AI does not create value by producing better dashboards -> it creates value by improving decisions.

In this session, Samantha reframes how organizations should think about AI by shifting the focus from reporting and automation to decision intelligence. Drawing on machine learning fundamentals and real business use cases, she shows how AI can reduce uncertainty, surface trade-offs, and protect revenue even when data is incomplete, messy, or imperfect.

We’ll explore why waiting for “perfect data” is often a strategic mistake, how looking backward and forward simultaneously improves resilience during change, and where many AI initiatives quietly fail to influence action. This talk bridges the gap between technical capability and executive decision-making, helping leaders understand where AI actually moves the needle.

This session is designed for organizations that want measurable outcomes, not innovation theater.

Audience: Executives, business leaders, product owners, AI decision-makers

Level: Strategic / Business-focused

Format: 45–60 min keynote or executive session

Takeaway: A practical framework for using AI to drive better decisions and ROI