From Data to Decisions: What Ferrari’s Evolution Teaches Us About Enterprise AI

In the 1990s, Formula 1 success depended as much on human intuition as technology. Ferrari’s engineers relied heavily on manual data collection, driver feedback, and Michael Schumacher’s famous “popometer” to understand what was happening on the track. The challenge was simple: how fast could teams gather, interpret, and act on limited information to optimize performance?

Today, the challenge has fundamentally changed. Modern Formula 1 cars generate millions of data points through hundreds of sensors, creating real-time visibility into every aspect of performance. Advanced analytics and AI can identify patterns, predict outcomes, and recommend actions faster than any human ever could.

As a result, the bottleneck is no longer data collection or analysis.

The critical question has become: How fast can you act on the insights?

This evolution closely mirrors what enterprises are experiencing today. Most organizations have access to more data than ever before and are rapidly adopting AI to generate insights. Yet competitive advantage is increasingly determined not by who has the most data, but by who can operationalize intelligence the fastest—connecting insights directly to decisions, processes, and outcomes.

In this session, we will explore how a connected data foundation enables organizations to move from hindsight to real-time action. We will discuss why AI is only as effective as the information it can access, how enterprises can securely connect data, applications, and processes, and how intelligent automation helps turn AI-generated recommendations into business execution.

Join us to discover how the lessons from Ferrari’s transformation can help modern organizations close the gap between insight and action—and unlock the true value of AI.