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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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What if your enterprise could make the right decision, across every silo, in real time? We sit down with Paul Breitenbach, Founder & CEO r4 Technologies, to unpack how predictive AI goes beyond generative tools and actually drives outcomes: higher revenue, lower costs, and fewer bad events across the board. Paul explains why cross-enterprise management matters now, how it automatically pulls data from legacy systems, and how it sends decisions back without ripping anything out.
We walk through tangible examples that make the strategy real. In supply chain, predictive logistics ensure the right product hits the right shelf at the right time and price. In security operations, microlocation and environmental signals re-route guards on the fly, cutting incidents by 50 percent. And in a powerful “tech for good” case, R4’s Smart Food program identifies surplus food and matches it to SNAP demand, effectively doubling or tripling buying power while reducing waste—turning a national problem into a solvable coordination challenge.
Trust and adoption come from transparency and speed. Paul shows how confidence scores, explainability, and human-in-the-loop controls help leaders move from gut feel to measurable, auditable decisions in days, not quarters. We also explore what’s next: a more intuitive V5 interface, tackling higher-complexity domains like healthcare and energy transition, and why 2025 could be the tipping point where predictive AI becomes the enterprise standard.
If you enjoyed this conversation, subscribe, share it with a colleague wrestling with silos, and leave a review to help others find the show. What cross-enterprise challenge do you want AI to solve next?
More at https://linktr.ee/EvanKirstel
Chapters
1. Setting The Stage: R4’s Mission (00:00:00)
2. Predictive AI Versus Generative AI (00:00:55)
3. Breaking Silos With Cross-Enterprise Management (00:01:49)
4. Supply Chain To Security: Real-World Wins (00:03:12)
5. Smart Food: Turning Waste Into Meals (00:05:33)
6. Making AI Usable For Business Users (00:07:24)
7. Speed To Value And Human In The Loop (00:09:11)
8. Trust, Explainability, And Adoption (00:10:53)
9. Better Workdays: From Grind To Impact (00:12:06)
10. Tackling Technical Debt With An AI Layer (00:14:03)
11. Roadmap: V5, Healthcare, Energy (00:16:24)
12. Closing Thoughts And Where To Watch (00:18:55)
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