AI is Coming, What Now?

on YouTube ↗39m

" summary

Claims that organisations can get a 60% productivity gain come with hard numbers: about 90% unprepared for AI and widespread failed integrations, only two customers show real Co-pilot adoption programs. The talk names transformers, LLMs, Hugging Face and Azure AI Forge, shows an automation that auto-replies “I’m working on it” and raises NPS, recounts a two-week hunt for a bug that a five‑minute UI tweak would have fixed, and a staging MySQL spill that forced a resilient migration. High‑performing teams talk to customers and measure impact.

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" chapters (39)

1. 0:00Welcome
2. 0:43AI history 1990s to today
3. 2:30AI biggest software opportunity
4. 3:55AI adoption challenges
5. 4:37Exponential growth in AI
6. 5:40Hugging Face and LLMs
7. 6:01Supervised vs unsupervised learning
8. 7:26How LLMs work
9. 8:53Tokens and predictive text
10. 9:38Measuring value beyond code
11. 10:44Customers first priority
12. 11:26Company vs IT targets
13. 12:29Talk to customers
14. 13:55Customer meeting insights
15. 14:59Learning from UX interactions
16. 16:42Can AI solve problems alone
17. 17:24Customer pain points case study
18. 18:31Real customer in IT
19. 19:33Willingness to pay for service
20. 20:35AI improves customer experience
21. 21:18How customers find your product
22. 22:43Every interaction is marketing
23. 23:27Turn negatives into opportunities
24. 24:30AI for customer communication
25. 25:35Proactive customer updates
26. 26:16Ticket updates done is not enough
27. 27:05Crisis communication as marketing
28. 28:10Trust through transparency
29. 29:12Sales role in problem solving
30. 30:14AI value in software development
31. 30:57Sales and engineering collaboration
32. 32:02AI agents and problem solving
33. 32:44Customer journey mapping
34. 33:51AI agents and security teams
35. 34:13Customer feedback loops
36. 35:17Solving problems drives value
37. 36:00Rediscovering programming joy
38. 37:23AI impact on creativity
39. 37:45Customer value over code

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