Writing, video, and a published book from Dr. Eva-Marie Muller-Stuler — for boards, institutions, and senior leaders who need more than headlines on AI.
How Tech Leaders Can Develop and Deploy Ethical AI
A practical guide for data, product, and tech leaders driving the development and deployment of trusted, responsible AI — and navigating the associated risks and pitfalls. Drawn from Dr. Eva-Marie Muller-Stuler's experience leading enterprise AI at IBM, EY, and KPMG across Europe, the Middle East, and Africa.
View the Book →What is the role of governments in the future? How are they leveraging Data Science and AI? What threats are they facing and how can they best prepare?
Panel at the Global AI Summit in Dubai on the role and discipline of data science.
Geomarketing Competence Day keynote on data ethics: what risks does the use and processing of data pose for society, and how can we minimise these risks?
Six pillars of successful AI — strategy, operating model, tools and technology, MLOps and engineering, change management, and skills — and where trustworthy AI sits in each.
Beyond accuracy: the five additional properties — explainability, fairness, robustness, transparency, and privacy — that AI systems need to be trustworthy.
Why most AI projects die in the POC phase and never get fully deployed, let alone scaled. The six pillars that determine whether enterprise AI succeeds or stalls.
Keynote at MKAI on bias mitigation and the practical work of building trustworthy AI inside enterprise.
Keynote at the Women in Data Science conference on the role of data science under crisis conditions.
Media commentary, board briefings, or advisory engagement — all start with the same form.