Analyzing Medical Images: Detecting Pneumonia with Custom Vision AI
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!
Agenda:
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.
First Speaker at tbe Data & AI Hub Reinforcement Learning of Train Dispatching at Deutsche Bahn Dr. Tobias Keller, Data Scientist @dbsystelpic.twitter.com/nPzrcTgHgr
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.
15th Data & AI Meetup in Frankfurt: Visual Analytics: from messy data to insightful visualization by Daniel Weikert @sgc_siegerpic.twitter.com/sTvaAwQxc2
If you’ve dreamed of sharing your Data & AI story with many like-minded Data & AI enthusiasts, please submit your session proposal or reply to the recap tweet:
From ideas to dashboards: The essential books for mastering your Data Journey, featuring ‚Info We Trust‘, ‚Visual Analytics with Tableau‘, and ‚The Big Book of Dashboards‘.
Today, data is at the core of everything we do, but the journey to mastering it can be overwhelming. Last year I started lecturing a Data Analytics course at university (as part of an MBA program). In the meanwhile, I was refining the list of books that I highly recommend to read. Three of these books form the Data Journey!
The Data Journey: A Human-Focused Approach to Data Storytelling
The Data Journey is not just about numbers; it’s about understanding the evolution of data, the power of visualization, and how it all connects to real-world business. Here are the books that will guide you on this path:
1. Info We Trust: How to Inspire the World with Data
Begin your Data Journey with a deep dive into data storytelling. Info We Trust explores data lifecycle across disciplines, with inspiring references and hand-drawn illustrations. It’s a must-read for anyone serious about data communication.
This book examines all parts of the data storytelling lifecycle across disciplines. The use of marginalia and hand-drawn illustrations give you both simple lessons to take away and insights into where to find out more. The book is full of magnificent references that inspire further reading.
2. Visual Analytics with Tableau
Ready for hands-on experience? My book, Visual Analytics with Tableau, provides a step-by-step guide to mastering Tableau, from basic chart creation to advanced statistical modeling. With Tableau available for free to students, there’s no reason not to dive in!
Visual Analytics with Tableau covers everything you need to get started with Tableau (students get Tableau for free!). The book guides you from the first steps of connecting to data, creating different types of charts, and adding calculation fields to more advanced features such as table calculations, forecasts, and clusters, as well as R, Python, and MATLAB integration for sophisticated statistical modeling.
3. The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
Back to business (as this course is designed for an MBA program). We close our Data Journey canon with The Big Book of Dashboards. This is a comprehensive reference book with real-world solutions for business dashboards and a detailed analysis of do’s and don’ts.
This comprehensive reference book offers real-world solutions for business dashboards. It’s a practical guide to understanding do’s and don’ts in data visualization, categorized by industry and functional business areas.
Need More Inspiration for Mastering Data Journey? #MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time
Because vizzing alone is only half the fun, you should not miss the #MakeoverMonday book. Eva Murray and Andy Kriebel are icons in the data visualization community (read the interview!) and they have curated the thousands of visualizations from the #MakeoverMonday project into a practical guide that will take your design and data communication skills to the next level!
The #MakeoverMonday book by Eva Murray and Andy Kriebel is a treasure trove of data visualization insights. It’s a practical guide to enhancing your design and communication skills.
Join the Conversation: Your Recommendations for the #DataJourney
Interested in more insights on data visualization, analytics, and Tableau? Follow me on Twitter and LinkedIn, and let’s continue learning together. And don’t forget to check out my book Visual Analytics with Tableau to take your data journey to the next level!
What other books have inspired you on your data journey? Share your favorite data books in the blog post comments or reply to this tweet:
Joining a Tableau User Group: A fun photo of Tableau #datarockstars
Joining a Tableau User Group (TUG) is more than just participating in a community; it’s a pathway to personal and professional growth. In this post, we’ll explore the five compelling reasons for joining a Tableau User Group and how it can enhance your experience with Tableau. From the moment I started using Tableau at CERN (read about my Tableau experience at CERN here), I realized the importance of community in mastering this robust tool.
1. The Value of Joining a Tableau User Group: Community and Collaboration
The Tableau community is one of the biggest differentiators between Tableau and the rest of the market. It’s not just about technology; it’s about ensuring the larger community is successful with it. I was able to start using Tableau at CERN in just three days, thanks to this passionate community. With a simple Google search, you can get answers to your Tableau questions in seconds. This network of users is committed to helping each other succeed.
2. What Happens at a TUG? Learn, Share, and Network
TUGs offer a variety of activities, ranging from customer speakers demonstrating Tableau usage to hands-on training and competitions. You can learn new tips ’n‘ tricks, share your experiences, and network with other Tableau enthusiasts. Whether you’re facing daily Tableau struggles or looking for new insights, TUGs are welcoming platforms for collaboration and learning. Plus, there’s often pizza and beverages to enjoy!
3. Getting Involved: How to Connect with Your Local Tableau User Group
Getting involved in a TUG is easy. Follow @Tableau and @xlth on Twitter, keep an eye on relevant hashtags, and don’t hesitate to reach out if you need guidance. You can also become a speaker, sharing your data journey or work experience. Check the Tableau events page or contact your Tableau account manager to find a TUG near you.
4. Bring a Friend and Build Connections
TUGs are not only professional gatherings; they’re social and networking events too. You can bring a friend for support or make new friends easily within the community. Engage in social projects, participate in hashtags like #MakeoverMonday, and discover more events like Data+Women or The Tableau Fringe Festival. The possibilities for connection and collaboration are endless.
5. Embrace the Community Spirit
Don’t hesitate to join the Tableau community. It’s a group of interesting, knowledgeable people all using the same tool and facing the same challenges. There’s much to learn and many people to meet. Join our Tableau User Groups and become a part of this thriving community.
Stay Connected: Follow Me for More Insights
The experiences we’ve shared in the Tableau community have shaped us, and I’m grateful for every connection and collaboration. If you’re interested in diving deeper into data visualization, don’t miss my book, Visual Analytics with Tableau. It’s designed to help you master the art of data visualization with Tableau, no matter your experience level. 📚 Explore „Visual Analytics with Tableau“(Amazon) and let’s turn data into insights together!
I invite you to join our ongoing conversation about Tableau, data visualization, and more. Follow me on Twitter and LinkedIn, and let’s continue learning together.
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