IBM has marketed Watson as a multidisciplinary artificial intelligence that can tackle a range of information problems, but has long touted medicine as one of the key areas it will help disrupt.
By Mark Buchanan
The data scientists writing the algorithms that drive giants like Alphabet Inc. (Google) and Facebook Inc. are today’s technology wizards, and companies and governments increasingly use their creations — often in secret and with little oversight — to do everything from hiring and firing employees to identifying likely suspects for police monitoring.
But there’s a dark side — and computer scientists warn that we’ll need a lot more transparency if the big-data revolution is really to work for all of us.
In doing “more with less”, far too many organizations own a potential “suite” (of integrated apps and data) that they don’t really know they have. In other words, these organizations are well-positioned to actualize a bundle of apps and related data in a whole new way, absent acquirement of entirely new suites.
Microsoft has said it wants to "democratize AI" and be the Gutenberg press of the machine learning age. Now it is putting its money where its mouth is and dedicating an (unspecified) chunk of its Microsoft Ventures fund to "AI companies focused on inclusive growth and positive impact on society."