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Machine Learning

Feb. 27, 2018

Pagaya Gets Citi Loan for Fund to Invest in Online Lenders

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

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Jan. 25, 2019

Auto Lenders Slow to Incorporate Machine Learning and AI

Auto lenders are not yet ready to turn credit decisions over to artificial intelligence and machine learning; Mike Kane, Ally Financial...
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Dec. 13, 2017

Artificial Intelligence Helping VC’s Uncover Investments

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.

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Jan. 24, 2017

Risks in Depending on AI and Machine Learning

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

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Dec. 13, 2017

Machine Learning Fintech Simility Raises $17.5mn

Simility, a machine learning adaptive fraud prevention product, raised $17.5mn from PayPal, The Valley Fund and Trinity Ventures; the company helps to prevent fraud and abuse in real time using machine learning and big data analytics; Rahul Pangam, Co-Founder and CEO of Simility, tells Crowdfund Insider, “Digital disruption in the financial and commerce sectors has resulted in the need for a fraud and risk management solution that goes beyond legacy.”; the company plans to build out data science teams and continue expanding globally. Source.

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May. 6, 2019

Fintech Needs To Stop Tinkering At The Edges Of Big Data

Douglas Merrill, the CEO of ZestFinance, writes in Forbes that more data for making an underwriting decision is usually better;...
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Feb. 20, 2019

Announcements & Releases for February 20, 2019

A buyer’s guide to data aggregation Why Freelance Workers Should Be The First To Adopt Blockchain The Biggest Threat To...
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Feb. 21, 2018

BlackRock Setting Up an AI Research Lab

BlackRock, the world’s largest investment group, is setting up an AI research lab; the move is part of a wider industry trend by asset managers to use AI and machine learning for investments; the lab is meant to help their current teams and clients better understand how best to utilize the new technologies; “Big data offers a world of possibilities for generating alpha [market beating returns] but traditional techniques are not good enough to analyse the huge volumes of information involved,” said David Wright, head of product strategy in Europe for BlackRock’s scientific active equity division, to the FT. Source.

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Jan. 8, 2018

How Lenders Can Adapt to the Changing Cyber Threats

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.

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Dec. 10, 2018

Upstart Riding Automation and Bank Partnerships to Profitability

Upstart has been quietly doing something that many others have found difficult: building a profitable online consumer lending business. I...
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