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How to Identify the Next-Best-Use-Case of Predictive Analytics for Industry 4.0

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Selma J.
How to Identify the Next-Best-Use-Case of Predictive Analytics for Industry 4.0

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Hi all,
Hope all of you are doing wonderful and had a great start this week :).
I am glad to announce the next meetup in our user group and am excited to see all of you again.

Our special guest, Martin Szugat, will show you a proven method (called Data Strategy Design) and provide you a free set of tools (the Data Strategy Designkit) to identify, evaluate, and prioritize analytics use cases. This time our meetup is more hands on and learning by doing.(See below for more details)

Abstract:
Implementing successful AI use cases in the industry is hard: about 80% of all data analytics projects fail. So, you should pick your next use case wisely! Martin will show you a proven method (called Data Strategy Design) and provide you a free set of tools (the Data Strategy Designkit) to identify, evaluate, and prioritize analytics use cases. Instead of showing you endless slides, we will work together on a practical example project using the online collaboration tool Miro.

Speaker Bio:
Martin Szugat is founder and managing director of Datentreiber, a data strategy consultancy supporting companies to digitally transform to a data-driven business. He invented the Data Strategy Design method and provides a free Data Strategy Designkit. Prior to Datentreiber, Martin Szugat was managing director of SnipClip, an agency for social media marketing & analytics. With a degree in bioinformatics, he has conducted research in machine learning and worked as a freelance software developer, consultant & author. Since 2014, he is responsible for the Predictive Analytics World (especially for Industry 4.0) & Deep Learning World conferences in Europe as program director.

Looking forward to see you all again!

Login for tonight:
https://www.bigmarker.com/comsysto-reply/How-to-Identify-the-Next-Best-Use-Case-of-Predictive-Analytics-for-Industry-4-0-5d0e86078bbbc9fbdc4eec97

Cheers,
Selma

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