Customer Story: How to Build a Successful AI Strategy @DAT

Special guest: Head of Data Science of DAT Group

"By the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI"- Gartner.

If you have an interest in data or AI, then you already heard this kind of sentence. And yet here is the question you keep asking yourself: How? And after that: Where do I start? Confusing, isn't it?

Establishing AI and becoming a data-driven company is a very complex journey. You must consider many dimensions including strategy, processes and use cases, not to mention the organization. Yet, based on our proven experience, we can tell that organizations can achieve their vision only by having an effective AI strategy.

This is especially true for DAT (Deutsche Automobil Treuhand GmbH), with which, in less than two years, we went from a few POCs to an internal data science team and a central data science platform fully operational. Sounds like a dream, doesn't it?

Get your chance to attend our next webinar where Julian Marstaller, Head of Data Science at DAT and Caroline Kleist, Head of Data Science and AI at Positive Thinking Company, will share their experience and best practices on implementing the AI strategy of DAT from scratch.

Topics to be covered during this webinar:

• DAT's Head of Data Science experience feedback and lessons learned,
• Organizations AI maturity level: current status,
• AI Strategy as a key to success,
• Best approach to define and implement an AI Strategy;

Who should participate?

• Chief Data Officer,
• Head of AI,
• Head of Data Science,
• Chief Information Officer
• or anyone with a stake in data science and AI within a company.