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The Operating Model as a Foundation for Intelligent Enterprise Data Management

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The Operating Model as a foundation for Intelligent Enterprise Data Management

30 August 24

On Demand Webinar

Why You Should Watch

In this webinar, they will focus on how to unlock the true value of enterprise data through the lens of an enterprise operating model. They will discuss how large language models can contextualize business operations and why a well-structured approach is crucial for realizing the full potential of AI.

01

AI and Enterprise Data:

Discover how AI, particularly large language models, can contextualize and enhance your business operations, making data-driven decisions more precise and impactful.

02

The Power of an Operating Model:

Learn why a well-structured enterprise operating model is essential for unlocking the full potential of your data and AI investments.

03

Real-World Applications:

ee real-world examples of how leading enterprises are successfully implementing AI to optimize operations, reduce costs, and enhance decision-making.

Speakers

Experts in the field

Today’s session is led by two experts in the field. First, we have Igor Ikonnikov, Research & Advisory Director in the Data & Analytics practice at Info-Tech. With extensive experience across information management domains, Igor is a master in driving strategy and execution for data-driven decision-making.

Joining him is Terry Roach , Chief Product Officer and founder of Capsifi. Terry’s foundational research and leadership roles at global tech giants have shaped his deep understanding of business and enterprise architecture.

Watch the Video!

Insights
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Gartner disclaimer:

Gartner, Magic Quadrant for Enterprise Architecture Tools, Akshay Jhawar, Gilbert van der Heiden, Andrew Gianni, Andreas Frangou, 12 December 2022.
GARTNER is a registered trademark and service mark and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.