AI Strategy and Implementation @DAT

AI Strategy and Implementation @DAT

This use case article gives an overview of the Strategic, Technical and Organizational implementation of Data Science at Deutsche Automobil Treuhand (DAT).

Key challenges

Our client is DAT Group, an international company operating in the automotive industry. They provide automotive data, products and services that focus on enabling a digital vehicle lifecycle for over 90 years.

Data being an important part of their core business, they were used to manipulating it, analyze it and in fine take decisions based on it. In their journey to become an even more data-driven company, DAT wanted to innovate by effectively integrating new AI and Data Science capabilities to their business.

Challenges were therefore to :

Our approach

In order to address DAT’s challenges and enable them to take advantage of advanced analytics capabilities:

1. We helped them define a clear AI strategy:

Replay email signature - AI Strategy Webinar with DAT
Webinar replay – Customer Story: How to Build a Successful AI Strategy @DAT

2. We supported them both in defining and setting up an implementation plan:


Team involved

6 experts involved during 18 months:

Technology & Partner

Technologies used for this use case: Python, Azure Machine Learning, Azure Cloud, Apache Spark, Data Bricks and ML Flow