When we first approached senior executives about the benefits of our work in AI systems more than a decade ago, we were limited by physical constraints to the small group of organizations who happen to own supercomputers that could perform extreme computing tasks. Obstacles in physics and economics at the time still prevented us from achieving our original goal of distributed AI systems across networks and organizations.
About five years ago we experienced the modern equivalent of a sputnik moment when innovations in GPUs combined with earlier breakthroughs in algorithmics to lift off a machine learning revolution that would rapidly expand from a few supercomputers to autos, desktops and mobile devices. This ongoing revolution enabled us to begin discussing AI systems with many life science and healthcare organizations.
Read remainder of this article by Mark Montgomery at Enterprise Viewpoint.