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Get Our Guide for Data and Gen AI Strategy 

Keep up with the latest technology trends by developing the data management required to successfully implement AI with our exclusive 2024 guide.

Access our key strategies to prepare your data, ensuring seamless AI integration and smarter decision-making. We want to help you futureproof your data management.


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Planning to implement AI?

Prepare Your Data and Your People 

Learn what the experts (Wavestone, AWS, and Salesforce) say about the future of AI in business intelligence and how to prepare your data and your company to optimally leverage generative AI. 

We'll take you through the practical steps:

  1. Consolidating Your Data
  2. Building a Semantic Layer
  3. Fostering Data Literacy
  4. Defining Your Key Metrics
  5. Challenges to AI-Ready Data

One you submit the form, you will be sent a PDF copy of A Guide to Data and Generative AI via email. 


Here's How to Get Your Data Ready for AI:

Listen to Our Expert Insights



For months, our CEO Brick and CTO Caleb have been recommending that companies start preparing their data infrastructure to leverage the current and upcoming AI technologies. In this episode, however, they break down how to prepare. They emphasize the need for data consolidation (and recommend OneLake on Microsoft Fabric), a robust semantic layer for report development, data literacy development within the organization, and consistent metric definitions. Subscribe to our channel to stay up to data on our expert insights on data and AI. 


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