"AI in enterprise"

For GenAI decisioning systems to deliver sustained return on investment (ROI), they must be effective, trustworthy and fully auditable.

Most companies have poured their energy into picking the right AI model. This is a reasonable question. But it is the wrong one to obsess ov...

Context is what makes agentic solutions perform better, think better, take actions and repeat actions—and do so in a uniform way.

For the first time, organizations can transform knowledge itself into an operational capability.

Built to bring the productivity gains of Claude Cowork to non-coders, these AI assistants have lots of promise but require thoughtful deploy...

"Most companies use AI. At Capital One, we build it," said Milind Naphade, SVP of AI Foundations at Capital One. Discover how Naphade is lea...

The pace of enterprise AI adoption has outrun the governance that should sit beneath it.

Artificial intelligence is creating a subtle but important shift in enterprise technology and services markets.

Technology should serve the business, not the other way around. Ripping out a working supply chain system just to run an AI prompt is bad en...

The audit cannot wait until after the AI generates code that touches a general ledger.

To stay competitive, organizations need to be open to reinvention that takes full advantage of AI's potential.

The problem is rarely about building the model itself, but when organizations try to weave AI into day-to-day business operations.