The rise of AI adoption in manufacturing is real, but it's being driven by business outcomes, not technological complexity.

While advances in drug development have accelerated dramatically in recent years, pharmaceutical manufacturing processes have struggled to keep pace – for a number of intertwined reasons. And AI ...

Change management is a decisive factor for either the success or failure of AI initiatives, and its importance cannot be ...

Six Sigma, a quality-control methodology first developed for manufacturing, is now used by business and organizations of all types.