Leadership Meets Technology - “No Nonsense” AI Transformation as a Driver
summary
The talk explains how German companies can drive a practical, no-nonsense data & AI transformation by aligning technology, organization and culture. It distinguishes three paradigms—classic large-cohort coordination, innovation that augments individual capabilities, and a data & AI paradigm that uses simulation and situational awareness for data-driven decision making—and outlines concrete leadership actions, metrics and examples for using data and AI strategically to strengthen capabilities and adapt business strategy.
AI-written summary · about
chapters (9)
- 0:00Leadership and AI transformation
- 1:30AI paradigm shift
- 4:37Human-machine trust
- 8:08Why AI projects fail
- 10:10Org development paradigms
- 12:59AI success factors
- 15:03AI transformation example
- 17:54AI not IT
- 19:01Summary & Q&A
related talks
19mAI-Powered and End-to-End — Levers for Successful Business Transformation
20mWhen AI Reconfigures Organizations
19mScaling AI: From Experimentation to Transformation
22mLeadership, AI & the Future of Innovation (Fireside Chat)
26mFireside chat: Challenges with AI implementation in organizations
47mEngineering Leadership in the Age of AI
34mLead Like a Bot, Think Like a Human: Navigating Leadership in the Age of AI
22mThe AI Adoption Gap – How We Accelerate AI Use in Enterprises
