The majority of AI projects fail from a lack of foundational integrity. Clean data and integrated systems are the non-negotiable price of entry for a successful journey.

The path forward is smarter architecture — fewer platforms, governed by the people who know the business best.

They’re called the Performance Elite. And they share a playbook: Fix the process before deploying the model. Prepare the workforce before scaling the agents. Build governance before automating decisions.

By continuously aligning supply, workforce and financial outcomes, organizations can move beyond reactive adjustments and build operations that adapt in real time.

Closing the accountability gap requires a system that can keep pace with the technology it’s meant to oversee.

With AI and automation evolving rapidly, warehouses are undergoing a major shift in how they operate and manage complexity. As intelligent tools become easier to adopt and automation becomes essential, top performers are pushing beyond small efficiency boosts. T

A look at how supply chains can bring together data, planning and execution, with Christine Barnhart, head of industry engagement with Miebach, and Andrew Driscoll, commercial lead-life sciences with OMP.

The lowest-unit-cost era in sourcing is over, because unit cost alone is no longer sufficient to make a good decision.

The sticking point that bedevils just about every new tech implementation is a lack of proper business processes to support the change.

Just 17% of CSCO's said that they're using AI to pursue "transformational" redesigns to workflows, while 83% are focusing on using the technology for smaller changes.