AI Integration--A Better Approach

As vendors and internal IT developers recognize the importance of using collaborative design to create complementary technologies, they will produce more targeted, useful solutions. Consider the use of AI as a piece of a more integrated process with machine learning and robotics. Too often, firms have sought to automate their way out of productivity and labor problems. In the 1980s, for example, General Motors spent more than $50 billion on robotics in an effort to catch up with more efficient Japanese producers. At the end of the decade, GM remained the high-cost producer because it failed to upgrade its workforce and change its work practices in ways needed to make the new technologies pay off.