its operations globally — with teams of people from the US, Asia, Australia and Europe —employees are dynamically moved between different teams, depending on requirements, allowing quick resolution of issues.
Poor or different communication skills can fuel many workplace misunderstandings. And it costs quite a bit of time and money to learn a new language. The US Foreign Services Institute estimates that it takes on an average 480 hours to gain basic competence in languages. This was a problem that cloud-based tuition service Preply aimed to fix. The platform offers a place for both language tutors and students to collaborate easily and affordably.
Tutors can create their profiles with rates, experience and number of languages spoken; and students can review their tutors, making it easy for other students to decide who to hire. Workers planning to move to another country can use such services to learn a new language far cheaper than attending a language school. HR teams can also hire tutors to educate employees who need to go abroad or new recruits from other countries.
Social inequality isn’t always about creed, gender or nationality. Entrepreneurs are usually handicapped due to high entry barriers in business. Indeed, the cost of acquiring customers is every bit the startup killer it is known to be. Oleg Campbell, a Ukrainian developer who bootstrapped his startup, Reply, to a $2 million a year company, certainly identifies with the struggle. Campbell’s lack of sales experience stalled the growth of his first enterprise. Consequently, he focused his efforts on helping tech entrepreneurs overcome their lack of salesmanship with smarter tools. Reply’s LinkedIn email finder is specifically for new companies looking for affordable, effective lead generation. Such a tool can help a user find email addresses of prospects on LinkedIn. Paired with LinkedIn’s Sales Navigator, users can create highly personalized outreach messages for each prospect.
The tech sector can, and should, be the leader at showcasing the advantages of diversity. By championing the cause of gender diversity through socially agnostic platforms, they are leading the cause of social equality in tech.
Credits : Akhil Handa Prithwijit Ghosh
Smart Farming
Dear Reader,
Smart farming can be referred to as the 4.0 green revolution in the field of agriculture combining agriculture methodologies with technology — Sensors & Actuators, Information and Communication Technology (ICT), Internet of Things (IoT), Robotics and Drones to achieve desired efficiencies of production which are sustainable.
According to a survey, 80% of farmers in US and 24% farmers in UK have already started using Smart Farming Tool (SFT). These numbers are cognizant of the fact that SFTs are adding value to the farming ecosystem. As far as the scale of operations is considered, Smart farming tools and techniques can be applied to large scale and on the other hand distributed conventional farming can be applied to focused small farming set of organic farms.
Through remote sensing, smart farming system reduces waste, improves productivity and enables optimum resource management. For the benefit of micro farming, multiple crops are grown simultaneously on remote lands which require different care, manure, soil and water. By linking local sensors to smart irrigation and control, things like sensing pH balance of the soil, gauging local temperature is now possible through remote monitoring and sensing rather than walking the field all the time. This leads to increase in the yield as farmers can save on time and focus on the real issues of farming — pest control, irrigation and amending soil conditions all using sensing and automation.
Companies like Robotics Plus, a startup with USD 10 million funding from Yamaha is planning to deploy its fruit plucking robots into production, while Ecorobotix with their Weed Zapping Robots have gained considerable momentum owing to the growth in Smart farming techniques.
Precision farming system has a lot of dependency on the software management systems. Control systems manage sensory input, delivering remote data for supply and decision support, as well as automation of machines . Basically, it is a standardized business approach balancing the demand and supply side with respect to resource management.
During production, it is mostly resource management from a growth and yield perspective. For instance, precision seeding uses automated tractors to reduce seed loss and seeding with proper space management between different plants. Another example is of precision water delivery.
On the demand side, it is about demand forecasting and delivering goods just in time to reduce waste.
India has always been an agrarian state, and traditional farming methods are manual and too labour intensive. Smart Farming can also provide great benefits in terms of environmental issues, for example, through more efficient use of water and optimisation of treatments and inputs
Credits : Akhil Handa Clint James
Floating Farms
Dear Reader,
Tap a button on your phone and hop into the shower; walk downstairs 15 minutes later, and you have a fresh pot of coffee waiting for you. This is no longer just a fantasy for many people. The rise of the internet of things has allowed us to control remote appliances with just a tap of the touchscreen. Until now, the scale of these processes has largely been limited to personal devices: anything from brewing a pot of coffee to warming up your car on a frosty morning. But what if we could grow food for thousands of people, with that same tap of a button with “Smart Floating Farms”.
Forward Thinking Architecture a Barcelona based firm’s design comprises a multi-level agricultural farm that can be constructed, pushed out to sea, and left to work mostly on its own. The farm is designed to operate on three levels: a bottom level containing wave barriers, an aquaculture fish farm, a slaughterhouse, a packing facility and desalination plant; a second tier for hydroponic and aeroponic food production; and a rooftop level having skylights to let in light and photovoltaics to provide the energy required to power everything.
Each level is roughly 750,000 square feet – with enough room to grow up to 8.1 tons of vegetables and 1.7 tons of fish per year. The architects estimate that this would cover the project’s expenses within 10 years. And since the farms are modular, a few or many of these structures could be grouped together to provide enough food for entire communities, especially those located in areas without arable land, or with a population so large it overwhelms its food supply capabilities. And unlike other forward-thinking agricultural techniques like urban farming, it spares valuable land space for alternate uses.
The world population is predicted to grow from 6.9 billion in 2010 to 8.3 billion in 2030 and to 9.1 billion in 2050. By 2030, food demand is predicted to increase by 50% (70% by 2050). The main challenge facing the agricultural sector is not so much growing 70% more food in 40 years, but making 70% more food available on the plate. To meet this ever growing demand, new agricultural techniques must be developed.
Floating Farms envisage making the farming process autonomous, placing the structures on top of the water allows the farms to adapt to rising sea levels and avoid flooding issues common to traditional agricultural techniques. While this strategy may seem outlandish, it actually has a long and successful pedigree, having been employed for centuries by Bengali farmers as a response to dramatic changes in water level during flood seasons. The farmers construct beds in lakes and rivers using several layers of bamboo and water hyacinth, fill them with semi-decomposed aquatic plants and then seed. The beds are tethered to the lakebed to prevent them from floating away. As a result production rates have increased manifold compared to existing land-based practices.
However, the true innovation of the Smart Floating Farms project is in taking non-traditional farming techniques and combining them with already-existing technologies. Jan Willem van der Schans, a senior researcher at Wageningen Economic Research who specialises in urban farming and circular economy issues, said such floating farms could be the future for sectors of agriculture such as fruit and vegetables in parts of the world.
As the architects acknowledge in their design statement, the project “is not meant to solve all of humanity’s hunger problems or to replace existing traditional agriculture.” One project alone will not save the world, but embracing the technologies available to us is a great start towards tackling these issues. If only it were as easy as the touch of a button.
Credits : Akhil Handa ClintJames
Partnering with Insurtechs
Dear Reader,
Insurers across the world are adjusting to the new normal of the on-going pandemic, and as a result, there is massive acceleration in digital transformation efforts. For this purpose, Insurers and non-insurance companies alike are bringing on insurtech companies as strategic partners.
Gartner defines insurtechs as technology companies that are in their early stages of operation; that drive specific innovation across the insurance value chain by leveraging new technologies, user interfaces, business processes or business models; that leverage different forms of funding, including venture capital.
As per a CB Insights report, Funding to insurtech companies hit yearly and quarterly highs in 2020 and Q1‘21, respectively, signaling the confidence investors have in the future of the insurance tech market. In 2020, business relationships involving insurtech companies also hit a record high, coming in at over 650 partnerships for the year.
Companies such as Axa, Munich Re, and American Family are among the insurers with the most formal business relationships with insurtech companies. Recently, China-headquartered Leapstack, an AI-enabled InsurTech company specializing in healthcare, has announced a strategic plan to ink strategic partnerships with multiple Korean insurance companies as the company advances into the South Korean market.
Some Consumer-facing insurtech companies are partnering with other tech providers to improve their product offerings.For instance, auto insurtech Root provides additional benefits to policyholders via partnerships with road assistance app Agero and gas station location app GasBuddy. Home insurtech Hippo recently partnered with ADT and Handdii to improve the security and home repair services it offers policyholders. As these insurtech companies look to aggressively grow their customer bases, expect them to continue partnering with companies that offer complementary digital services.
The partnership between Galileo Platforms, a specialist blockchain technology platform for the insurance industry, and Amodo, a provider of insurance telematics technology and advisory services, including behaviour data analysis, will enable clients to benefit from their diverse experience and expertise in their respective areas of the insurance industry.
Primary core insurance software vendors like Duck Creek, Guidewire, and Unqork are also among the most active in partnering with insurtechs. These companies are incorporating complementary insurtech products to create a stickier experience for customers by tying these products to their core suites. Horizontal software providers like Microsoft and Salesforce and more mature insurtech platforms like Bold Penguin and Snapsheet have also actively formed partnerships to build out their insurance ecosystem capabilities.
We believe, as insurtech companies mature and build increasingly innovative solutions, expect to see insurers double down on successful partnerships and explore new ones.
Credits : Akhil Handa Aparna Anand
Geospatial Analytics in Insurance
Dear Reader,
Insurance industry is slowly embracing remote property intelligence as a quick, dependable, and cost-effective alternative to relying on estimates based datasets. COVID-19 lockdowns and corresponding physical-distancing protocols have double-downed the need to rethink underwriting.
High-resolution aerial imagery can reveal the underlying risks of the properties and add to the details in application data for underwriting purposes. According to a report by Markets & Markets, the global geospatial imagery analytics market size is expected to grow from $6.9 billion in 2020 to $27.9 billion in 2025, at a Compound Annual Growth Rate (CAGR) of 32.1% during 2020-2025.
Insurers are likely to increase the use of geospatial analytics to take advantage of the latest in AI & ML advancements to allow for automated damage classification by combining this with location information such as an address and other information like the extent of damage. Pre and post-disaster imagery also will provide intelligence needed to expose insurance fraud.
Companies such as CAPE Analytics provides instant geospatial property intelligence for buildings across the USA and have now expanded to Canada. When integrated with Guidewire, Cape Analytics and Betterview offer insurers improved visibility and actionable insights into damage or risk so they can more accurately price, underwrite and adjudicate commercial and personal lines.
InsitePro by Intermap is a cloud-based software solution that brings together all the necessary data and analytics for underwriting natural catastrophe risk. Detailed elevation and terrain knowledge provides critical data giving underwriters the ability to expand portfolios and reduce risk exposure.
Under GOI’s crop insurance scheme, Pradhan Mantri Fasal Bima Yojana (PMFBY), agencies will be conducting large-scale pilot studies for technology-based gram panchayat level yield estimates, using Geospatial Analytics.
Skymet in India is opening up its 10-year geospatial proprietary farm-level data repository through a digital platform ‘SkAlgeo’. It can help the banking and insurance sector to create programmes after evaluation of crop risks using different indices. Some banks are using a digital lending solution built using the SkAlgeo platform to assess the risk profile of the farmers.
The pace of change has been augmented by the industry’s need for quick decision making, driving down costs and optimizing the customer experience. We believe, geospatial analytics can help insurers make more accurate underwriting decisions, help reduce losses and assess claim payouts judiciously.
Credits : Akhil Handa,Aparna Anand
AI-driven Architecture
Dear Reader,
The arrival of modern technologies such as artificial intelligence, machine learning, augmented reality, and more in the health and fitness world has brought a remarkable change in this industry. It has changed the way people used to exercise and keep themselves fit and healthy. Now, a visit to gym or health club is no longer needed to stay fit; these technologies have made it pretty easier to do all those exercises from the comfort of your home.
Zenia is a popular fitness startup that uses computer vision to develop and deploy an AI-driven fitness trainer. Users can choose from thousands of yoga asanas and do it from the comfort of their home. The AI-based trainer in the app helps them to correct their posture. The company has received huge funding during 2020 that has added to its valuation.
Aaptiv, the popular fitness startup connects people to a wide range of fitness trainers for home and outdoor workouts. Users can do the wellness sessions provided by trainers on their own without the need for equipment. In short, the app offers a no-equipment workout. Each one of Aaptiv's thousands of workouts, which span every type of exercise and a wide variety of activities, combine the guiding voice of an expert Aaptiv trainer with motivating music. This audio-based format eliminates distractions and provides the flexibility many people require - allowing them to focus on their fitness goals, as it suits them.
Tonal, the home fitness startup raised a huge sum of $110 million in its latest round of funding. The startup received this funding from the existing investor L Catterton and the new investors Mousse Partners, Delta-v Capital and Amazon’s Alexa Fund along with renowned athletes Michelle Wie, Paul George, Bobby Wagner, and Stephen Curry. With this funding, Tonal’s total funding has reached up to $200 million.Tonal is a home fitness application that focuses on training users smartly. Users can choose a coach-led workout, make their own workout, track their progress and achieve fitness goals. Digital weights, 170 moves with one equipment and adjustable arms are some of the key features of this app.
Freeletics, the digital fitness firm provides tools to promote and offer mindset coaching, mental strength, confidence, and physical fitness among people. The fitness app uses artificial intelligence to offer its services. This AI-powered fitness app has secured $25M Series B funding led by U.S.-based JAZZ Venture Partners and Causeway Media Partners, with support from KKCG. Freeletics has more than 48 million users in more than 160 countries.
The modern fitness apps are facilitating all types of fitness, including yoga, meditation, aerobics and other exercises. This growing popularity and use of fitness applications are one of the biggest reasons that investors worldwide consider them profitable and investing huge money in them.
Credits : Akhil Handa,Manisha Gawle
Contextual Fencing
Dear Reader,
From sending a tailored promotion when a customer enters a retail store to powering order-ahead food delivery, geofencing plays a key role in making mobile apps contextually aware. Geofencing is a location-based service in which an app or other software uses GPS, RFID, Wi-Fi or cellular data to trigger a pre-programmed action when a mobile device or RFID tag enters or exits a virtual boundary set up around a geographical location, known as a geofence.
Think about geo-fencing like an electric fence. In the real-world Geo-fencing allows for the setup of virtual fences or areas, wherein the entry and exit through the areas triggers a response or action by the individual or company monitoring the geo-fence. So, geo-fencing triggers alerts for a business owner when key things happen: a customer visits a store, for example, or the store of a competitor.
BMW is an industry leader in the automobile industry. BMW uses geofencing to enhance their customer service. Cars with BMW Trackstar monitor the position of the vehicle. Once a customer activates their service, the position of their car is tracked and pinpointed every 20 seconds. Customers can use their mobile application to track the location of their car if it’s parked in a garage or somewhere on the city streets. That way they never have to worry about forgetting where they parked. Furthermore, this service also helps prevent theft. Geofencing helps them go the extra mile to provide customer service, which is a profitable strategy.
Apple Maps is constantly tracking our location. Based on our habits, this app can predict where one is most likely to go. For example, if you leave work around the same time every day and drive straight home, Apple Maps will recognize this habit. If the app knows that you’re not home, based on being outside of a geofenced area, it will send a push notification informing how long it will take to get home and what the traffic will be like.
Today’s use of geofencing has evolved beyond simply tracking where a target customer is at any given time. With privacy concerns challenging companies to rethink their use of geofencing, companies like Radar are leading the way in innovating how geofences can improve the user experience.
Having data about consumer behavior can be helpful to design better and personalized products. Uber first implemented the geofencing feature to identify airports to notify people in airports about available cabs and special offers on booking.
In the times to come we expect to see companies use geofencing more strategically to send contextually relevant messages.
Credits : Akhil Handa,Prithwijit Ghosh
AI in Defence sector
Dear Reader,
India holds the 4th rank in terms of the Army strength, with US, Russia and China placed ahead of it. The Indian startups are leveraging technology to come up with innovative solutions for empowering the nation’s defence and security. These startups are from different locations in the country and have specialisation in areas such as drones, advanced materials, cyber security, IoT, etc.
Gurugram-based CRON Systems is developing IoT-based products to help the armed forces deploy border security solutions. CRON Systems initially began focusing on building laser walls for the Border Security Force (BSF). But it eventually expanded its products and services to include automation for drones, rovers and a central dashboard to control the applications through its command, control, communication & information (C3i) hub miCRON.
Bengaluru-based Asteria Aerospace is a robotics and artificial intelligence startup, which provides drone-based solutions to the military, paramilitary and police forces for security and surveillance purposes. Asteria Aerospace’s product line currently includes three drones. Its CYGNUS drone is a mini fixed-wing drone known for its endurance, range and payload capabilities and is used for ground-up surveillance and security operations. Asteria’s second product, DGCA certified A200, is a micro sized drone deployed for enterprise operations. Thirdly, the A400 is a mini drone whose vertical takeoff and landing allows quick deployment and surveillance from confined locations.
Ahmedabad-based Optimized Electrotech is an electro-optic startup that provides security and surveillance solutions. The startup provides electro-optics system, which can be used for the surveillance of smart cities, satellite-based imaging, border surveillance, medical imaging, access control, machine vision, automotive (Advanced driver-assistance systems, i.e., ADAS) and consumer electronics. The startup’s InfiVision product series can detect a tank from a distance of 30 km.
Chennai-based defence tech startup Big Bang Boom Solutions (BBBS) is involved in developing integrated warfare systems for defence purposes. Some of the products developed by the startup include: T-Series Unmanned Tank Development, BN (boron nitrate) based Hybrid Personal Combat Armour, 360 Advance Battle Interface, Flying Warden-drones for riot control and a smart fencing system.
Iowa and Chennai-based Vinveli, focuses on providing solutions to the aerospace and robotics industry. The startup is involved in building Unmanned Aerial Vehicles (UAV) for both commercial and defence purposes.
The possibility of AI-ushered advancements has opened the scope of an arms race where the conventional military capabilities will matter much less in future. In November 2019, the Indian government said it was looking to fund at least 250 defence startups over the next five years in order to come up with new cutting-edge solutions for the armed forces.
Credits : Akhil Handa,Manisha Gawle
Clearing up Space Debris
Dear Reader,
Various entities are putting more and more satellites into Earth’s orbit every year making it extremely crowded with defunct satellites and debris. Scientists around the world are worried about accidental collisions affecting new space missions. Governments and start-ups are now working on numerous ways to fix this humungous mess.
NASA has a special ORBITAL DEBRIS PROGRAM OFFICE according to which more than 23,000 orbital debris larger than 10 cm are known to exist. The estimated population of particles between 1 and 10 cm in diameter is approximately 500,000. The number of particles larger than 1 mm exceeds 100 million. As of January 1, 2020, the quantity of material orbiting the Earth exceeded 8,000 metric tons.
NASA recently gave out a handbook on how to avoid crashes for commercial satellite providers, and this month signed an agreement with SpaceX to ensure that both prioritize safety during launches and orbital manoeuvres.
Astroscale, is a Japanese startup which wants to remove hazardous clutter from an already congested space environment. It has achieved a critical breakthrough with the successful launch of its ELSA-D debris removal spacecraft last week.
Russia’s GK Launch Services sent ELSA-D into space on a Soyuz rocket from the Baikonur Cosmodrome in Kazakhstan. The system works by attempting to attach itself to dead satellites and push them towards the earth for burning up in the atmosphere, using a magnetic docking technology.
Apart from Astroscale, ClearSpace SA, a Switzerland-based startup founded in 2018, is aiming to launch the world’s first active debris removal mission in collaboration with ESA by 2025. The mission’s objective will be to remove a fragment of the Vega rocket launched in 2013. It is a bulky piece, about a hundred kilos and a similar size to many satellites in orbit, which is why it has been selected.
The concept is relatively simple—a vehicle will be launched with several mechanical arms that will trap the piece in orbit. Once captured, a descent manoeuvre will be initiated with which the spacecraft and the piece of junk will disintegrate due to the atmosphere's friction.
In India, young Bengaluru-based space startup, Digantara Research and Technologies, is working towards setting up an orbit rubble tracking and monitoring services.
Another Japanese company - Sumitomo Forestry and Kyoto University have joined forces to develop what they hope will be the world's first satellites made out of wood by 2023. This partnership will begin experimenting with different types of wood in extreme environments on Earth.
These strategies will be critical since, by 2029, there will be an estimated 57,000 satellites in orbit. Fortunately, this time around, we have the knowledge and tools to resolve the situation before the accumulation of space junk becomes unsustainable.
Credits : Akhil Handa,Aparna Anand
Sweat Powered Watches
Dear Reader,
You have probably heard of solar powered smart watches but what about a sweat powered watch? When people talk about renewable power, sweat isn't exactly something that springs to mind, but it sounds like that this natural process is actually capable of powering fitness trackers and maybe even smart watches too. It sounds pretty crazy but scientists have figured out a way sweat could be used to replace traditional batteries.
The research was done at the University of Glasgow where scientists created a battery cell that has a new type of flexible super capacitor that can be used to replace electrolytes typically found in batteries.
The tech works by collecting the sweat a person naturally produces. This is done by “coating polyester cellulose cloth in a thin layer of a special polymer”. The absorbency of the material attracts perspiration. The ions in the sweat react with the polymer which results in a reaction that generates electricity. Researchers say the battery can be charged with only 20 micro litres of sweat. It’s also very sturdy and can survive several thousand flexes and bends it might encounter – ideal for a wearable strapped to your wrist.
So not only would sweat be a non-invasive way to check on your body's health, it would likely be a highly accurate way too, in the realm of blood in some areas – which is far more appealing than something like heart rate, which has a comparatively limited scope.
The University of Pennsylvania has combined those ideas with graphene, a material considered to be "the best sensor material in existence", to create the SweatSmart by GraphWear. Graphene would essentially allow the sweat sensor to be four times more accurate than current sensors.
Then there are companies like LVL and Halo Wearables, who are aiming a little lower with their sweat-based trackers. The company has spent the past six years working on the Halo Edge, a device that analyses your sweat to indicate hydration levels.
In the same neighbourhood is Kenzen, a company which produces the Kenzen patch, which continually tracks biosensors in your sweat and sends you real-time alerts about your health.
The tech seems promising although it is still in the research phase. But the team is planning to take forward the research on integrating sweat power into wearable devices. After all, they are the perfect option for such technology as you typically wear them while exercising. However, the best hope perhaps lies with LVL and Halo Wearables. There's a chance that bigger companies like Samsung, Apple and Fitbit will explore sweat-based wearables, but that doesn't seem to be on the horizon just yet. So it might be down to the start-ups to make the first breakthrough and hope the major wearable tech heavyweights follow.
Credits : Akhil Handa,Clint James
Data for all
Dear Reader,
Data is king or so they say. Inclusivity for data platforms can be achieved when data reaches all stakeholders without lag or restrictions. Market information disseminated quickly could make the difference between making and losing money in the financial markets.
Spending on financial market data/analysis and news exceeded the USD 30 billion mark for the first time ever in 2018, according to a new report published by Burton-Taylor International Consulting.
Xignite’s market data cloud is a single platform that unifies financial data consumption. It provides cloud-based financial market data APIs to help emerging companies and established enterprises deliver real-time and reference market data to their digital assets, such as websites and apps. Xignite cloud API’s cover millions of financial instrument across all asset classes.
With all the real time data at hand, investors would like to trade across all asset classes. Robinhood makes it possible to trade in stocks, ETF’s, options and crypto, brokerage free. It also gives access to professional research reports, margin trading and instant deposits. Various other tools and features such as price movement notifications and customized investment news provide additional appeal.
Market Prophit is a financial Big Data analytics company delivering real-time, meaningful intelligence to investors through sophisticated natural language processing, predictive analytics, and powerful visualizations of sentiment and buzz derived from financial related conversations in social media chatter. Market Prophit is the first service ever to provide quantitative rankings of financial bloggers data in social media and generate unique, real-time sentiment signals (bullish/bearish).
Another fintech startup Mindbridge Analytics is using AI and ML to detect anomalous patterns of activities, unintentional errors and intentional financial misstatements in financial datasets. The auditing software will automate ingestion and analysis of data and help accountants identify risk. A risk score is generated for the processed data and will flag transactions that need investigation.
Financial institutions harnessing the power of big data coupled with fintech innovation are leveraging meaningful insights from many disparate data sets. Fintech players have set the ball rolling for financial inclusion. A collaborative approach is the natural next step to accelerate the pace of this process.
Credits : Akhil Handa,Prithwijit Ghosh
Automated Driving
Dear Reader,
Automated driving normally refers to self-driving vehicles or transport systems that move without the intervention of a human driver. These features generally fall into logical groups based on how they combine acceleration, braking and steering. Autonomous vehicle market is projected to surpass US$ 65 billion by 2027 with companies such as Tesla, Autoliv Inc. being the key players.
Drivers need to be able to process a great deal of information as it is a skill that must be learned – this not only applies to people but is also true for automated and autonomous vehicles. In order for driverless cars to react correctly and safely in all situations, they require artificial intelligence and an electronic “brain” that must possess immense computing power.
With the new generation of its AI-capable control unit, ZF ProAI, has developed advanced driver assistance systems (ADAS) which rely on cameras and radars. Companies like Waymo are working on the next stage: autonomous driving. When cars can drive themselves, human error – statistically the most likely cause of accidents – will no longer be an issue.
Today, cars are being developed with cognitive abilities similar to that of a human brain so that they can make decisions which are not included in their code. In a fraction of a millisecond, self-driving cars must be able to process 360-degree view of the environment, interpret this information, verify the position of the vehicle itself, track the position of any sources of danger, calculate and carry out driving manoeuvres. Thus making, Vision Zero - the goal of ending motoring accidents a reality.
Chinese car sharing operator Pand Auto is already testing automated cars in Beijing. The Chinese government is supporting the construction of large test sites and has opened the first test center for autonomous vehicles in Beijing, creating what is literally a driving school for autonomous vehicles.
The trend toward automation is not just limited to passenger cars. Companies like ZF Friedrichshafen have long been working on self-driving mass transit and cargo movers, automated commercial vehicles, parcel delivery services, intelligent forklift trucks and innovative agricultural machinery.
On the other hand, Amazon is planning to put 100,000 electric delivery vehicles on the road by 2030, with deliveries starting as soon as 2021. They plan to buy these vehicles from Rivian, an electric automaker in which Amazon has invested $440M. Similarly, Microsoft is joining forces with Cruise, the self-driving subsidiary of General Motors, to help speed up the commercialization of autonomous vehicles. Looking at the potential possibilities, we can safely conclude that self-driving cars on roads don’t seem to be a distant dream.
Credits : Akhil Handa,Clint James
Parking Payments
Dear Reader,
Increasing adoption of integrated automated solutions coupled with the advancements in wireless technologies are expected to drive the growth of smart parking market. Major technologies used for the deployment of efficient systems include sensing devices, machine-to-machine (M2M) communication, smart parking meters, data analytics, mobile apps for e-reservation of slots and online payments.
According to Brand Essence Research Report, Global Smart Parking Market was valued at USD 5.62 Billion in 2018 and expected to reach USD 12.83 Billion by 2025 with a CAGR of 12.5% over the forecast period.
In recent years, parking payments has drawn the attention of many FinTechs and digital payment solution providers. In India, National Payments Corporation of India (NPCI) has introduced an interoperable system so that FASTags can be used to pay parking fees at malls, airports and other private parking lots across key metros - Delhi, Mumbai, Chennai, and Bengaluru.
Such payments will be contactless, which assumes significance in the wake of Corona virus pandemic. The NETC FASTag solution will work both as post-paid and pre-paid solutions for securing parking at a parking plaza. There will be no additional cost to customers with respect to the parking fee, other than the one-time purchase cost of the tag. There will also be dedicated FASTag lanes.
In the US, Passport, a transportation software company supports the management of vehicle interactions with streets and sidewalks, through its robust digital parking payment technology. Passport supports over 1,000 clients of all sizes in North America and has processed more than $2B mobility transactions to date.
Similarly, ParkMobile is another leading provider of smart parking and mobility solutions in North America, using a contactless approach to help people easily find, reserve and pay for parking on their mobile devices.
Last month, Google announced entering into an advanced partnership with both Passport and ParkMobile. The parking payment feature can be availed in over 400 US cities, including Boston, Chicago, Houston, Los Angeles, New York and Washington DC.
Simply tap on the 'Pay for Parking' button that appears as you near your destination. Then enter your meter number, the amount of time you want to park for, and tap 'Pay'. The payment will be processed through Google Pay application.
Google Maps, along with Passport, is in the process of expanding the ability to pay for transit fares for "over 80 transit agencies" around the world, allowing the users to plan their trips, buy tickets and start riding without needing to toggle between multiple apps.
We believe that the increased interest around the parking payment technology will provide an opportunity for IoT and mobility players to up their game and significantly increase revenue generation, to get back on track in the wake of the pandemic.
Credits : Akhil Handa,Aparna Anand
RegTech
Dear Reader,
RegTech is the management of regulatory processes within the financial industry through technology. Regtech automates regulatory processes and ensures compliance with regulations. It uses technology to support the ongoing monitoring of regulations and facilitates necessary reporting. Regtech also creates transparency and consistency, as well as substantially increases the quality of risk management and compliance. Another advantage is greater security arising from the continuous monitoring of processes.
Banks and financial companies have to act in accordance with many regulatory requirements. The UK-based startup REGnosys offers a regulatory technology compliance platform, called Rosetta. It aims at facilitating the implementation of the Common Domain Model (CDM) for financial sector players with programmatically enforced compliance mechanisms. The solution saves costs and risks based on a specific rule-based operational lifecycle design.
Canadian startup Mind Bridge creates a financial data analytics platform for auditing, based on AI and machine learning. It leverages accounting data and incorporates domain expertise to detect mistakes and anomalies, spot potential risks and investigate specific cases with built-in natural language processing (NLP) search to help banks and financial institutions resolve issues encountered during regulatory compliance.
Singapore-based startup Dathena utilizes AI to arrange a suite of regulatory data safeguarding tools for the financial, healthcare, travel and retail industries. This suite allows enterprises to organize their data repositories, manage secure access to files, classify data by importance and confidentiality, automate data protection policies implementation and ensure data security.
Banks and financial organizations are obliged to cope with government norms and to regularly create and submit corresponding regulatory reports. Israeli startup Cappitech provides a regulatory reporting platform, Capptivate, for FinTechs. The solution automates data transfer, as well as report creation and submission. Besides, it validates given information and reformats it in accordance with regulatory requirements, monitors the reporting status and provides feedback on past reports.
Chile-based startup Ceptinel has developed a real-time regulatory monitoring system for financial companies. As government laws, regulations and procedures tend to change over time, established companies and FinTechs alike need to stay aware of any pending requirements, modifications in norms, or new state guidelines related to their business. It applies machine learning and complex event processing algorithms to treat large amounts of data coming from various sources to ensure compliance with new regulatory requirements.
Regtech increases effectiveness, efficiency, security and transparency for all market participants, enabling them to focus on their core competence, safe in the knowledge that they are operating in accordance with the legal and regulatory requirements.
Credits : Akhil Handa,Manisha Gawle
Automobile Commerce
Dear Reader,
The auto industry has been facing the heat to move digital more than ever as the pandemic has brought upon new challenges and deepened the need to shift toward digital solutions. Auto dealers have been slow to adopt digital car-buying solutions, but with lockdowns closing dealership doors, the pandemic accelerated the shift to omni-channel auto retail.
Online car buying has taken off in a big way during the pandemic. According to Publicis Sapient, many digitally enabled OEMs are seeing increased, higher quality leads that are 30 percent more likely to buy and a two to four-fold surge in website traffic compared with pre-COVID-19. These online tools are, in some instances, responsible for more than 20 percent of new leads during the second quarter of 2020.
More recently, a number of digitally focused disruptors such as Carvana, Carmax and Tesla have entered the market, offering unique, omni-channel experiences like flexible return policies, virtual auctions, home deliveries, online negotiation and virtual trade-in valuations. These digital leaders recognized a shift in customer expectations and focused on creating seamless user experiences across the entire shopping journey.
Online used car seller Vroom noticed a considerable growth in demand as a result of the pandemic, with people turning to digital methods for purchasing cars. Similar to its competitor Carvana, Vroom offers no-haggle pricing and a no-questions-asked return policy. Another Used car marketplace Shift Technologies went public via SPAC in October 2020. Shift allows users to buy, sell and finance cars online. The company offers a "buy it now" option that allows a buyer to purchase a vehicle online without a test drive. Similarly, Cazoo, a UK based company, sells refurbished cars online, delivers them to customers' homes within 48 hours, and offers a seven-day free returns policy.
Then there are digital platforms that help the dealerships move their businesses online. Take for example, Modal which makes software for car dealerships to move the entire buying process online. Another company, Digital Motors builds a car-buying platform for auto retailers, dealerships, brands and manufacturers.
The new car ownership model of subscription offers ease and convenience to customers like never before. Switzerland-based Carvolution offers car subscriptions where Customers pay a monthly price for a vehicle and are free to switch cars as they like.
We believe that, the winners in this industry will be defined by how quickly they adapt to technological innovations. The dealers and OEMs who adjust can thrive, while those reluctant to change will fall further behind.
Credits : Akhil Handa,Aparna Anand
Technology for a Greener tomorrow
Dear Reader,
Climate change is real and it is happening. Observable effects are seen everywhere- glaciers have shrunk, ice on rivers and lakes is breaking up earlier, plant and animal ranges have shifted and trees are flowering sooner. A 2°C increase could mean more heat waves, a ten-fold increase in Arctic ice-free summers and a complete wipe-out of the world's coral reefs, home to millions of species. More frequent and intense drought, storms, heat waves, rising sea levels, melting glaciers and warming oceans can directly harm animals, destroy the places they live, and wreak havoc on communities and people's livelihoods.
As per NASA, the planet's average surface temperature has risen by about 0.9oC since the late 19th century, a change driven largely by increased carbon dioxide and other human-made emissions into the atmosphere. Companies realize the gravity of the situation and know that the time to act is now. Aiding them in this quest is Artificial Intelligence (AI) and other modern technologies like Machine learning.
Google’s UK-based DeepMind laboratory applies its industry-leading knowledge of neural networks and machine learning to apply more efficient data interpretation to energy consumption and energy-grid distributions. These learnings were deployed for efficient energy distributions in wind farms. Prediction models developed there were used in scheduling energy deliveries resulting in a 20% improvement in operational efficiency.
Climate change has led to teething problems for the global poor and poverty stricken populations leading to poor living environments and onset of diseases and other related ills. AP-Latam, a project run by Argentina-based Dymaxion Labs, uses AI to analyze high-resolution satellite imagery to detect areas of informal settlement growth in precarious areas that are logistically difficult to analyze on the ground. By understanding and predicting areas of potential slum growth and population movements, governments can make better decisions on how to help affected families mitigate the effects of climate change.
Transportation accounts for 23% of global greenhouse-gas emissions, leaving plenty of room for positive contributions from AI. DHL and IBM have teamed up to use artificial intelligence to improve DHL’s global logistics operations. By predicting demand, risk, supply-side variations and other variables, DHL is curbing emission by optimizing their process.
Earth is the only planet we have to call home and global warming is causing irreversible damage. Global awareness is creating waves of innovation and optimizations to reduce the global warming footprint of corporations and individuals.
Credits : Akhil Handa,Prithwijit Ghosh
Smart-Robotics for Education
With the huge potential of robotics getting unlocked every day, even educators are leveraging robotics to improve the quality of education in novel ways, providing hands-on way of teaching important concepts like mathematics and science. Teachers can showcase how simple mathematical concepts like addition, subtraction, proportion etc. are applied in the field of robotics.
These bots use the same general characteristics as industrial robots, but are much safer and less expensive to use. As per 'Global Robotics Education Industry Market Research Report', the global education robot market is estimated to reach size of around $25 billion by 2026 with a CAGR of around 23%.
One of the first robots in the educational field was released in the 1980s, called the Heathkit Educational Robot (HERO). Though it was not programmed to perform practical tasks, it was a self-contained mobile robot that was controlled by an on-board computer using a Motorola CPU and 4 KB of RAM. The educational bot featured light, sound, motion detectors and a sonar ranging sensor.
Recently, UBTECH Education and Follett have formed a partnership to create interactive JIMU robotic building block systems which enables students to develop critical STEM (Science, Technology, Engineering, and Mathematics) skills in a hands-on environment. JIMU robots are designed to complement the incremental steps of STEM success in experimentation and progressive learning by providing countless hours of creative and inspiring fun.
Similarly, NuMinds Enrichment has developed AI-powered NAO robot, which enables students to interact with the humanoid as it teaches coding, literature and simulates training environments. NuMinds programs are also enhanced with cutting-edge virtual reality (VR) goggles that integrate virtual environments and augment learning, to captivate students and enhance their experience.
Back home in India, Agilo Research, an EdTech hardware start-up, has developed STEMpedia Robotics learning platform to foster creativity and innovation among the young students. This platform was part of ‘India Innovation Growth Program’ launched by Lockheed Martin, Tata Trusts and FICCI.
Based on the innovative solutions being launched, AI and robotics can effectively improve the quality of elementary and even higher education. Besides cutting down the overall cost in generating insights in different scientific sectors, the technologies can help teachers tailor the education system to suit students with diverse learning needs.
Credits : Akhil Handa,Manish Kulkarni
Edutainment
Edutainment comes from the words "education" and "entertainment." It refers to any form of entertainment that is educational. Edutainment startup aims to make the learning process smooth by engaging students and young learners mostly aged 15 and below with fun and memorable experiences through smartphones and other internet-connected devices, virtual reality-powered tools and other gamified digital learning content.
Mumbai-based Ontamo Entertainment has developed Ria Rabbit, an animated cartoon from Pashu Nagari, India, for kids in the age group of 0-6. It is India’s first age-appropriate, culturally relevant home-grown intellectual property (IP) content for children. Their storytelling animated videos, audios and picture books engage the attention of kids while building the sense of Indian values which parents would want to inculcate in them through these characters.
Another startup, SP RoboticsWorks has developed a platform wherein concepts are taught using animation videos and real-world examples. It has established more than 83 dedicated centers across India called SP Robotics Maker Labs which offers courses in Robotics, Internet of Things (IOT), Image Processing, Virtual Reality (VR) and more, both in the online and offline Smart-Class mode.
Similarly, Paper Boat Apps Pvt Ltd has launched Kiddopia, a subscription-based pre-school edutainment app, which teaches a variety of skills to kids. It covers everything from Math, Language Skills, GK and Social Skills to Creativity and Self-expression by engaging kids with its visuals as well as fun and exciting gameplay.
Similarly, Panda & Wolf Holding created a mobile-gaming app Eco-warrior for children between the age of 6 - 11. It uses game-based learning to teach children about waste sorting and recycling. Through an engaging storyline and immersive stages, the app informs young users about issues plaguing the environment like deforestation, waste pollution and overconsumption.
Mumbai-based startup Shirsa Media Labs offers an app NewsPIK which is a digital newspaper for children. The Shirsa team creates news articles, events, quizzes and other information, so children are aware of the world around them. It stimulates young minds and keeps them informed.
In this pandemic situation where education has gone online, startups are combining the concepts of education and entertainment to offer children interactive learning experience.
Tech-enabled Hostels
In the current era of technological advancements where there is an app for almost everything, hostel management appears to lag behind in adopting a new innovation. From redundant paperwork to time-consuming manual processes, most of the hostels are still following archaic methods to manage their day to day activities. These old school methods of functioning results in ineffective communication between hostels, its students and parents.
Some of the hostels or student housing companies are investing in new-age technologies to differentiate themselves by being markedly different from traditional university-led hostel systems. Such technologies include facial recognition security systems, RFID enabled libraries and canteens, attendance systems that both students and parents can access on their smartphones.
Even though student housing as a market is currently dominated by university-led facilities, it will potentially see a substantial growth with private companies entering the space to plug demand gaps. Real estate consultancy firm JLL estimates the space is expected to see a 38% CAGR amounting to Rs 2,400 crore by 2020.
Most companies in the space, like OxfordCaps, Stanza Living and Placio have standardised their attendance systems with a professional escalation matrix. They also offer biometric security systems where entry and exit times are recorded. Hostels can set a threshold time, based on which if the student is not in within a certain time, parents get a notification. OxfordCaps is leveraging IoT-connected devices to monitor energy and space consumption, specifically in gyms, reading lounges and TV rooms, where usage usually remains untracked.
Considering industry average of around 40% for food wastage in hostels in urban centres, various organisations like Stanza Living are using advance analytics to reduce operational costs. With the ability to predict and analyse consumption data, food wastage at Stanza properties have been reduced to less than 10%.
On the other hand, Placio brings social incentive that is used by ride hailing firms such as Uber and Ola to hostels. It digitally tracks various parameters like student behaviour, general cleanliness, punctuality etc. to reward the better ranked students with online gift vouchers.
With majority of the students staying at hostels to complete their education, such tech-based offerings not only improve the quality of life but also help them get exposed to advanced technologies like facial recognition, digital gift vouchers etc.
HR Tech
Every organization needs to onboard good talent, retain, engage them and work with them to increase efficiency and productivity. Huge amount of time and money is spent to search, select, interview and hire the perfect candidate. Artificial Intelligence (AI)/ Machine Learning (ML) integration into human resources (HR) practices make organizations better as AI applications helps the HR Team to analyze, predict and diagnose for better decisions. According to a report published by Grand View Research in February 2020, the human resource management market is anticipated to reach $38.17 billion by 2027, registering a CAGR of 11.7 % from 2020 to 2027.
Delhi based startup, ReferHire, has created a peer-to-peer (P2P) networking platform to bring together organisations and those seeking newer career opportunities. Jobseekers have to identify the companies they are interested in and then ReferHire introduces them to peers in those organizations. These peers help job seekers in placing their application internally in the organisation and assist during the recruitment process.
Culturro, Gurugram-based startup has developed an Artificial Intelligence-based NLP bot platform Agnya which helps companies to build the right workplace experience and identify the drivers. It recommends actionable insights for HR heads and also influences behaviour modification in individuals to create the desired workplace experience. Post action, it constantly monitors the progress.
Bengaluru-based Equiv.in launched AI tool which aims to solve talent assessment and hiring while keeping diversity in mind. Equiv.in is exclusive for women, differently-abled individuals, members of the LGBTQ community and army veterans where the jobseeker can sign up with AI Equiv tool. Some of its clients include Indeed, ThoughtWorks, Infosys, Societe Generale, Microsoft and Blackrock.
Similarly, 19th Mile has developed Analytics-driven automated sales coaching system that provides personalized, data-driven coaching to sales representative. The app tracks individuals’ daily sales activities using data from its inbuilt mobile CRM or from the organization’s CRM and uses it to intelligently coach users towards meeting their specific sales targets.
On the other hand, HireSure.ai uses blockchain technology to store employment-related records. Its predictive tools use AI to offer insights related to employee compensation and offer acceptance behaviour, which helps companies increase their offer-to-join ratio. This brings down hiring costs by up to 50 %.
Hiring is a challenging process in any organization and if not addressed efficiently they end up losing good candidates. There is also rapid evolution in business dynamics and therefore several startups are using new age technologies to fill up these gaps.
Insurance, through Crowdfunding
With the emergence of Uber and AirBnB, ‘Sharing Economy’ has proven to be beneficial on a real-time basis across multiple industries, including transportation, real estate and hospitality.
Even in the Insurance sector, numerous InsureTech start-ups are enabling P2P or crowd-based models that leverage crowdfunding. It allows for more people to be insured by aiding underserved markets. Collective purchasing yields preferential pricing to those subscribed to peer-based insurance programs.
Acknowledging this innovative approach, insurance, financial services and e-commerce sites around the world have begun to offer crowdfunding approaches to covering expenses. For instance, Love Upgrading is a crowd-funded insurance service offered on WeChat, China’s voice and text messaging app. Clients on the platform can pay an initial premium of US16 for one year of insurance with USD 8,000 of coverage. By sharing the link on WeChat and invite friends, the insurance amount can be raised upto USD 15,000.
Similarly, China’s second-biggest e-commerce player JD has launched a Kickstarter-like crowdfunding platform, Coufenzi, which allows participants to invest in a movie of their choice, with deposits as low as ~USD 20. These deposits are then bundled into the company’s wealth management and insurance products that pay a fixed interest rate.
On the other hand, Friendsurance follows similar method to offer cheaper insurance to customers using an innovative peer-to-peer method. Customers can connect online and create their own insurance pool. Small claims are paid out of this pool, with bigger claims covered by traditional insurance.
To leverage the power of crowdfunding, number of insurance companies are partnering with crowdfunding platforms like Kickstarter, Indiegogo, Wishberry to raise funds. On the other hand, some insurers like TIAACREF are hosting campaigns on a dedicated social network called the Communities, on which members can discuss their financial health, exchange ideas and host campaigns.
In today’s age of technology-enabled collaboration, crowdfunding has a great potential to make inroads in insurance focussing on under-served population. Given the ever-growing proportion of non- or under-insured individuals, crowdfunding could be a lucrative way of addressing mass market needs, especially individual disability benefits, retirements and pensions, as well as group plans.
The Ship Robots
The astounding progression of robotic technologies is playing a key role in the future of all industries. According to International Federation of Robotics (IFR), from 2020 to 2022 almost 2 million new units of industrial robots are expected to be installed in factories around the world. Like many different industries throughout the world, robots are impacting the maritime industry as well.
Take for example, SeaRobotics which has developed a Hull cleaning robot that helps save fuel and improves the efficiency of a ship. Their Hull BUG is a small autonomous vehicle which attaches itself to the underside of ships, using a negative pressure device that creates a vortex between the BUG and the hull. Sensors provide obstacle avoidance, path cleaning and navigational capabilities. A fluorometer lets the robot detect biofilm and then it uses rotary brushes or water-jets to scrub the fouling film off.
In another collaboration, the U.S. Maritime Administration (MARAD), has partnered with SEA-KIT to create robotic oil-cleanup vessels
Another solution by SeaDrone, can perform underwater Inspections in lieu of Dry Docking (UWILD). The solution is designed in a way that provides an end-to-end hull inspection solution, inspecting a vessel in 1 hour and creating a certified report that can be quickly shared with the stakeholders.
An alternative use case for robots in the maritime industry is strengthening of anti-piracy measures. ReconRobotics has developed a small, dumbbell-shaped robot that can infiltrate the main deck of a boat for stealth inspections. Magnetic wheels allow it to crawl up the side of a ship onto the deck and manoeuvre around. Cameras enable the operators to see what’s happening in real-time, even during the night, with the help of infrared sensors. The company has recently been awarded a contract by U.S. Navy to develop the Recon Scout XT micro-robot for them.
Promare, a U.K. ocean-research nonprofit, in partnership with IBM will unveil their new, fully autonomous ship - Mayflower on Sept. 16th, across the Atlantic Ocean. This autonomous ship will follow the same route on which the original Mayflower travelled 400 years ago.
The Mayflower Autonomous Ship (MAS) is chiefly propelled by solar power, with a diesel generator on board as backup. IBM will power an onboard “AI Captain” with the ship leveraging edge computing for its AI and navigational smarts. All the data processing must be available on the ship because a vessel in the middle of the ocean can’t rely on satellites or cloud connectivity.
As COVID-19 shifts global structures and accelerates innovation, we can easily visualise how robotic technology could help ships continue operating through future pandemics.
Credits : Akhil Handa
Negotiating with AI
Negotiation is a fundamental business skill—one that is inextricably linked with human emotion and psychology as much as economic calculus. Many companies negotiate countless contracts a year, ranging from facilities rentals, technology licenses, sales, employment or strategic partnerships. One of the biggest challenges, companies face in negotiating contracts is that they span such a wide variety of topics. Even the best-trained negotiators may struggle when parsing through a contract that is outside of their purview.
Artificial intelligence (AI) is capable of performing many tasks that enhance human labour and thinking — so it only stands to reason that it can provide an advantage in the negotiation process as well. There are several levels on which this is happening.
As salespeople or customer service reps interact with customers electronically, they may be able to take advantage of real-time AI recommendations to help guide the engagement or transaction. Rather than monitor singular conversations and interject recommendations on a case-by-case basis, the AI-based negotiation system digests lots of conversational data across lots of sales reps to try to understand where there are coaching opportunities, new training opportunities, value prop improvement opportunities, and product improvement opportunities.
AI can also be applied against transaction or customer relationship management (CRM) data, to sift through responses and engagements to determine where and how companies may be missing opportunities. Also, there are chatbots that can be trained to bargain with customers.
Estonian startup Pactum, which provides an AI-based commercial negotiation tool, was engaged by Walmart to automate negotiations with part of its global supplier network. Pactum's AI-based negotiation tool starts the process by interviewing the customer, recording all the required information surrounding the negotiation, and determining the value for each possible tradeoff in the contract for the customer. Pactum's team then builds the negotiation flows.
Project Debater is the first AI system that can debate humans on complex topics. Project Debater digests massive texts, constructs a well-structured speech on a given topic, delivers it with clarity and purpose, and rebuts its opponent. It can analyze a proposition and automatically highlight the best arguments for and against it, factoring in both logical and emotional impact. Eventually IBM predicts, Project Debater will help people reason by providing compelling, evidence-based arguments and limiting the influence of emotion, bias, or ambiguity.
Perhaps one day, robot lawyers will go forth to negotiate on our behalf. But, in the meantime, A.I. can be used today to improve humans’ negotiation tactics.
Credits : Akhil Handa
Micro-services
In the current dynamic universe, companies are finding ad-hoc approach of running continuous upgrades to large monolithic platforms increasingly tedious and inefficient. Progressive organizations can no longer count on the rigid systems that require weeks of rework to support a new business process. Enter Micro-services! It is a way of breaking large software projects into loosely coupled modules, which communicate with each other through simple APIs.
In recent years, adoption of micro-services architecture is becoming a proven success strategy in the software development industry. According to the report by Red Hat, organizations are using micro-services to re-architect their existing applications; as much as the technology being used for brand new applications.
Micro-services offer numerous benefits for application architects and development teams. These include flexibility around implementation technology, scalability and cloud readiness. These benefits align well with the growing demand of a new system that can adapt to the demands of digital business in highly competitive ecosystems. For instance, early adopters like Airbnb, Disney, Dropbox, GE, Goldman Sachs and Twitter have seen development lead times cut by as much as 75 percent, thanks to the adoption of micro-services.
This trend is increasingly being adopted by Bigtechs as well. For example, Microsoft has opened up its Service Fabric platform which is a distributed systems platform to package, deploy and manage scalable and reliable micro-services. Similarly, IBM, Google and Lyft have teamed up to form Istio, an open technology that provides a way for developers to connect, manage and secure networks of different micro-services, regardless of platform, source or vendor. Apart from this, California based Nginx which supports the operation of around 450 million global websites including those of Netflix, Instagram and Pinterest, has set up shop in Australia to support companies embracing micro-services.
Recognizing the need to deliver value to customers faster, many banks are seizing the opportunity to implement micro-services architecture. By implementing such innovative architecture, Ubank created Australia's first home loan application chatbot, innovating and improving customer experience. Similarly, UK based digital bank Monzo is also using cloud and micro-services architecture to develop back end structure.
Micro-services can deliver better agility and scalability advantages than any other archetype. Several vendors are developing frameworks and platforms that simplify adoption of the micro-services architecture. However, we believe it will take some time for micro-services to evolve into complete and robust mainstream platform
Credits : Akhil Handa
AI in Entertainment
With the emergence of various innovative technologies, filmmakers are effectively saving time and money by automating their film creation process to a large extent. Filmmakers are utilizing AI in various stages of filmmaking, right from pre-production, production to the post-production stage.
Cinelytic, Los Angeles based startup, has developed AI software for filmmakers to predict the probability of a movie's success based on the casting of actors/actresses. If the filmmaker is unsure of which actor to cast for a role, he can enter their names into the program and see which actor might
Belgium based ScriptBook, has developed an AI cloud-based software Script2Screen to analyse the script and predict box office success or failure. The user can upload their screenplay on the platform which generates an AI-based assessment indicating the commercial and critical success of a project, along with insights on the storyline, target demographics, market positioning, distribution parameters etc.
Vault ML, an Israeli startup, launched an artificial intelligence platform 4CAST. It uses over 40 years of box office data, 4 lac plus movie scripts and numerous other film data to predict opening weekend box office sales. Its predictions are right 75 % of the time and thus it helps filmmakers in their business risk management.
On the other hand, 20th Century Fox has launched the AI/ML program Merlin to help review trailers before they are released. The AI program optimises the marketing and distribution efforts in order to generate wider publicity for the specific movie or web series. It predicts and recommends appealing clips and flags them as the parts of the trailer which the audience will enjoy the most.
Similarly, Microsoft has developed an AI speech translation engine Azure for dubbing Hindi movies into different languages. On this platform, Bollywood movies are dubbed with the help of AI in different languages.
Looking at the fact that there is a plethora of data available in the film ecosystem, many companies are coming up with innovative solutions where these softwares read the historical data about movie performances over the years, then cross-references it with the current information and thus helps in writing scripts, simplifying the production process, casting actors, composing music, editing movies, plan marketing and distribution and calculate the return of investment.
Credits : Akhil Handa
The pandemic & cybersecurity
There is no doubt that the COVID-19 pandemic has caused an outbreak of new and unanticipated business moments. As digital spreads its roots deeper, it also increases the risk and impact of cyberattacks. The World Economic Forum’s COVID-19 Risks Outlook reported that 50% of enterprises were concerned about increased cyberattacks due to a shift in work patterns alone.
A TCS report states that, cybercriminals are using the heightened digital footprint and traffic to track vulnerabilities, or to siphon off money. They are launching Covid-19-themed attacks in the form of phishing emails with malicious attachments that drop malware to disrupt systems or steal data and credentials.
Attackers are creating temporary websites or taking over vulnerable ones to host malicious code. They lure people to these sites and then drop malicious code on their digital devices. Fake websites have also been soliciting donations for daily wage earners through email links. Some Covid-19 patient count-status apps and links are laden with viruses and identity theft malware. Remote working tools such as videoconferencing systems have been hacked for vulnerabilities; recent examples on Zoom are alarming.
In such a scenario, the first step in the right direction for Organisations would be to advise their staff and customers to be more vigilant and cautious especially when opening links, emails or documents related to the subject COVID-19.
Next, organizations should ensure their detection and ing capabilities are functional while keeping an eye on the impact of having many remote workers. There are some interesting solutions available in the market. For eg. KnowBe4 delivers on-demand internet security awareness training to small and midsized enterprises focussing on threats like social engineering, spear-phishing and ransomware.
Cofense provides organizations with the ability to improve their employees’ resilience towards spear phishing, malware and drive-by attacks and further facilitate employee-sourced detection of such attacks.
In India, cybersecurity start-ups like Cloudsek offers real-time information to prevent and monitor cyber threats through its SaaS platform. Another start-up Cyware’s cyber fusion solutions empowers organisations to foster information sharing with their employees mitigating cybersecurity risks.
The pandemic presents an opportunity for full-blown innovation, a dramatic shift in perspective and the adoption of safe and resilient operating processes. The intensity and emphasis an organisation brings to its cybersecurity strategy will determine its long term growth.
Credits : Akhil Handa
