NLJUG Modern IT Leadership Summit 2023
summary
Panelists report concrete pilots with Copilot and ChatGPT pilots and alternatives like Codium, plus experiments that require opt-out telemetry experiments and on‑prem or EU data residency; regulated firms keep bans while others accept tooling. Claims of up to 55% productivity surface but are contested—benefit splits repetitive work from deep design. Discussion covers Retrieval‑Augmented Generation with vector DBs, IP and copyright uncertainty, energy cost of training, and the push toward open-source and local models.
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chapters (11)
- 0:00Introduction to AI panel
- 2:04Panelist introductions
- 5:16AI tools in software development
- 9:07Regulated environments and AI
- 13:23Strategic framework for AI adoption
- 20:06Ethics and societal impact of AI
- 27:53Future of AI in software engineering
- 38:29Strategic vs practical AI tracks
- 40:16Legal and licensing concerns
- 46:56Q&A on AI contributions and risks
- 51:49Final advice on AI adoption
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