AI projects are in pilot or development stages, and 90% of respondents agree that improving data quality is critical to AI success.

Industrial AI is moving toward applications, as manufacturers concentrate investment where realized value is greater.

When I speak with plant managers, COOs, or heads of operations today, the conversation usually starts the same way. Production is running at its limits. Teams are stretched thin. And despite decades ...

Narrow AI applications drive real improvements in quality inspection, predictive analytics and knowledge preservation for ...

Spread the loveIn a groundbreaking announcement made on March 21, 2026, Elon Musk unveiled the ‘Terafab’ project, a bold initiative designed to manufacture chips specifically for artificial ...

The AI factory revolution has arrived, but it looks different than the passive analytics of the past decade. The industry is ...

IFS, the leading provider of Industrial AI software, today announced that JVCKENWOOD has selected IFS Cloud as its next-generation ERP (Enterprise Resource Planning) and MES (Manufacturing Execution ...

With AI expected to contribute $1.7 trillion to the overall economy by 2035, the investment required for AI infrastructure is ...

Manufacturing’s future is inextricably linked with robotic advancement. Organizations embracing these transformative ...

Based on vibe code, Atoms eliminates the need to manually set up project scaffolding and configure environments.