Computer vision is the lynchpin of the current AI/machine learning (ML) renaissance. In 2013, deep learning based vision solutions crossed a historic milestone of achieving human level accuracy. Since then, the pace of algorithm sophistication, training data proliferation and performance has accelerated even faster. The majority of AI/machine learning powered solutions and use cases across… Continue reading What is the Case for Machine Vision in Supply Chain?
AI progress has been uneven in the past 5 decades, with spurts of breakthrough followed by “winter-like” stagnation. Barriers like technology cost, organization capability and ineffective policies held back AI from going mainstream. Yet, this trend shifted starting in 2005 with performance breakthroughs across numerous cognitive applications. Convergent advances across three enablers: computing power, training data,… Continue reading Artificial Intelligence Coming of Age
Last week, I facilitated a cross-functional workshop with The World Economic Forum, and several tech startups (Noodle A.I., Rage Framework, Enterra) to investigate the impact of Artificial Intelligence (AI) on global production and value chain. WEF NY Workshop 1) The very definition of A.I. itself is vague - we had many different definitions of AI,… Continue reading AI + Future of Production with WEF