Overview Robotics has become one of the most transformative fields in recent times, shaping work, manufacturing, healthcare, ...

Most AI projects fail because companies automate noise instead of value. The minority that succeed treat AI as disciplined ...

His core work centers on building intelligent control architectures designed to make industrial facilities run with better ...

Most AI projects fail because companies automate noise instead of value. The five percent that succeed treat AI as disciplined automation, not magic.

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Data-driven decision-making replaces guesswork across all organizational levels, giving plant operators immediate feedback, supervisors shift-based insights, and managers strategic visibility into ...

Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply, but are still ...

In operations, AI can predict supply chain disruptions. The human supply chain leader needs to assess relationships, regulatory risks, and local context before deciding how to react. This teamwork is ...

Mohan Gurupackiam of Steward Partners discusses how wealth management firms are rethinking their technology investments.

In this exclusive interview, she shares her insights into the future of banking, emerging cyber risks, and the innovations ...