Role of AI in the future of Fintech

06 Dec 2021
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Role of AI in the future of Fintech

Role of AI in the future of Fintech

06 Dec 2021
About the speaker
  • Matthew Marolda
    Matthew Marolda
    Chief Innovation Officer at Acrisure
    Matthew Marolda is a member of the executive leadership team at Acrisure, where he serves as Chief Innovation Officer. Prior to joining Acrisure, Matt was a leader at Tulco Holdings, an alternative investment platform using AI to unlock significant value in its portfolio companies. In addition to Tulco, he currently serves as a board member, advisor, or investor in Soundhouse LLC, Ultranauts, Life Vault, Harvard Data Science Review, and the USA for United Nations High Commission for Refugees (UNHCR). Previously, Matt was President of WarnerMedia’s Applied Analytics division, which uses data and analytics to drive strategic, marketing, and creative decisions across its brands and operating divisions, including Warner Bros., HBO, CNN, TNT/tbs, and Turner Sports. He joined WarnerMedia via its acquisition of Legendary Entertainment’s Applied Analytics division. Matt founded Applied Analytics and served as Legendary’s Chief Analytics Officer. Matt was part of the executive team that led the sale of Legendary Entertainment to Dalian Wanda in 2016 for $3.5 billion. Prior to Legendary, Matt founded StratBridge LLC, which had two software solutions, both of which he sold as stand-alone businesses: a “moneyball” player analysis platform used by many organizations in the NFL, NBA, English Premiere League, and Major League Soccer; and dynamic pricing and revenue analysis platform used by many professional sports teams. Matt earned his MBA at the Tuck School at Dartmouth where he won the Adams Award for Excellence in Entrepreneurship. He graduated from Bowdoin College with Honors, earning majors in economics and mathematics and a minor in art history.

Key takeaways

Artificial intelligence (AI) has altered the corporate landscape, particularly in the financial sector. In the loan sector, technology can constantly learn to deliver better service.

The easiest way to eliminate this risk is to estimate each client's risk. Financial organisations could use AI to forecast an individual's creditworthiness and reduce risks.

Human error is one of the most common sources of data breaches around the world. AI can tackle complicated problems with a high degree of consistency and speed, reducing many of the frictions that financial organisations confront.