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Data Strategy Design: An Open Source Toolbox & Method for Data Thinking.

Datentreiber
Datentreiber
DatentreiberManaging Director at Datentreiber

Developing successful AI strategies & products is a complex and interdisciplinary effort. It requires a profound business, user, and data understanding and a skilled team of domain experts, product designers, and AI engineers. There is a proven way and a set of free tools that support your organization in mastering this challenge: it’s called Data Strategy Design and is used by dozens of companies and hundreds of business managers, product innovators, and data scientists around the world. You will also learn how to apply this method and tools for your AI projects. Common Presentation from Datentreiber Martin Szugat and Design Thinking Expert Martijn Bakker for Data Brain Meetup on 8 Oktober 2020. And here is the recording on youtube in case you missed it: https://www.youtube.com/watch?v=U8EbR2gnl_o&feature=youtu.be

Data Strategy Design: An Open Source Toolbox & Method for Data Thinking.

1 of 37
Martin Szugat @ Data Brain Meetup on 10/08/2020
Data Strategy Design:
An Open Source Toolbox &
Method for Data Thinking
1996-2008
Consultant, Author
and Software Developer
Study and Research of
Bioinformatics (Data Science)
2001-2008
Managing Director & Shareholder of
SnipClip GmbH
2008-2013
Program Director of the Predictive
Analytics World & Deep Learning World
Conferences
2014-dato
Managing Director & Founder of
Datentreiber GmbH
2014-dato
Chief Data Officer & Shareholder of
42AI GmbH
2018-dato
Martin Szugat
Why think about data …
… before analyzing data?
Because ~85% of data analytics & AI projects fail!
https://designingforanalytics.com/resources/failure-rates-for-analytics-bi-iot-and-big-data-projects-85-yikes/
Reason #1: no business impact.
Ad

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