Beyond the Hype: Realities of AI in Business
summary
AI is not plug-and-play: a state‑of‑the‑art NLP model works for one customer but fails to scale when data sits in silos, so businesses must fix four pillars—data strategy, data infrastructure, processing power and cross‑functional org change—before production. Recommended steps: run an assessment, get stakeholder buy‑in, build a priority matrix, create an agile AI testbed to experiment, and expect infrastructure work to take roughly 3–6 months to start and up to two years to complete.
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chapters (10)
- 0:00Introduction
- 1:09AI hype reality
- 3:57AI not plug-and-play
- 5:24AI readiness pillars
- 8:13Data governance essential
- 10:00AI maturity road map
- 13:32AI test bed
- 14:37Change management
- 15:23Sentient enterprise vision
- 16:24Q&A
