Sessions

3 tracks (Data Engineering, Data Science and Machine Learning, MLOps), more than 20 sessions and 2 keynotes.

More tracks and sessions coming soon

See All Confirmed Speakers Go to Festival Spaces

Keynotes

Alexandra Wudel

Can we trust AI?

Dr. Larysa Visengeriyeva

From Princess to Samurai: Decoding Responsible AI Through the Samurai Philosophy

Data engineering

Dr. Anna Hannemann

Leveraging data-driven automation for optimized e-grocery fulfillment and supply chain management

Tuning your ML Platform to get ahead in the GenAI race: challenges and takeaways

Katharine Jarmul

Women+-Empowered ML

ML Data Version Control and Reproducibility at Scale

Data Science and Machine Learning

Anastasia Evsyukova

The Power of Data Product Management: Driving Innovation & Future-Proofness

Rodeina Ihab & Kyra Goud

Cognitive Empowerment through open weight LLMs as Ethical Smart Assistants

Dr. Elnaz Shafaei

From Boom to Bust: Global and Historical Trends in Gender Disparity in Tech

Dr. Angela Jones

Beyond the Textbook: Unexpected Hurdles in A/B Testing B2B Recommender Systems

Anke Koke & Leonie Luttkus

From Vision to Deliverables: Evaluating the Hype and Impact of latest AI development on Industry

Dr. Barbara Feulner

AI for precision medicine

Larissa Mikolaschek

Generative AI in Production

Shiva Banasaz Nouri

Advancing Legal Data Analysis with Explainable AI

Dr. Shirin Riazy

Books, Bots and Beyond: a School Book Publishers Insights after the LLM Hype

Anastasia Karagianni

The conceptualisation of sexualised deepfakes as AI-generated image-based violence

Where the AI revolution meets healthcare

MLOps

Building Applications with LLMs: from Traditional ML Engineering to AI Engineering

5 ways to fail scaling MLOps and Responsible AI within your organisation.

Simonetta Batteiger

Essential Leadership Skills in Data and AI

Panel Discussions

Panel Discussion

Panel: Women+. Entrepreneurship. AI.

Refresh

Refreshing Session

Smart Recharge

W+DAI: Women+ in Data & AI

Women in Data and AI
Summer Festival

We aim to celebrate inclusivity and diversity in various tech communities by organizing a “Women+ in Data and AI” tech summer festival where we create opportunities to engage in technical, professional, and non-technical conversations in a positive, supportive environment.

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