alternative data

Rajesh Mirjankar, Managing Director, CEO and Co-Founder, Kiya.ai

Lending is an expensive business for banks, particularly for institutions that have a large number of smaller loans – Robin Amlôt of IBS Intelligence speaks to Kiya.ai’s Managing Director and CEO, Rajesh Mirjankar about the opportunity present for banks and for businesses, and the potential impact of broadening financial inclusion. Can the use of tech solutions make lending viable for banks and if it can, what are the wider implications for business and for the economy at large?

In this episode, Alex Izydorczyk, Founder and CEO at Cybersyn, shares his vision of how integrated data can help to power better decision and policy making, the need for better branding of alternative data, and how Cybersyn is focused on building out DaaS (data as a service) across all industries.

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How you approach data will define what’s possible for your organization. Data engineers, data scientists, application developers, and a host of other data professionals who depend on the Snowflake Data Cloud continue to thrive thanks to a decade of technology breakthroughs. But that journey is only the beginning.

Catch up on the latest announcements from Snowflake Summit, including advancements with generative AI and LLMs, flexible programmability, application development, and much more.

Watch now here. 

Lex interviews Michele Tucci, the Managing Director in North and Latin America and Chief Strategy Officer of CredoLab, the largest developer of bank-grade digital credit risk scorecards based on mobile device data. Together, they touch on digital banking, digital credit, as well as the intersection between financial services, telecoms, and technology more.  

MENTIONED IN THE CONVERSATION

Credolab's website: https://bit.ly/2XBhDgk

Michele's Linkedin profile: https://bit.ly/3KfeHwU

Topics: Fintech, payments, alternative data, AI, artificial intelligence, behavioural modelling, credit risk, fraud, GDPR

Companies: Credolab, Capital One, Mastercard, Intesa Sanpaolo Bank, Trans Union

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TIMESTAMPS

1’32”: Michele’s foundational experiences & the core proponent to his entrepreneurship

2’43”: The behavioural influences between credit cards in America vs Europe & the data landscape in the early 2000s

8’51”: The role of Mastercard in Michele’s journey & how issuers thought about the role of payment rails on the customer journey

16’19”: How data spoke to the human nuances around financial behaviour

20’48”: The evolution of how different players created financial networks in different geographies

24’09”: Credolab - the core problem it solves for & where it is today

32’50”: How Credolab uses pattern-recognition to develop user personas to inevitably inform risk profiles

36’53”: The development of extracting insights from digital footprints of users & how this results in sophisticated AI algorithms that banks compete for

39’54”: Channels to use to connect with Michele & learn more about Credolab

Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD.

Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella

Want to discuss? Stop by our Discord and reach out here with questions.

Carol Hamilton, SVP Global Solutions at Provenir

Provenir, a provider of AI-powered risk decisioning software, recently released the findings of a survey that showed only 18% of FinTechs and financial services institutions believe their credit risk models are accurate at least 75% of the time. The study also highlighted a growing appetite for AI predictive analytics and machine learning data integration together with the use of alternative data to improve credit risk decisioning. Robin Amlôt of IBS Intelligence speaks to Carol Hamilton, SVP Global Solutions at Provenir.

Sylvain Forté, Co-Founder & CEO, SESAMm

What if you could analyse, in real-time, billions of articles and messages from the web using natural language processing techniques to identify key trends and investment opportunities in both private and public companies, as well as using AI and machine learning to build investment strategies? Well, you can. Sylvain Forté, Co-Founder and CEO of SESAMm explains to Robin Amlôt of IBS Intelligence how it can be done.

Adam Lieberman, Head of Artificial Intelligence and Machine Learning, Finastra

It is essential that financial services providers who are serious about financial inclusion prioritise fairness when it comes to decision-making algorithms. At the same time, they need to follow best practice to eliminate bias. Data science teams need to work closely with business/subject matter experts in what must be an ongoing process. Robin Amlôt of IBS Intelligence discusses the issues with Adam Lieberman, Head of AI/ML for Finastra.

Jeff Bezos has repeatedly succeeded in branching out into adjacent sectors. The online bookseller Amazon was transformed into a media store, and from that into a marketplace for everything imaginable and later even into a supplier of cloud hosting services. Amazon accomplished that by constantly building on what it already had in place. 

The Financial Information business at SIX is in a similar position. Sam Sundera, the Head Future Business in the respective business unit tells host Hannah Wise where SIX, too, has opportunities to make inroads into adjacent sectors, and it, too, can build on its achievements – with  ESG data or historical corporate actions data in the cloud, for example.

Gary Kotovets, Chief Data & Analytics Officer at Dun & Bradstreet explains how the company uses its data on 400 million businesses to help clients around the world deliver a competitive edge. He discusses the depth of insight provided via Dun & Bradstreet’s Data Cloud and how the firm is using alternative data to drive increased value for global businesses to support growth.