By integrating systems that can make sense of data and machines capable of following commands, AI and automation have combined forces to create a powerful business solution. Typically, automation solutions like workflow, document capture, business-rule based decisions and RPA are designed to follow logical commands. But by adding machine learning- where computers have the ability to derive insights and learn without being programmed- with automation software, IBM solutions can anticipate and recommend next steps based on results from past actions, govern how machines act on insights from AI, and display recommendations for knowledge-workers for better outcomes.
Presented by:
Bill Lobig, Vice President Digital Business Automation, IBM