AI Value Track Podcast - Episode 3

Send us a text We weigh the real trade‑offs of building AI in‑house versus buying and configuring proven tools, and map a practical route from pilot to production without blowing the budget. Clear steps on data, governance, ethics, and IP help you create value you can measure.Build vs buy decisions tied to strategy and IP When generic problems justify off‑the‑shelf tools Niche bottlenecks and owning differentiated capability Real costs of talent, data architecture and compute Governance, scope control and reliability expectations Data quality, sourcing and security by design Measurable pilots, baselines and explainability EBITDA impact, inference costs and ROI discipline Ethics beyond bias, oversight and customer impact Partner contracts, IP protection and reuse limits Scaling blockers across finance, compliance, HR and IT Regulations to watch including EU AI Act and GDPR #theproductivityexperts Register for the 2026 Productivity Forum Find us in the Top 50 Productivity Podcasts Connect to Simon on LinkedIn Follow ReThink on LinkedIn