Keynote: Operations and AI with Jen Krieger
summary
Industry moves from six‑month button tweaks and 18‑month model updates to teams that deploy less than one day (DORA labels ~18% elite); GitHub reports thousands of daily deploys and uses a lightweight GitHub bot for repetitive IT queries. Slides are autogenerated with Beautiful Ai as a productivity example. Claims include AI enabling smarter testing, automated code generation and predictive maintenance; caution is required because outputs need fact‑checking. Companies rarely fund upskilling and product managers drown in 60–100 customer documents, so systems thinking is the recommended fix.
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chapters (24)
- 0:00Introduction
- 1:04Meet Jen Krieger
- 2:29Not talking about Copilot
- 3:12Thirty years of tech
- 5:41Agile changed software
- 7:27DevOps and automation rise
- 8:49AI and ML past present
- 11:41Fear of change and AI
- 13:09Human impact of tech change
- 17:45Speed and consequences
- 18:29Systems thinking in tech
- 20:12Product managers' struggles
- 22:18Gap product engineering
- 24:46Customer experience matters
- 26:56When products fail
- 29:24Agile adoption disconnect
- 32:15AI for product managers
- 36:51Decision-making at Spotify
- 38:38Invest in upskilling
- 41:06Becoming a systems thinker
- 43:17Tools for requirements
- 45:02Lean Institute methods
- 46:49Managing change well-being
- 49:17Closing remarks Q&A
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