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
Kurzprofil
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
1. Ethics & Responsibility in AI
Beyond the Algorithm: Rethinking Responsibility in the Age of AI
In einer Welt, in der Algorithmen Entscheidungen treffen, stellt sich die Frage nach der Verantwortung. Dieser Vortrag beleuchtet, wie ethische Prinzipien in der KI-Entwicklung verankert werden können.
The AI Ethics Dilemma: Can We Automate Accountability?
Automatisierung bringt Effizienz, aber auch ethische Herausforderungen. Wie können wir sicherstellen, dass KI-Systeme verantwortungsvoll handeln?
Ethical AI Is No Accident: How to Lead with Intent
Ethik in der KI erfordert mehr als nur Richtlinien – sie verlangt nach Mut, Haltung und Führung.
2. Strategic Data Leadership
From Data to Direction: Building Cultures of Evidence-Based Leadership
Daten sind das neue Öl – aber nur, wenn sie richtig genutzt werden. Dieser Vortrag zeigt, wie Führungskräfte datenbasierte Entscheidungen treffen können.
Garbage In, Catastrophe Out: Why Data Quality Is Your Strategic Superpower
Schlechte Daten führen zu schlechten Entscheidungen. Warum Datenqualität zur strategischen Kernkompetenz wird.
Demystifying AI: What Leaders Really Need to Know
Jenseits des Hypes: Ein Realitäts-Check für Entscheider:innen, die KI strategisch einsetzen wollen.
3. Inclusive AI & Female Leadership
Diversity by Design: Inclusive Data for Smarter AI
KI-Systeme sind nur so gut wie die Daten, mit denen sie trainiert werden. Diversität ist ein technischer Imperativ.
Female Data Power: Rethinking Innovation through Inclusion
Was passiert, wenn Frauen datengetriebene Räume mitgestalten? Ein Impuls zur Innovationskraft weiblicher Perspektiven.
The Future Is Equal: Women Leading Data-Driven Change
Wie Diversität in Tech & Data echte Transformation ermöglicht.
4. Human + Machine: Intelligence that Matters
Human + Machine: Designing Intelligence That Matters
Die Zusammenarbeit von Mensch und Maschine eröffnet neue Möglichkeiten. Wie wir diese Synergie gestalten.
Data-Driven or Data-Drenched? Finding Clarity in Complexity
In der Datenflut den Überblick behalten: Klarheit, Fokus und Kontext als neue Währung.
AI as Game Changer – or Blame Shifter?
Innovation braucht Verantwortung: Warum KI nicht zum Sündenbock werden darf.
Referenzen & Auszeichnungen
IT Woman of the Year 2023 (Global Digital Women)
Ambassador @ Stanford University – Women in Data Science
Board Member – German Data Science Society
Advisory Board Member – Data & Analytics Institute
TEDx Speaker – „Digital Responsibility“ (TEDx Bonn)
Springer Gabler Author – Marketing Analytics, Female Role Models in AI & ML
Coaching & Support – EXIST Women (BMWK Programm)
Associates
