The Fintech industry, with its focus on efficiency and consumer-centricity, is a disruptive force in the traditionally staid and frequently complacent financial services market. In certain areas, the pace of Fintech disruption has been so dramatic it has forced incumbent institutions to scramble to adapt their offerings to meet changing consumer demands. Increasingly, artificial intelligence and machine learning are the key technologies that enable Fintechs to compete aggressively with legacy players. Below are some of the key ways AI and machine learning are powering continued innovation in the Fintech sphere. One issue with many financial products and services is the fact that they are often designed to meet the needs of large population groups but fail to address more individualized needs and desires.

Last month, the pharma company Takeda began recruiting patients for a clinical trial of a promising Covid-19 treatment involving antibodies drawn from the blood of recovered patients. It normally takes several weeks to collect people's information, determine who may be suitable for the trial, and get the paperwork in order. With the coronavirus still spreading, Takeda sped things up using a quick and simple trick: using software to record tasks like opening files, selecting input fields, and cutting and pasting text. Those tasks can then be repeated for each prospective patient. The result: The paperwork got done in days instead of weeks.

T1: What impacts do you see #AI & this tech making for healthcare? T1: What impacts do you see #AI & this tech making for healthcare? T2: Are the fears surrounding #AI overblown? What steps and cautions should we consider? T2: Are the fears surrounding #AI overblown?