What does machine learning mean for the future of work?

Once heavily invested in the AI and machine learning systems that helped run the NASA Space Shuttle, Splice Machine CEO Monte Zweben is trying to overhaul the structure that lies at its very core. Despite 2017 being described as the breakthrough year for machine learning and AI, the process by which computers learn complex skills and functions without human intervention is nothing new. One person who can attest to that is Monte Zweben, CEO of Splice Machine, who in a previous life was the deputy branch chief of NASA Ames Research Center's artificial intelligence (AI) hub. Spending seven years there during the 1980s and 1990s, Zweben and the rest of his team were using machine learning, not only to discover cosmic phenomena through radio telescopes, but also to maintain and plan the famous space shuttle missions. This, Zweben said in conversation with Siliconrepublic.com,