The coming decade will see a massive surge in business productivity as companies automate tasks that are important but time consuming for people to do. Examples of such tasks include approving purchase orders, evaluating which customers are at risk of churning, identifying support requests that should be escalated immediately, auditing invoices from suppliers, and forecasting operational trends, such as power consumption.
Part one looks at why this trend is occurring and the role of machine learning in creating the surge. Companies that are not able to accelerate to catch this surge will quickly find themselves outdistanced by their competitors.