Artificial intelligence (AI) via predictive analytics is a game-changer. At last week’s Kentucky Derby, an AI platform that had previously predicted the winners of the Oscars and Super Bowl predicted the Kentucky Derby superfecta. The AI platform predicted the first-, second-, third- and fourth-place horses at 540-1 odds, netting the technology’s inventor Louis Rosenberg $10,842 on a $20 bet. How will this translate to the federal government?
On May 3, The White House issued a very interesting document: “Preparing for the Future of Artificial Intelligence.” Recognizing that AI is a technology area full of both promises and potential perils, the White House Office of Science and Technology Policy announced that it will co-host four public workshops topics in AI to spur public dialogue on AI and machine learning.
In addition, a new National Science and Technology Council (NSTC) Subcommittee on Machine Learning and Artificial Intelligence was established to monitor state-of-the-art advances and technology milestones in AI and machine learning within the federal government.
Information technology research firm Gartner describes AI as a “technology that appears to emulate human performance typically by learning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialogs with people, enhancing human cognitive performance or replacing people on execution of non-routine tasks.”
Emergent AI and its corresponding components of machine learning, augmented reality and cognitive computing technologies are no longer things of science fiction.