From Data Silos to Smart Systems: The AI Integration Playbook
summary
Claims the problem is data disconnection not scarcity and offers a field‑tested roadmap: sort what you already have, align decision‑makers, and build MVPs that prove value in 30 days. Names tools and tactics—Playwright Claude ChatGPT Vertex AI—and gives a surprising metric: 95% of generative AI pilots don't profit. Shows concrete builds (retail inventory, crop yield, chip‑shortage forecasting), a prompt‑to‑API workflow, proof‑with‑samples then handoff to dev, and cases that actually work.
AI-written summary · about
chapters (10)
- 0:00Welcome
- 3:40AI integration journey
- 8:19AI’s impact on jobs
- 14:08Relational databases vs AI
- 17:03Predictive analytics with keys
- 24:34Building MVP with AI
- 32:00AI adoption in teams
- 36:15AI consultants rise and fall
- 38:02Call to action for AI leaders
- 40:29Q&A
related talks
37mThe AI Factor: The Blueprint for Intelligent Deployment
56mData, AI, Hype and Fear - Recipe for Disaster?
39mBig Data Information Architecture for AI
26mA reality check on AI’s impact on business transformation
54mArtificial Intelligence seen from the software development lifecycle perspective
06mThe Next Transformation?
57mOne Team’s Journey to Using AI Without the Hype
10mOperationalizing AI for business impact
