As business leaders seek the adoption of AI-enabled capabilities across all aspects of operations, less than a third of D&A leaders express confidence that their organization is ready to meet the challenges associated with meeting AI-driven demand’. This multi-group discussion will cover:
Which components of the D&A value delivery chain are most in need of evolution?
What are the best next-generation D&A organizational & operating models suited for the AI-era?
What are the best KPIs for measuring ‘AI-readiness’ among systems, teams, and leaders?
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Speaker
Roxane Edjlali
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talks
Roxane Edjlali is a Research Director, focusing on data management strategies, supporting organizations to achieve effective uses of data in order to maximize business value. With digital business transformation, data management is becoming a crucial discipline to organizations. Ms. Edjlali supports Data and Analytics leaders in achieving data management excellence by providing guidance on strategies, organizational models, practices and technologies. More specifically Ms. Edjlali addresses emerging data management challenges such as data management in support of machine learning and artificial intelligence, data management in support of analytical uses of data and metadata management.
Bio from: gartner-data-analytics-apac-2025
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Data lakehouses continue to be hyped but do they replace or complement data lakes and data warehouses? Where do we stand from an architectural perspective? What is hype and what is real? What should be expected in the coming years?
With growing focus on AI in organisations, deliveringAI-ready data has become the number one investment priority of data management leaders. This session will define AI-ready data, how it differs from traditional data management and discuss AI-ready data practices and technologies.