Schedule

Show Floorplan
Halle
Studio B
Studio C
Festival Spaces
8:45
Festival Opening And Introduction
9:00
The Art and Science of Data Science: from PoC to Data Products in Production
The Art and Science of Data Science: from PoC to Data Products in Production
Dr. Anna Hannemann
Track:
Keynote
10:15
From Data to Decision
From Data to Decision
Emily Gorcenski
Track:
Data Engineering
11:05
Six Best Practices for Bringing a Machine Learning Project into Production
Six Best Practices for Bringing a Machine Learning Project into Production
Lina Weichbrodt
Track:
MLOps
12:00
Distributed Pandas – From Performance Art to Production
Distributed Pandas – From Performance Art to Production
Holden Karau
Track:
Data Engineering
13:00
Pause
Pause
Track:
14:00
A Data Mesh Implementation to Facilitate Data Sharing Across Digital Products for Insights Extraction
A Data Mesh Implementation to Facilitate Data Sharing Across Digital Products for Insights Extraction
Dr. Laura Fernandez Gallardo
Track:
Data Engineering
14:55
Building Deeper Connections in New Dimensions - First Steps in the Metaverse
Building Deeper Connections in New Dimensions - First Steps in the Metaverse
Kira Grabner
Track:
Data Science And Machine Learning
15:55
The (U)X Factor: How to Build Lasting LLM-Based Products Amidst Rapid AI Innovation
The (U)X Factor: How to Build Lasting LLM-Based Products Amidst Rapid AI Innovation
Hanna Behnke
Track:
Data Science And Machine Learning
16:50
Panel Discussion
Panel Discussion
Track:
18:05
Prompt Your Way Into The Future: AI, Lifelong Learning And The Skills of Tomorrow
Prompt Your Way Into The Future: AI, Lifelong Learning And The Skills of Tomorrow
Daria Hvizdalova
Track:
Keynote
10:15
The Importance of OPEN to Data Science
The Importance of OPEN to Data Science
Tala Ismail
Track:
Data Science And Machine Learning
11:05
Responsible AI Principles for Generative AI
Responsible AI Principles for Generative AI
Isabel Bär
Track:
Data Science And Machine Learning
12:00
Architecting MLOps: The Journey from Identifying ML Use Cases to the ML Platform Architecture
Architecting MLOps: The Journey from Identifying ML Use Cases to the ML Platform Architecture
Dr. Larysa Visengeriyeva
Track:
MLOps
13:00
Pause
Pause
Track:
14:00
How to Scale Your Business in The Cloud in a Sustainable Way
How to Scale Your Business in The Cloud in a Sustainable Way
Nataliya Remez
Track:
Data Engineering
14:55
Self-Supervised Learning Applications in Drug And Herbicide Research
Self-Supervised Learning Applications in Drug And Herbicide Research
Paula A. Marin Zapata
Track:
Data Science And Machine Learning
15:55
Playing Whack-a-Mole With Fraudsters in E-Commerce Using Machine Learning
Playing Whack-a-Mole With Fraudsters in E-Commerce Using Machine Learning
Dr. Brenda Penante
Track:
Data Science And Machine Learning
10:15
Building And Scaling a Machine Learning Platform For Even More Freude Am Fahren
Building And Scaling a Machine Learning Platform For Even More Freude Am Fahren
Magdalena Kuhn
Track:
MLOps
11:05
AI For Power Plants
AI For Power Plants
Dr. Katarzyna Stoltmann
Track:
Data Science And Machine Learning
12:00
Turning your data and AI algorithms into full web apps in no time with Taipy
Turning your data and AI algorithms into full web apps in no time with Taipy
Marine Gosselin
Track:
Data Science And Machine Learning
13:00
Pause
Pause
Track:
14:00
From Zero to Hero: How we unlocked the potential of unstructured image and text data in Delivery Hero
From Zero to Hero: How we unlocked the potential of unstructured image and text data in Delivery Hero
Dr. Aleksandra Kovachev
Track:
Data Science And Machine Learning
14:55
Navigating The Generative AI Wave to Build Great Products
Navigating The Generative AI Wave to Build Great Products
Rosana Ardila
Track:
Data Science And Machine Learning
15:55
Vectorize All The Things! Using Linear Algebra And NumPy to Make Your Machine Learning Code Lightning Fast.
Vectorize All The Things! Using Linear Algebra And NumPy to Make Your Machine Learning Code Lightning Fast.
Jodie Burchell, PhD
Track:
Data Science And Machine Learning
10:15
Bold Vision Workshop
Bold Vision Workshop
Deborah Narder
Track:
12:15
Entrepreneurship in AI
Entrepreneurship in AI
Felicia von Reden
Track:
13:00
Pause
Pause
Track:
14:00
Developing Career Success Through Effective Company Tactics And Feedback
Developing Career Success Through Effective Company Tactics And Feedback
Selma Hadzic
Track:
15:00
How to get started with investing for financial independence
How to get started with investing for financial independence
Track:
16:00
Rock Your Profile
Rock Your Profile
Gaby Wasensteiner
Track:
20:00
Techno Night
Location: Saal
with Franziska Berns

Floorplan

floor plan. halle and saal on ground floor, festival space outside on ground floor, studios on 4th floor
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