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.
Nav announced a partnership with Marcus by Goldman Sachs to offer SMB owners lines of credit through machine learning on the platform.
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
Banks use relationship-based services to attract and retain customers in these times of higher interest rates. SunTec Business Solutions President Amit Dua said if these services are correctly deployed, they benefit both the bank and the customer.
A new report from Numis entitled The State of AI in 2017 explains the potential AI and machine learning for wealth managers; as AltFi reports, “AI enables asset managers to deliver to the mass affluent a degree of personalisation and service quality previously reserved for high net worth clients.”; the technology can also help to improve quality, decrease cost and help to make most of the asset management industry into robo advisors. Source.
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If a financial institution looks beyond the hype of AI and tempers its expectations, it can use AI to deliver measurable business results. That’s been the experience of Amount’s director of decision science Garrett Laird.
The Cambridge Centre for Alternative Finance is a leading provider of research and reports on fintech across the globe; their...
BB&T announced last week that they were committing $50mn to fintech; the company plans implement what they are calling intelligent automation; plans include AI & machine learning, robotics processing automation, chatbots and virtual assistance & conversational commerce according to TearSheet; the company also announced they are looking at transforming branches and looking to move as much of their business to the cloud. Source.
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.
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