ReThink Productivity Podcast

AI Value Track Podcast - Episode 3


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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

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