Welcome to the Data & AI Meetup Recap section of my blog, where I share insights and highlights from some of the best data and AI events around the world. As someone who is passionate about data and the power of technology, I believe that staying on top of the latest trends and innovations is critical to success in the field.
By attending and speaking at various data and AI events, I’ve had the opportunity to learn from some of the brightest minds in the industry, network with other data professionals, and discover new tools and techniques for analyzing and interpreting data.
In this section, I’ll share recaps of some of the most interesting and informative data and AI events I’ve attended, including key takeaways, speaker highlights, and notable sessions. Whether you’re a data scientist, analyst, or just someone interested in the world of data and AI, you’ll find plenty of valuable insights and knowledge in these recaps.
So join me on this journey as we explore the cutting-edge world of data and AI, and discover new ways to harness the power of technology for a better tomorrow.
Recently we had the 19th edition of our Data & AI Meetup. This meetup focused on Chart Choice & Anomaly Detection for Warranty Cases. Let’s have a quick recap!
Intro & announcements: our 5th anniversary
Chart Choice by Dilyana Bossenz, Business Analytics and Enablement Manager at M2.
New Book: Decisively Digital – From Creating a Culture to Designing Strategy by Alexander Loth, author & executive advisor at Microsoft
Anomaly Detection for warranty cases with an example of the automotive industry by Shubham Agarwal, Lead Data Scientist at ATCS and Frank Schlemmbach, Sr. Consultant at ATCS and Sven Sommerfeld, Managing Director at ATCS
Recently we had the 17th edition of our Data & AI Meetup. This meetup focused on Data & AI in Healthcare. Let’s have a quick recap!
16:00 – Willkommen & Intro
16:05 – BI as a Service für eine bessere Healthcare Supply Chain
Christopher Glogger, Sana Einkauf & Logistik
16:35 – AI Trends und Use cases
Andreas Kopp, Microsoft
17:20 – Visuelle Datenanalyse rund um CoViD-19
Markus Raatz, Ceteris AG
17:55 – Wrap up
Darren Cooper and I had the pleasure to welcome 200 Data & AI enthusiasts! Furthermore, we were happy to announce that our Data & AI Meetup group has 1,070 members and our brand new Data & AI LinkedIn group already has 580 members.
Reinforcement Learning of Train Dispatching at Deutsche Bahn
Dr. Tobias Keller, Data Scientist at DB Systel, showed in his session how Deutsche Bahn aims at increasing the speed of the suburban railway system in Stuttgart (S-Bahn) using Artificial Intelligence. In particular, a simulation-based reinforcement learning approach provides promising first results.
Sascha Dittmann, Cloud Solution Architect for Advanced Analytics & AI at Microsoft, showed in his presentation, how TensorFlow and other ML frameworks can be used better in a team through appropriate Microsoft Cloud services. He presented different ways of how data science experiments can be documented and shared in a team. He also covered topics such as versioning of the ML models, as well as the operationalization of the models in production.
Visual Analytics: from messy data to insightful visualization
Daniel Weikert, Expert Consultant at SIEGER Consulting, showed in his session the ease of use of Microsoft Power BI Desktop. He briefly highlighted the AI Capabilities which Power BI provides and showed a way on how to get started with messy data, doing data cleaning and visualize results in an appealing way to your audience.
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