AI Adoption Instead of AI Debate – How Companies Successfully Use AI
summary
Practical guidance on deploying AI in enterprises: concrete steps for adopting generative AI and related OpenAI tools to move beyond debate to implementation, focusing on use-case selection, integration into business processes, and go-to-market considerations for successful AI adoption.
AI-written summary · about
chapters (20)
- 0:00Introduction
- 1:04AI shaping next decades
- 2:26ChatGPT’s role in adoption
- 3:50Germany vs world AI use
- 4:52Employee-driven AI adoption
- 5:57OpenAI’s enterprise products
- 6:18Codex for dev work
- 7:41AI driving innovation
- 8:25GDPR with ChatGPT Enterprise
- 9:08From chatbot to AI assistant
- 10:12ChatGPT Enterprise as AI layer
- 11:35AI adoption by industry
- 12:18OpenAI’s growth in Germany
- 13:41Practical AI in SMEs
- 15:07AI automating patent research
- 16:08AI in chemical R&D
- 17:11AI-driven food innovation
- 18:14OpenAI’s internal AI use
- 19:56Collaborating with OpenAI
- 20:20AI for creativity
related talks
16mAI at Work: How to Successfully Deploy AI for Employees and Companies
05mPragmatic AI Adopton is Hard!
46mLeaders' Guide to Easily Adopting Generative AI
13mAI as a Strategic Asset: Building Competitive Advantage
48mAI: How to Get Started as a Company
48mPractical Strategies for Successful AI Adoption in your Organisation
26mAI in Use: Industry Perspectives
24mAI Implementation: Navigating the Enterprise Lifecycle for Technical Leaders