Research firm, Gartner, expects the global AI economy to increase from about $1.2 trillion last year to about $3.9 Trillion by 2022, while McKinsey sees it delivering global economic activity of around $13 trillion by 2030. And of course, this transformation is fueled by the powerful Machine Learning (ML) tools and techniques such as Deep Reinforcement Learning (DRL), Generative Adversarial Networks (GAN), Gradient-boosted-tree models (GBM), etc.
Along with commercial business and technology, healthcare is a field that is thought to be most suitable to be profoundly impacted by AI tools and techniques. Mandatory practices such as Electronic Medical Records (EMR) have already primed healthcare for application of Big Data tools for advanced analytics. AI and ML hold significant promise to inject further value and enhance the degree of automation and the quality of intelligent decision-making in patient care and public health systems to transform the lives of billions around the world.