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&...
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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&...
Send us a text We strip away the jargon and show how to use AI as an assist that lifts productivity, trust, and measurable outcomes. From data readiness to culture, governance to first use cases, we focus on steps that turn hype into results. Clear definition of AI and human‑in‑the‑loopWhere AI adds value across knowledge workCulture over tech as the main blockerData readiness and training data basicsGovernance to reduce shadow AI risksLeaders modelling tools and setting objectivesSelecting f...
ReThink Productivity Podcast
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&...
