AI Enabling Innovation
summary
Generative AI is presented with concrete numbers and deployments: Google cites Gemini and measures like digital watermarking and recitation checks to combat hallucinations and protect IP; SAP reports 3 production scenarios today and 80+ by May, uses 22 LLMs internally, logs 2 million prompts, supports 400,000 customers and 40,000 engineers, and applies AI to support, sales, developer productivity, decision support and continuous process optimization. Regulation (EU AI Act) and risk-based governance are positioned as necessary alongside technical guardrails.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 1:00What is generative AI
- 3:30How do you develop AI responsibly
- 5:26What are the exciting applications of Gen
- 10:10How to use AI responsibly
- 13:21IP protection
- 14:37Market of AI
- 19:52Cultural change
related talks
25mSynergizing AI Innovation
26mAI in Use: Industry Perspectives
30mGenAI Opportunities and Challenges: Where 370 Enterprises Are Focusing Now
13mAI as a Strategic Asset: Building Competitive Advantage
44mAI Empowered Software Testing
53mThe Evolution and Impact of Generative AI: Transforming Creativity and Operations
25mBeyond the Hype: Real-World AI Strategies
23mScaling GenAI Applications and Agentic AI for Business Competitive Differentiation
