banking and wall street
Artificial Intelligence will Transform Finance, Banking and Wall Street
You probably didn't know this but today, April 10th, 2019 banking execs are being grilled by Congress. As capitalism is blooming in 2019, where FANG stocks alone have gained $600 Billion since December, 2018 (5 months). The Banks are doing well too. It's timely then to mention that a report by IHS Markit predicts the global business value of artificial intelligence in finance will be $300 billion by 2030. Whether it's detecting fraud or helping automate processes, there's no denying AI has become more commercially viable in banking.
- Government (0.46)
- Law Enforcement & Public Safety > Fraud (0.43)
Artificial Intelligence Is Changing Banking and Wall Street. Here's What to Expect in 2019.
New technologies have enabled tremendous evolution in the finance industry, especially over the past decade. Thanks to machine learning and artificial intelligence (AI), investors and consumers are getting access to more innovative tools, new types of financial products and a new potential for growth. So, what kind of impact is AI having on banking and Wall Street, and how might the resulting impact on entrepreneurs evolve in 2019? Some of the best AI developments have been reserved for private banks, professional investors, venture capital firms and other major organizations. But 2019 and beyond will likely bring the trend of more accessibility for consumers, too.
How AI Is Shaking Up Banking and Wall Street
ONE THEORY HAS ARISEN in the decade since the subprime mortgage crisis: Machines may be better than humans at giving out home loans. A new Fannie Mae survey of mortgage lenders found that 40% of mortgage banks have deployed A.I.--using it to automate the document-heavy application process, detect fraud, and predict a borrower's likelihood of default. San Francisco–based Blend, for one, provides its online mortgage-application software to 114 lenders, including lending giant Wells Fargo, shaving at least a week off the approval process. Could it have prevented the mortgage meltdown? Maybe not entirely, but it might have lessened the severity as machines flagged warning signs sooner.
- North America > United States > New York > New York County > New York City (0.40)
- North America > United States > California > San Francisco County > San Francisco (0.25)