Speaker Bio
Ehtisham Zaidi is part of Gartner's Data Management Research team and is currently the Key Initiative Leader for this research agenda. His research is focused on Data Management Solutions for Data and Analytics leaders. His research topics include Data Management Architecture, Data Management Platforms and Ecosystems, Data Engineering, Data Integration, AI-Ready Data, Data Products, Data Fabric and Data Mesh, Data Strategy and guidance on Pricing and Licensing for tools in these topic areas.
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Sessions
Monday, 02 June, 2025
09:30 AM - 10:15 AM IST
Gartner Opening Keynote: Scale Data and Analytics on Your AI Journeys
Ehtisham Zaidi,
VP Analyst, Gartner
Aura Popa,
Sr Director Analyst, Gartner
With high D&A ambitions and AI pilots becoming increasingly ubiquitous, focus is shifting toward consistent execution. We will share how to continue innovating and experimenting while scaling success. In this keynote, Gartner’s perspective will guide you on preparing for the expected and adapting to the unexpected. Learn to enhance your D&A and AI capabilities on the path to success.
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Tuesday, 03 June, 2025
11:00 AM - 11:45 AM IST
Ask the Expert: Essential Data Quality Practices for AI-ready Data
Ehtisham Zaidi,
VP Analyst, Gartner
Traditional approaches and thinking around data quality are out of date and not sufficient in the era of AI. Data, analytics and AI leaders will need to reconsider their approach to data quality going beyond the traditional six data quality dimensions. This session will help data leaders learn to think about data quality in a holistic way that support making data AI-ready.
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Tuesday, 03 June, 2025
02:30 PM - 03:00 PM IST
Data Fabric: Building and Managing Your Foundational and Long-Term Data Management Architecture
Ehtisham Zaidi,
VP Analyst, Gartner
Urgent Investments in data, analytics and AI use cases has put the spotlight once more on strong data management foundations. Is our Data even Ready for upcoming AI, analytics and data sharing initiatives is now top of mindshare for heads of data, CDAOs and their counterparts. Data Fabrics have emerged as a long term, foundational data management architecture that you should now pursue for sustained D&A success. This session will:
1. Help understand what data Fabrics are and what they mean for your data strategy and architecture
2. Help decide how to build and where to buy
3. Navigate the vendor landscape to assist in tech procurement decisions to aid your fabric journey
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