Keynotes

Transforming Tech & Leadership

Keynotes Topics

1. “Beyond the Algorithm: Rethinking Responsibility in the Age of AI”

Focus: Ethics, leadership, human oversight

Why ethical foresight must evolve faster than technical foresight – and how we can shape intelligent systems without losing human values.

2. “Garbage In, Catastrophe Out: Why Data Quality Is Your Strategic Superpower”

Focus: Data quality, business strategy, risk.

In an AI-driven world, flawed inputs lead to flawed futures. This keynote shows how data governance becomes a matter of survival.

3. “Human + Machine: Designing Intelligence That Matters”

Focus: Hybrid intelligence, collaboration, future of work
Intelligence isn’t either/or. It’s both. A talk about augmented decision-making, symbiotic systems, and the future of human-machine synergy.

4. “Demystifying AI: What Leaders Really Need to Know”

Focus: Executive clarity, buzzword busting, strategy
AI isn’t magic. It’s math, data – and a lot of human decisions. This keynote equips decision-makers with clear frameworks instead of myths.

5. “The AI Ethics Dilemma: Can We Automate Accountability?”

Focus: Moral responsibility, governance, real-world impact
As algorithms shape our lives, who owns the consequences? This session explores the line between optimization and obligation.

6. “From Data to Direction: Building Cultures of Evidence-Based Leadership”

Focus: Data culture, decision-making, change leadership
Data is only powerful when it moves minds. How to embed evidence into leadership, strategy, and organizational DNA.

7. “AI as Game Changer – or Blame Shifter?”

Focus: Accountability, hype vs. reality, transformation
Innovation is not a scapegoat. This keynote unpacks how to lead AI transformation without falling into the automation trap.

8. “Diversity by Design: Inclusive Data for Smarter AI”

Focus: Bias, representation, DEI in AI
Biased data builds biased futures. This keynote explores how inclusive perspectives aren’t a nice-to-have – but a tech imperative.

9. “Data-Driven or Data-Drenched? Finding Clarity in Complexity”

Focus: Information overload, critical thinking, decision psychology
More data doesn’t mean more wisdom. A keynote on cutting through noise, navigating uncertainty, and trusting what matters.

10. “Ethical AI Is No Accident: How to Lead with Intent”

Focus: Responsible innovation, corporate leadership, impact
Ethical AI requires more than policies. It needs courageous leadership. A call to action for those shaping tomorrow’s systems today.

Speaker Deck:
Özlem Doger-Herter

Deutsch:

Özlem Doger-Herter ist Gründerin von ASK-A-WOMAN.COM, Ambassador der Women in Data Science @ Stanford University und Vorstandsmitglied der German Data Science Society. Als IT Woman of the Year 2023 und Autorin im Springer Gabler Verlag spricht sie über die Chancen und Herausforderungen datenbasierter Entscheidungen, über Künstliche Intelligenz zwischen Verantwortung und Wirkung – und über die Kraft weiblicher Perspektiven im digitalen Zeitalter.

English:

Özlem Doger-Herter is the founder of ASK-A-WOMAN.COM, Ambassador for Women in Data Science @ Stanford University, and board member of the German Data Science Society. Named IT Woman of the Year 2023 and author at Springer Gabler Verlag, she speaks about the opportunities and challenges of data-driven decisions, artificial intelligence between responsibility and impact, and the power of female perspectives in the digital age. Weitere Thementracks / Keynotes