Microsoft launches new initiative to empower AI startups in India, BFSI News, ET BFSI

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New Delhi, Tech giant Microsoft on Wednesday launched a new programme Microsoft AI Innovate for nurturing and scaling startups that are leveraging Artificial Intelligence (AI). The 10-week initiative will support startups in India leveraging AI technologies, helping them scale operations, drive innovation, and build industry expertise.

Both B2B and B2C startups from various industries, including financial services, healthcare, education, agriculture, space, manufacturing and logistics, retail, and e-commerce can participate in the quarterly cohorts of this programme.

“AI is increasingly transitioning from artificial intelligence into augmented intelligence that ensures efficient, faster, more targeted experiences for everybody.

“AI has a tremendous potential to empower people and institutions to do better, understand customers more deeply, share information more quickly and enable scientific breakthroughs,” Microsoft India President Anant Maheshwari said at a virtual event.

He added that India has the third-largest AI startup ecosystem in the world.

“AI adoption can add more than USD 90 billion to the Indian economy by 2035…to maximise AI’s potential and mitigate its risks, we need to develop AI in a way that is responsible and fosters trust.

“As creators, users and advocates of technology, it is important for us to make careful choices so that technology ultimately translates into benefits and opportunities for all,” Maheshwari said.
Trust is non-negotiable and everyone is accountable for creating a responsible, trusted and ethical tech ecosystem, he noted.

Through its latest initiative, Microsoft will focus on providing tech and business opportunities to startups for improving their solutions, transforming organisations and building responsibly to make AI accessible to everyone, Maheshwari said.

The programme will also enable startups to reach out to newer customers and geographies with Microsoft’s sales and partner networks.

The selected startups in each of the cohorts will have access to industry deep-dive sessions and AI masterclasses by industry experts, mentoring by unicorn founders, skilling and certification opportunities, among other benefits.

Catering to technical and business audiences, the programme will bring together leading-edge tech know-how, global GTM (go to market) partnerships as well as engineering and research experts from Microsoft.

Qualified seed to series B startups will be provided with technical enablement benefits, including Azure benefits (in addition to free cloud credits) and product engineering support among other benefits. They will also receive support with business and sales acceleration needs such as marketplace onboarding.
Startups with enterprise-ready solutions will be provided opportunities to build their solutions alongside a dedicated team of professionals.

They will get go-to-market support as well as co-selling benefits with Microsoft’s sales team and partner ecosystem. The startups will also get access to top partner and customer events to strengthen their networking reach.



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About 72% of financial transactions of PSBs via digital channels, BFSI News, ET BFSI

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Nearly 72 per cent of financial transactions of public sector banks (PSBs) are now done through digital channels, with customers active on digital channels having doubled from 3.4 crore in 2019-20 to 7.6 crore in 2020-21.

The Reserve Bank of India (RBI) has informed that it is not considering a separate licensing category for digital banks at present, Minister of State for Finance Bhagwat K Karad said in a written reply to the Rajya Sabha.

PSBs adopting tech

The PSBs have already started investing heavily in technology. Artificial Intelligence, blockchain technology, and robotic process automation are the key innovations that are likely to impact the banking scenario in India in a transformative way.

The field of artificial intelligence has produced several cognitive technologies. Individual technologies are getting better at performing specific tasks that only humans could do. It is these technologies that PSBs may focus their attention on. Analytics can improve customer understanding and personalisation. PSBs are in the process of aggressively adopting these technologies that enhance bank and customer engagement.

Digital payments

Digital payments recorded a growth of 30.19 per cent during the year ended March 2021, reflecting the adoption and deepening of cashless transactions in the country, RBI data showed.

As per the newly constituted Digital Payments Index (RBI-DPI), the index rose to 270.59 at the end of March 2021, up from 207.84 a year ago.

“The RBI-DPI index has demonstrated significant growth in the index representing the rapid adoption and deepening of digital payments across the country in recent years,” the RBI said.

The Reserve Bank had earlier announced construction of a composite Reserve Bank of India – Digital Payments Index (RBI-DPI) with March 2018 as base to capture the extent of digitisation of payments across the country.

The RBI-DPI comprises five broad parameters that enable the measurement of deepening and penetration of digital payments in the country over different time periods.

These parameters are — Payment Enablers (weight 25 per cent); Payment Infrastructure – Demand-side factors (10 per cent); Payment Infrastructure – Supply-side factors (15 per cent); Payment Performance (45 per cent); and Consumer Centricity (5 per cent).



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Deutsche Bank to hire over 3,000 techies this year

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Deutsche Bank will hire over 3,000 techies this year to strengthen its technology centres in India, Russia, Romania and the US.

The bank would hire over 1,000 people in India including 300 engineering graduates of various disciplines from 30 different campuses of NITs and IITs. These freshers are expected to come on board in July.

Also read: Deutsche Bank to lend ₹600 crore to NCDC

The bank has recently streamlined its global technology development landscape (which contained over 20 big, small and fragmented tech talent groups in over 60 countries) to ramp up focus through key tech locations such as Pune, Bengaluru, Moscow, St. Petersburg, Bucharest and Cary.

The company said it was consolidating teams where focused development of technology was going to come from, in the future.

As part of Deutsche Bank’s €13-billion digital transformation journey between 2019 and 2022, the bank is currently in the process of replacing its legacy IT systems with modern processes.

Dilipkumar Khandelwal, Global Chief Information Officer for Corporate Functions and Global Head of Technology Centres at Deutsche Bank told BusinessLine, “Retiring duplicated and outdated applications is estimated to deliver over €150 million of annual cost savings globally for Deutsche Bank by the end of 2022.”’

“Modernisation will mean we increasingly develop standard applications that can be used across the bank, not just in one business. We are also working to harmonise our data into a ‘single source of truth’ across the bank,” he said.

Deutsche Bank is also replacing its global pricing engine for emerging market currencies in London with one in Singapore, drawn by surging trading in Asia and the increasing importance of the Chinese yuan.

“Setting up a new and more powerful global pricing engine in the city-state will help the bank save vital fractions of seconds from the time it takes to execute orders in the region,” Khandelwal added.

The bank was looking at creating new business models leveraging artificial intelligence, data analytics, and more, with tech partner, Google.

“For example, new lending products will support “pay-per-use” models as an alternative to purchasing assets outright (asset-as-a-service),” he elaborated.

According to Khandelwal, digital transformation has enabled banks to leapfrog technology progress by investing and integrating modern solutions such as cloud and automation. This infrastructure also supported intelligent use of the data available within the bank to create better insights and decision-making.

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Through digital strategy, SBI to explore partnership with Agritechs to push farm credit

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State Bank of India (SBI) explores opportunities to enter into partnerships with select Agritechs to handle high volume and low-ticket loans in the Agribusiness optimally through a digital strategy.

India’s largest bank sees Agritech (agricultural technology) as a channel to bring in a new segment of customers (which the bank could not access earlier) – a channel to improve decision making, grow top-line and improve efficiency.

 

“The partnership will also serve as an opportunity to cut operational costs, credit costs, improve profitability and user experience as digital transformation will no longer be optional but a necessity for structural change in the digital ecosystem,” as per the bank’s annual report.

The bank wants to enter into partnerships with Agritechs with a differentiated business model that will help facilitate the transformation of the Agri supply chain to improve farm production opportunities for the farmers.

This will be done using digital tools such as Artificial Intelligence (AI), Blockchain, IoT (Internet of Things) and Machine Learning-powered capabilities.

During FY21, SBI disbursed ₹1,98,268 crore against the target of ₹1,74,468 crore.

 

“Growth in agriculture and allied activities is the only silver-lining in such a gloomy year.

“Agri Gross Value Added expanded by 3.6 per cent in FY2021 due to sufficient access to inputs, adequate and well-spread south-west and northeast monsoon rains, sufficient reservoir levels and improved soil moisture,” the report said.

According to data on the sectoral deployment of bank credit for March 2021, credit growth to Agri and Allied activities accelerated to 12.3 per cent in March 2021 (4.2 per cent a year ago), the highest since April 2017, it added.

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China fund managers embrace robots as competition intensifies, BFSI News, ET BFSI

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By Samuel Shen and Andrew Galbraith

SHANGHAI: Chinese fund managers, grappling with a rapidly-growing list of publicly-traded securities and mountains of data, are rapidly embracing machine learning and other types of artificial intelligence (AI) to boost efficiency and bolster returns.

From using computers for analyzing news and research reports and crunching numbers to getting robots to pick stocks, the move comes as foreign players are expanding their footprint in China’s $3.4-trillion mutual fund industry.

While AI has already been widely used in China’s mammoth e-commerce and manufacturing sectors, it is now being adopted by asset managers as Beijing aims to digitize the economy further and close the technology gap with the western world.

Last week, Zheshang Fund Management Co launched a fund that uses robots to predict the market outlook and select stocks. It came after China Asset Management Co (ChinaAMC) announced its partnership with Toronto-based AI company Boosted.ai.

“I think it’s a must. Every major player is actively looking for AI solutions. The competition is really tough,” said Bill Chen, chief data officer of ChinaAMC, which managed $246 billion worth of assets at the end of last year.

Global fund managers such as BlackRock Inc have been using computer artificial intelligence (AI) to analyze fundamentals, market sentiment and macroeconomic policies in the last couple of years to get an investment edge.

“Companies like BlackRock have very powerful, advanced technology. They are leading us in AI for sure, by at least several years,” said Chen. “But I think we understand the Chinese market better.”

Fund managers’ increased usage of AI in the world’s second-largest economy comes as Beijing is stepping up digitalization drive, a trend accelerated by the COVID-19 pandemic and as it increasingly clashes with the West over technology policy.

China’s stock market listing reforms have boosted the number of public companies, leading to a data explosion that also fuels demand for AI, said Zhou Yu, chief product officer of ABC Fintech, a Beijing-based AI company.

ABC Fintech counts asset managers such as China Universal Asset Management and Hwabao WP Fund Management Co as clients, and serves as their data factory, Yu said.

REGULATORY CHALLENGES
Growing investments into AI are also being fueled by early signs of success.

Zheshang Fund’s first AI-powered fund, Zheshang Intelligent Industry Preferred Hybrid Fund has gained 68.34% since its launch in Sept 2019, according to its Q1 report, compared with a 21.64% gain in its benchmark, which is a combination of stock and bond indexes.

The fund has built an “AI Beehive strategy model” in which robots team up like humans to buy stocks. More than 400 robots compete for the right to make decisions as their models constantly evolve through trial and error.

Peter Shepard, managing director at MSCI Research, said that instead of providing super-human intelligence, AI provides super-human scale that will open up fresh sources of information that drive new levels of insight and efficiency.

“These new tools on their own can’t predict the future any better than people can, but they are key to unlocking new, alternative and unstructured data sets that will continue to transform the investment process.”

“AI will be an important edge,” said Larry Cao, senior director at CFA Institute, who authored several reports on AI-powered investing. “The hard truth with AI is that the bigger firms can invest a lot more resources.”

Some Chinese industry officials, however, expressed concerns that the use of machine learning algorithms to pick stocks and better returns could run into regulatory challenges.

“From a regulatory perspective, you need to go through a lot of compliance procedures. You need to write reports on your decision making. Some AI-powered models are like black boxes, and unexplainable,” said Yu of ABC Fintech.

“That’s hardly acceptable to regulators.”

As learning algorithms are increasingly used in trading rooms, local fund managers are working with regulators to try to design new standards for the industry.

“One of the main barriers we face … is that we are so highly regulated,” ChinaAMC’s Chen said. “Every decision you make, you have to be responsible for that decision, and you should be able to explain a decision when you lose money.”



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How banks are strengthening their technology prowess to provide hyper-personalised banking services

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In this new age, customisation isn’t just another box to tick but the very key to engagement with the end user.

By Neeraj Sinha

In this new age, customisation isn’t just another box to tick but the very key to engagement with the end user. Like all other services, with this new age of personalisation and enhancement in platforms, banking might fast become a commoditised service. 

Welcome to the world of hyper-connectivity and hyper-personalization. Welcome to the World of Smart Banking! A world where data is emerging as the new oil, and attention as the new gold. The new-age banking has been at the crossroads of these extremes. Banking – traditionally considered a privilege and being accessible to a few – has, in time, expanded its realm of dominance and should now be a privilege of all and accessible online. 

Riding on surging ambitions, customer behaviour and access to technology, banking has become a service by escaping the confines of locations & physical infrastructure to evolve as an ‘always on’ solution available at one’s mobile phone screen. At the same time, technology empowering businesses and services to be accessible online, has accelerated adoption of digital financial transactions, investments and payments. This has further led to the humble bank account becoming the port of sustained call – thereby offering multifaceted usage to serve diverse financial objectives both in the physical and digital realms. 

Considering all this can be traced back to the previous decade, is a testament that the user behaviour is fairly nascent and demands handholding up the steep learning curve. In doing so, customisation or personalisation serves as key leveller. At the onset, personalisation or customisation means offering relevant options at the fingertips of the users. 

 Imagine a five-star hotel’s restaurant – where the frequent visitors are greeted with their preferred salutation, served their favourite starters or given recommendations based on what they have been ordering during their previous visits, etc. This culture of personalisation has always been associated with premium services, which banking ought to be in an otherwise ‘one size fits all’ world. 

In doing so, technology has emerged as a great enabler. In the past few years, customer-facing industries such as banking have strengthened their technology prowess to provide hyper-personalised services – regarded as many as uber customisation. 

Banks, owing to their importance, have already got access to real-time behavioural customer data from online and offline purchases, website sessions, engagements, and interactions via kiosks, email, and mobile applications. Over the years, banks have invested heavily in newer technologies such as Artificial Intelligence (AI) to improve customer services. Today’s AI and machine learning capabilities automatically create self-learning models – efficiently and in real-time – so that customers get the simplest possible contextual experience with each interaction. By understanding the individual needs of consumers, banks can create experiences that are more compelling and interesting.

Shifting the mind-set from product-push to personalized notifications supported needs can improve customer satisfaction and drastically increase engagement. But the same is also a tightrope walk when it comes to asking for attention vs. infringing on privacy. The experience of hyper personalisation is usually designed to improve process efficiency by predicting, suggesting and constantly learning from user habits and preferences. At the same time, it means not pushing a barrage of information to further confuse or impair decision making at the user’s end. Sample this, if one is a credit card customer, the relevant options around the present solution (pay the dues, redeem rewards, block or report the card, request limit enhancement, etc.) has to be at the top of one’s home screen. At the same time, other products can too be added but in an order that suits the behaviour or trend of either the customer or the segment comprising of a collection of similar users. In doing so, the other layer is security and privacy – which in a data led world are essential to cultivate trust and respect in an otherwise bits and bytes world of technology led interface.  

AI helps you make sense of all that data, as it helps predict what customers might want and then use that information for inventory, product development, and many more things. In a world that is emerging as ever-connected and solutions interacting with one another – thereby defining a comprehensive consumer personality, hyper-personalisation has fast become the foundation stones of super app revolution – a characteristic usually associated with a device or platform till now. This would not only open doors to declutter user experience; but more importantly strengthen a personalised bond between customers and bank to tide over the faceless layer of technology and data. All this, without infringing upon the privacy of the customers. 

(Neeraj Sinha is the Head of Consumer & Retail Banking at SBM Bank (India). The views expressed by the author are personal)

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SoftBank’s internet business to invest $4.7 bn in tech over five years

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SoftBank’s internet arm Z Holdings is targeting sales of 2 trillion yen and operating income of 225 billion yen by 2023

SoftBank’s internet subsidiary Z Holdings on Monday outlined plans to invest 500 billion yen ($4.7 billion) in technology over five years with a focus on artificial intelligence.

The announcement follows the completion of the merger of its internet business Yahoo Japan with chat app operator Line creating a $30-billion internet heavyweight.

Also read: SoftBank-backed robotics firm Berkshire Grey to go public via $2.7 billion SPAC deal

Z Holdings is targeting sales of 2 trillion yen and operating income of 225 billion yen by 2023, the firm said in a statement.

Published on


March 01, 2021

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Your Money: Tech trends that will shape fintech sector in 2021

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The year 2021 promises to be “the year of the value chain” for the fintech sector.

By Rachit Chawla

The fintech sector is a combination of finance and technology. Since technology keeps evolving at an exponential rate, the fintech sector follows close behind. So far, the claims of technological disruption have been centered on changes at the customer interaction level, i.e., digital account applications, digital user interface, etc. The year 2021 promises to be “the year of the value chain” for the fintech sector.

Let us take a look at some of the trends that will shape the fintech sector in 2021.

Robotic Process Automation (RPA)
The RPA is a process that utilises robots and advanced technology to perform the tasks which were otherwise carried out by humans. In 2021, we will witness more organisations adopting RPA to handle different backend tasks like security checks, customer on-boarding, account maintenance & closing, trial balancing, credit card and mortgage processing, among others. RPA allows fintech organisations to manage mundane yet necessary tasks efficiently, freeing up the human resources for other important tasks like customer service.

Blockchain
Blockchain technology has brought a level of transparency in financial transactions that once was unimaginable. Transactions have become much more secure since blockchain technology came into the picture and this has allowed the customers to trust the fintech companies that have this technology in place. Blockchain technology will play a key role in transforming the banking sector in 2021.

AI and ML
Artificial Intelligence (AI) and Machine Learning (ML) blitzkrieg is unstoppable. According to expert estimates, AI technology will reduce fintech organisations’ operational expenses by 22% by the year 2030.

AI can also play a huge role in getting cybercrime under control by identifying financial frauds and threats. It can also improve customer experience as it can easily record all the interactions between the customers and the organisation and call upon the stored data to offer just the right deals to individual customers.

Traditional banks have remained relatively rigid in their approach and have not molded themselves according to customers’ needs, can influence more people to migrate towards fintech organizations. Fintech companies will improve financial inclusion in the year 2021 by offering banking facilities to the weaker section of the society and by making banking efficient, fast, and convenient.

Biometric security systems
Fintech has made banking easier as people can now perform all their banking-related tasks remotely from any device that has an internet connection. However, this has also created a wealth of opportunities for cybercriminals – who are always looking to exploit a weakness in the system.

This means that the fintech organisations will have to rely more on biometric security systems as they are reliable and foolproof. However, biometrics industry itself is at a transformative stage, and contactless biometric solutions are going to become popular soon.

Technological evolution is a never-ending process that makes our systems and our world a better, much easier place to live. These trends will shape the fintech industry in 2021 and will make it much more efficient, robust, and customer-friendly.

The writer is CEO & founder, Fiwnay FSC

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