Why do so many enterprise AI implementations struggle to deliver measurable ROI? Tom Bush and Stuart MacDonald sit down with Jon Salisbury, CEO and Chief AI Officer of Nexigen and co-founder of the Enterprise Technology Association, to break down the critical differences between black-box deep learning and transparent, explainable AI. From genetic fuzzy algorithms that guarantee business outcomes to overcoming internal friction and deploying real-time generative AI in smart-city kiosks, Jon shares how to build deterministic, trustworthy AI systems.
Guest: Jon Salisbury, CEO and Chief AI Officer, Nexigen; Co-Founder, Enterprise Technology Association
In this episode:
• The problem with black-box deep learning
• Explainable AI, causal models and data quality
• Overcoming cultural friction and making AI your team's idea
• Smart-city kiosks and real-time generative 3D maps
• Developer memory layers and next-gen RAG
• The true goal of enterprise AI: giving time back
Connect with Jon:
LinkedIn: / jonsalisbury
Nexigen: https://www.nexigen.com
Enterprise Technology Association: https://www.joineta.org
Recorded live at Columbus AI Week (Sept 10–11, 2026), produced by the Enterprise Technology Association with JobsOhio: https://www.joinaiweek.com/columbus
— ABOUT ACTUAL REALITY —
The actual reality of AI in the real world. Hosted by Tom Bush, CEO of Actual Reality Technologies, and Stuart MacDonald, award-winning magician and AI consultant.
🔔 Subscribe: / @actualrealitypodcast
🌐 Website: https://actualreality.show
Tom on LinkedIn: / bushtom
Stuart on LinkedIn: / stuartmacdonaldmagic
📚 Stuart's book, Putting in the Work: https://www.amazon.com/dp/B0HFKV5848?...
Actual Reality Technologies: https://actualreality.tech
As an Amazon Associate, Actual Reality Podcast earns from qualifying purchases. #ActualRealityPodcast #ArtificialIntelligence #SmallBusiness #AIAutomation #Productivity
