Artificial Intelligence

Contextualizing data is the most important thing you can do to make AI successful.

Novo Nordisk bets on agentic AI to get life-changing science to patients faster.

AI tools need a way to understand what data represents and how different data sources relate to one another. They need context.

Countering the dangers of shadow AI requires a three-pronged approach: Understand, educate, and collaborate.

Operational context is key to remediating tech debt. That context layer is also necessary to successfully scale AI.

Something qualitatively different becomes possible when you combine a real-time operational model of enterprise processes with forecasting and simulation capabilities.

Operational context is no longer a luxury; it is a fundamental requirement for enterprise AI.

Getting to context isn’t easy. You need data, business knowledge, and intelligence.

What every CIO should know about operational context, orchestration, and delivering measurable ROI on AI initiatives.

Leaders must understand their systems and processes — and then break them down into modular, adaptable ‘blocks’ — if they hope to transform their business with AI.

“Contextualizing data is the most important thing you can do to make AI successful.”

Process intelligence delivers unprecedented visibility and a proven roadmap to process optimization.

The most promising technology of our time is at risk of being underwhelming. How can you make AI work? Enter process intelligence.

McKinsey’s point of view: An intelligent orchestration layer provides measurable immediate and compounding value.

CIOs and IT leaders report that process intelligence is key to enterprise modernization. AI accelerates transformation or migration, and a digital twin provides full visibility.

What is PI, how does it work, and why is it the enablement layer for enterprise AI initiatives?

The need for enterprise modernization is urgent. It’s time to embrace a multi-pronged approach.

Learn how you can leverage processes to make modernization efforts cutting-edge, predictable, and effective.

AI can be a force multiplier. Start by removing friction. Align teams. Turn data into decisions. Winning comes down to better intelligence.

To optimize your Enterprise AI future, you need access to your data—unrestricted by system-specific boundaries or vendor lock-in.

AI success doesn’t come from new pilots and PoCs. To operate at scale, you need the right foundation.

Achieving AI-driven operations requires strategic direction, and those insights come from the freedom to own and deploy our data without restriction.