Deloitte 2017 TMT Predictions: Machine Learning and Autonomous Braking Expected to Expand, Helping to Save Lives and Transform Society

"Machine learning is fascinating as it will revolutionize how we conduct simple tasks like translating content, but it also has major security and health consequences that can improve societies around the world," said Paul Sallomi, vice chairman and global TMT industry leader, Deloitte LLP and U.S. technology sector leader. "For example, mobile machine learning is a strong entry point to improve responses to disaster relief, help save lives with autonomous vehicles, and even turn the tide against the growing wave of cyberattacks." "Our predictions for 2017 showcase the enormous influence that machine learning and the Internet of Things are having on the current technology marketplace," said Sandy Shirai, principal, Deloitte Consulting LLP and U.S. technology, media and telecommunications leader. "With many technologies coming into their own as their power and speed increases and the cost of delivering them goes down, we'll continue to see these platforms grow exponentially and expand their role across industries, creating a whole new value proposition and opportunities." Another innovation with the power to transform the world is autonomous braking.