How NVIDIA scales expertise with ChatGPT Work
Its twice-weekly GTC planning workflow saves about 16 hours per week across the 12-week planning cycle.
- An AI-operations workflow turns roughly 25–40 external AI updates into 5–8 actionable signals each week.
- One working prototype took about 3–5 days, compared with an estimated 2–3 weeks using separate tools and manual development.
- Manual GTC analysis previously consumed about 40% of go-to-market strategist Will Daney’s time.
- Teams supporting events in San Jose, Taipei, Europe, and Washington, DC received and customized the GTC workflows.
NVIDIA knowledge workers can reuse automated processes across teams and regions, reducing manual information assembly and freeing more time for customers and analysis.
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