Artificial Intelligence has made an impact on the global financial services ecosystem and has reshaped the building blocks of success. The finance sector has been the pioneer to understand the importance of AI and gainfully use it to enhance numerous capabilities, improving recommendations, customer experiences, and efficiencies through automation. From handling risk management to credits & trading decisions, AI has accelerated the growth of leading financial verticals. The demand for to an extent that an artificial intelligence course is high in demand in the current fintech market. A recent Power Ahead Series webinar on "Trends in AI for Financial Services" shares insights on the latest AI trends and how the Finance industry is at the forefront of scaling the adoption of AI.

Of the seemingly inexhaustible uses of artificial intelligence (AI) in the financial sector, its applications around managing credit risk and optimizing payment services are among the most promising. The proliferation of "smart agents" that handle these tasks is a glimpse of more innovation to come, as AI proves its worth to financial institutions (FIs) in the great reopening. That FIs and enterprises are pouring millions into AI development is not surprising, and where they've been focusing that development shines a light on where AI can do the most good. The April 2020 Unlocking AI Playbook: Credit Risk And Payments edition, done in collaboration with Brighterion, notes that "… banks appear to be applying AI with greater specificity than in the past, suggesting that strong use cases have emerged. Our research shows that 92.9 percent of AI-using FIs are applying it to payment services, and 71.4 percent are doing so in credit underwriting. The latter finding is a marked shift from our 2018 study, in which just 27.3 percent of FIs reported using AI in credit underwriting."

You may have read previously on this blog that Brighterion collaborated with PYMNTS.com to analyze how AI and ML are being used by financial institutions (FIs) across the U.S. We surveyed 200 financial executives from banks and credit unions with assets ranging from $1 billion to over $100 billion to get a feel for the industry as a whole. In a series of reports, we've presented analysis of the 12,000 collected data points. The top four use cases for learning systems were supporting banking services (79.1 percent), enhancing payments services (53.7 percent), customer life cycle management (46.2 percent) and credit underwriting (42.5). Banks also reported using machine learning for compliance and regulation, preventing internal fraud, merchant services, collections and supplier onboarding. These findings also revealed a gap: financial institutions aren't accessing true AI with these tools.

You may have read previously on this blog that Brighterion collaborated with PYMNTS.com to analyze how AI and ML are being used by financial institutions (FIs) across the U.S. We surveyed 200 financial executives from banks and credit unions with assets ranging from $1 billion to over $100 billion to get a feel for the industry as a whole. In a series of reports, we've presented analysis of the 12,000 collected data points. The top four use cases for learning systems were supporting banking services (79.1 percent), enhancing payments services (53.7 percent), customer life cycle management (46.2 percent) and credit underwriting (42.5). Banks also reported using machine learning for compliance and regulation, preventing internal fraud, merchant services, collections and supplier onboarding. These findings also revealed a gap: financial institutions aren't accessing true AI with these tools.

India's largest lender State Bank of India (SBI) has formed a joint venture'SBI Payment Services Private Limited' in partnership with Hitachi Payments Services, a subsidiary of Japan's Hitachi, for the establishment of card acceptance and future-ready digital payments platform in India, according to a joint statement on Monday. Hitachi Payments will pick a 26% equity stake in SBI Payment Services, while the rest will be held by SBI. As part of the partnership, Hitachi – which manages more than 55,000 ATMs and 0.85 million PoS devices across the country – will contribute to the development and augmentation of digital payments service in the country by creating an online platform. SBI and Hitachi will now seek regulatory approvals for the joint venture. The two companies will integrate each other's strengths such as Hitachi's digital technologies like artificial intelligence and big data analytics, and SBI's large customer base, branch network as well as brand trust.

A Hong Kong artificial intelligence lab backed by e-commerce giant Alibaba Group Holding and SenseTime, the world's most valuable AI start-up, has named seven companies that will receive funding under its accelerator programme. The Hong Kong AI and Data Laboratory announced in a ceremony on Thursday that it will provide US$100,000 in seed funding to each of the selected start-ups, who will also be given office space, access to AI resources from Alibaba and SenseTime, and a range of cloud computing services from Alibaba Cloud. "These start-ups not only have innovative technologies and business ideas, but they also offer valuable solutions for different industries and scenarios," Jeff Zhang, the chief technology officer of Alibaba, said at the ceremony. Zhang said it was important to work on the application of AI technologies in different industries. The lab was established in May by the Alibaba Hong Kong Entrepreneurs Fund and SenseTime, which became the city's first unicorn – a start-up valued at more than US$1 billion – in July last year.

If I wanted to show my distaste for the direction the US is going by boycotting American PC hardware, software and services, could it be done? You could certainly eliminate a lot of American products, but you might be giving up features without getting any ethical benefits. For example, more than a billion people already manage without a lot of American technology because they live in China or Russia. While I share your distaste for the Trump regime, Xi Jinping and Vladimir Putin are not exactly choirboys. And while Trump is scapegoating immigrants, more than half of America's top technology companies were co-founded by immigrants or the children of immigrants.

– I wish you all a very happy New Year 2017. Payments especially Digital-Payments look really easy; which is why innovation is so hard. In last few years we have seen tsunami kind of disruption in payments services, which led eCommerce, wallet services, Digital-Payments, and remittances to just explode. Artificial intelligence with its subsets like Machine Learning, Deep Learning and Artificial Neural Networks made this industry almost to an explosion point. Artificial Intelligence and any discussion around on how this has gotten to so much deeper in Fintech and what benefits it has provided; unfortunately beside Digital-Payments discussion rest of the points will remain out of scope for this post and we will discuss about AI and its merger with FinTech in other posts in later year.

The Second Payments Services Directive (PSD2) is a wide-ranging piece of European legislation that will transform the payments industry. Alternatively referred to as the'Open Banking' initiative, PSD2 promises to increase consumer choice in the payments sector. It will force banks, who have traditionally held a monopoly over the provision of payments services, to allow new, third party providers to'build on top of' their existing payments infrastructure and offer their own services. The directive, incoming in January, is of seismic importance to both banks and payments providers. Banks are sensing the need to move quickly so as not to simply become'utilities' similar to the water or telephone company, with only a small stable of products to offer.

Thank you, Mark [Carney], for that kind introduction, and thank you to the Bank of England for inviting me to this wonderful event. This is a moment to celebrate 20 years of independence during which the Bank of England has been a stabilizing force for the U.K. economy, inspiring others in the world of central banking--not least because of your guidance, Mark. This is also a moment to learn from our experiences, build on the progress made so far, and look into the future--to the next 20 years--as our journey continues. This morning, I came up Fleet Street, which always feels like a journey through history. In the Middle Ages, that street was an important center of commerce, much of which has now moved online. By the 19th century, the street was home to ticker machines and reporters racing each other to make the evening papers.