What if most of your AI insights are pointing you in the wrong direction?

In this episode of Data Wars, we sit down with Mark Stouse, CEO of Proof Causal AI, to unpack why traditional predictive and correlational AI falls short in today’s volatile business environment — and why causal AI is emerging as the real decision-making engine for executives.

Mark brings a rare perspective, having served as CEO, CFO, CRO, and CMO, and explains how causal inference helps leaders answer the questions that actually matter:

1. What actions truly drive outcomes?

2. Where is risk hiding in plain sight?

3. Why are 50%+ of go-to-market investments ineffective?

We dive into:

1. The difference between predictive AI vs causal AI

2. Why CFOs and CMOs often talk past each other on “forecasting”

3. How causal AI acts like a Business GPS, constantly recalibrating decisions

4. The role of FASB & MASB compliance in AI-driven financial accountability

5. Building trust in data using explainable models and synthetic data

6. Why humility, timing, and risk-adjusted thinking define great leadership

If you’re a business leader, data professional, AI practitioner, or investor, this conversation will fundamentally change how you think about AI, forecasting, and decision-making.

📘 Bonus: Mark also shares insights from his upcoming book “Business GPS”, exploring how causal AI is shaping the future of enterprise strategy.

🎧 Watch/Listen Now:

▶️ YouTube: https://youtu.be/hCeDke-8xVY

🎵 Spotify: https://open.spotify.com/episode/67fjZiSQYpvZbZBhm2Rjwu?si=OcIYNblwSZ6IZq9_IXbrXA

🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/causal-ai-explained-why-correlation-fails-risk-wins/id1782784746?i=1000741540417