The Art of Identifying Value Streams with GenAI
summary
Renaud Chevalier explains using generative AI (ChatGPT/GPTs) to speed up identifying Value Streams in Business Architecture (TOGAF/SAFe context). The approach shares a ready GPT, specific prompts and a sectoral repository of macro Value Stream examples to align strategy, accelerate delivery and support change management, with a demo, online reference examples and lessons learned.
AI-written summary · about
chapters (14)
- 0:00Introduction
- 1:04Alfred and his role
- 3:15What is a Value Stream?
- 8:12Value Stream identification challenges
- 10:38Z Alfred initiative
- 12:04Alfred demo on Dexcom
- 22:42Detailed OVS analysis
- 29:20Developing Value Streams
- 34:15Organization options and trains
- 37:51Alfred results and deliverables
- 41:45Lessons learned
- 47:28Prompting as a key skill
- 50:41Data reliability and limits
- 52:05Conclusion and call to action
related talks
20mGenerative Value Streams: When Code is not a Constraint
29mGenerative AI: Path to Value in practice
48mUsing AI in Software Design: How ChatGPT Can Help With Creating a Solution Architecture
22mLearning to Apply Generative AI at Enterprise Level
15mHarnessing the Power of Generative AI for Intelligent Applications
20mThe secret path to practical generative AI in the enterprise
14mGenerative AI models: Practical Business Applications
46mUsing AI in Software Design: How ChatGPT Can Help With Creating a Solution Arch.