A 2015 McKinsey report says today's technology is ready to replace approximately 45% of US jobs across a wide range of industries; federal and state governments have been receiving numerous inquiries about the effects of robot automation on the labor market however little has been done by legislators on the topic; Bill Gates has one suggestion for the economy; he suggests a tax for robot automation; a number of scenarios have come from Gates' robot tax suggestions, including: a company tax for robot automation that would contribute to social programs, designating government funds for salaried workers affected by robots, using taxes to provide a universal income for all citizens and a negative income tax. Source
In an article from American Banker, the pros and cons of AI-based credit scores are outlined; pros include more precise scores through more nuanced evaluations of data and the ability to consider consumers that linear models would reject; the cons are the risk that regulators will consider an AI-based score a "black box" and being able to provide one clear reason for credit denial; perspectives from Elevate, ID Analytics, Experian and FICO on AI credit scoring are presented in the article. Source
Lend Academy provides details on IBM Watson's acquisition of Promontory Financial Group, a firm used to help navigate complex banking regulations; IBM has acquired Promontory to train Watson on Dodd-Frank which includes 22,000 pages of regulation; Promontory has experience from a long list of banking veterans and will help train Watson on financial risk modeling, surveillance, anti-money laundering (AML) and Know Your Customer (KYC); the result will be an artificial intelligence solution that can be implemented for all aspects of compliance, regulation and monitoring; Brian Walter, Watson global industry leader for banking and financial markets at IBM will be speaking at LendIt USA 2017 in a featured keynote discussing how financial firms are using artificial intelligence and how it's expected to evolve. Source
Artificial intelligence is being utilized across all industries with new startups offering innovative market solutions; in January CB Insights released a list of 100 top artificial intelligence startups; Zoox tops the list as the most well-funded company with total funding of $290 million; it is also a fintech unicorn with a valuation of over $1 billion; among venture capitalists, Data Collective has emerged as a top investor partnering with 14 companies from the list for venture capital investment. Source
Artificial intelligence firm Cleo has raised 550,000 British pounds ($626,300) from angel investors; investors included Niklas Zennström, Jason Goodman, Alex Chesterman, Siraj Khaliq, Errol Damelin, Simon Franks, Wendy White and Joe White; Cleo is an AI-powered service working in connection with AI robots like Amazon Alexa to offer consumers personal finance advice; firm plans to use the new capital to further develop its technology and increase its user base of clients which are primarily in the UK. Source
CNBC profiles three companies emerging in the banking industry with solutions built from machine learning technology; Digit has created a solution that integrates with a user's bank account to automate savings based on account balances and spending patterns; Zest Finance is offering credit scoring technology based on AI algorithms using alternative credit data; Adyen is also using machine learning for fraud prevention; overall machine learning solutions are evolving rapidly and speculators believe they will revolutionize the workforce; Goldman Sachs says machine learning and AI will enable $34 billion to $43 billion in annual cost savings and new revenue opportunities for the financial sector by 2025; it's also expected that AI and machine learning will begin to replace jobs that can be easily automated while also creating greater opportunities for software developers and data scientists. Source
Babak Hodjat is managing a hedge fund in San Francisco run completely by artificial intelligence (AI); his firm Sentient Technologies Inc. has been building an AI system for analyzing markets and automating trading for over a decade; performance for the firm is not publicly disclosed; numerous firm's in the wealth management industry are using some form of unbiased automated trading however Sentient is one of few firms that completely uses AI technology for comprehensively managing assets. Source
IBM Watson will be further expanding in financial services by partnering with H&R Block's 70,000 tax professionals at 10,000 locations; Watson has learned 74,000 pages of tax code through its natural language processing capability and will be able to help tax professionals at H&R Block's branches; the new services have been tested at 100 locations and will begin being used in February; overall, IBM plans to market Watson as a business service solution with its capabilities offered to consumers through innovative business partnerships. Source
The running joke is that after Dodd-Frank banks have become compliance companies that happen to make loans. It is funny...
Robots have begun helping to take over menial tasks at banks and now there is talk that a full back office operation is not far away; "I think we're going to see it move from a few narrow functions to across the enterprise," said Alan McIntyre, the industry managing director for banking at Accenture; making these changes will help banks to cut costs and improve efficiency, at least when times get extremely busy; banks won't yet fully remove the human component but the trend is moving in the direction of more automation when running the back office. Source