Machine learning and predictive analytics have started to make a real difference in the VC world when it comes to finding investments; VC’s typically traveled a lot and met with thousands of companies to find a few investments; by using machine learning to break down troves of data, like job postings or performance in the App Store, investors can find potential gems without the same laborious effort; VC firms are investing in tools to help them refine searches and comb through thousands of companies quickly; increased computing power and cheaper ways to rent server capacity has really helped VC’s, even the small firms, use these techniques every day. Source.
Artificial intelligence (AI) and machine learning are becoming increasingly relied upon by financial services companies and the credit sector; the algorithms powering these solutions have also advanced the use of AI and machine learning; while these advancements have helped new solutions they have also created new risks; these risks are primarily focused in three phases: input, training and programming; risks can also be higher when using nontraditional data; a report from White and Case titled, "Algorithms and Bias: What Lenders Need to Know" provides details on the evolution of algorithms in artificial intelligence and machine learning and explains important factors to consider for credit providers. Source
Pagaya is an asset manager based in New York; they announced that they have received $75 million in debt financing from Citi; the funds will be used for its Opportunity Fund to invest in loans by online lenders such as Prosper and LendingClub; the company uses machine learning to determine loans worthy of investment. Source
Bias in credit underwriting is an issue some worry will be exacerbated by AI others believe it is the only way forward. At Fintech Nexus USA 2022, approaches were discussed to mitigate concerns.
After a number of high profile breaches in 2017 lenders are looking to better protect themselves against evolving threats; writing a column in Bankless Times Tom Donlea of WhitePages Pro looks at some key things online lenders can do to better protect themselves; lenders can start moving away from using social security numbers as a personal identifier, AI and machine learning will play a bigger role, more lenders will begin to bring fraud fighting in house and blockchain will become more widely adopted. Source.
Cion Digital's new Advisor Lending Platform connects wealth professionals and firms with lenders in a more efficient process than was previously available. They also now offer their product suite to a more significant portion of the financial services and retail sectors.
Editor’s Note: This is a guest post from Marc Stein, CEO at Underwrite.ai and Principal at Artificial Intelligence Capital Management....
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