Ehtisham Zaidi’s Post

🎉 New Research Alert!🎉 Our team has been working tirelessly to produce a comprehensive 'Client Journey Content Pack' on what is clearly one of the most popular topics for 2024 and beyond - AI-READY DATA! We are proud to present - "A Journey Guide to Delivering AI Success Through ‘AI-Ready’ Data" Urgent demand for AI-ready data to support AI initiatives (including GenAI applications) requires evolutionary changes to data management and in some cases urgent upgrades to the data management architecture, platforms, skills and processes. Data and Analytics and their teams leaders can use this client journey guide to successfully deliver AI-ready data for AI use-case success. We know that AI-Ready data is not one and done. It is a journey that involves iteratively aligning, qualifying and governing your data to support your specific AI use case. Hence this comprehensive guide is designed to help Gartner clients navigate this entire journey through the following 4 Key Steps: • Gaining foresight • Defining Value and Gaining Executive Buy-In • Executing, Implementing and Being Able to Scale • Governing and managing change Gartner Clients can explore the questions aligned with each of these steps and gain access to all the necessary research to help them succeed at each stage of their journey. Remember, while this journey is presented as a sequential set of steps, it is designed to be iterative. You can join at any point based on your organization’s current state and future ambitions. Huge thanks to our Chief of Research Rita Sallam for inspiring us and helping us plan and deliver this content. And as always this would never have been possible without our excellent team of analysts Roxane Edjlali, Melody Chien, Mark Beyer, Radu Miclaus, Ramke Ramakrishnan, Stephen Emmott, Sumit Agarwal, and finally our exceptional creative and editing team. Check it out and let us know your thoughts! Link for Gartner Clients (Paywall) - https://lnkd.in/geC2Ba2p #AI #AIReadyData #DataManagement #DataFabric #GenAI #LLM #CDAO, #DataEngineering #DataManagementLeaders