Sessions

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.

Sessions

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

Keynote

Dr. Anna Hannemann

The Art and Science of Data Science: from PoC to Data Products in Production

Daria Hvizdalova

Prompt Your Way Into The Future: AI, Lifelong Learning And The Skills of Tomorrow

Data Engineering

How to Scale Your Business in The Cloud in a Sustainable Way

A Data Mesh Implementation to Facilitate Data Sharing Across Digital Products for Insights Extraction

Distributed Pandas – From Performance Art to Production

From Data to Decision

Data Science & Machine Learning

Vectorize All The Things! Using Linear Algebra And NumPy to Make Your Machine Learning Code Lightning Fast.

The (U)X Factor: How to Build Lasting LLM-Based Products Amidst Rapid AI Innovation

Navigating The Generative AI Wave to Build Great Products

Building Deeper Connections in New Dimensions - First Steps in the Metaverse

Self-Supervised Learning Applications in Drug And Herbicide Research

The Importance of OPEN to Data Science

Responsible AI Principles for Generative AI

AI For Power Plants

From Zero to Hero: How we unlocked the potential of unstructured image and text data in Delivery Hero

Playing Whack-a-Mole With Fraudsters in E-Commerce Using Machine Learning

Turning your data and AI algorithms into full web apps in no time with Taipy

MLOps

Architecting MLOps: The Journey from Identifying ML Use Cases to the ML Platform Architecture

Building And Scaling a Machine Learning Platform For Even More Freude Am Fahren

Six Best Practices for Bringing a Machine Learning Project into Production