This session of Gartner’s top D&A predictions for 2026 will guide data and analytics leaders as they plan for the impact of AI across all aspects of data and analytics, including leadership, governance, talent, market, and the need for AI-ready data and a FinAI competency for value realization.
talk-data.com
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Speaker
Rita Sallam
6
talks
Rita Sallam is a Distinguished VP analyst and Gartner Fellow in the Data and Analytics team. Mrs. Sallam's focus includes tracking market trends, vendor assessment and selection, and identifying best practices for realizing business value from data, analytics and AI investments. Of particular interest is how leaders can leverage disruptions in AI to create sustainable competitive advantage. She is also focused on building frameworks for selecting and valuing data and analytics portfolios including AI investments, including Generative AI.
Bio from: gartner-data-analytics-uk-2025
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Leaders responsible for AI must evaluate the potential benefits and costs of new agentic AI use cases. This insight offers a framework, model and specific numbers for building and simulating total cost and key value drivers at scale for AI agent use cases.
This presentation of Gartner's top D&A predictions for 2024 guides data and analytics leaders as they plan for the impact of AI on all aspects of data and analytics, including leadership, governance, talent, market, and the need for AI-ready data and a FinAI competency for value realization.
There are many ways to show the value of the D&A program. This roundtable session is meant for participants to bring creative examples of how they were able to show the value of their program so D&A leaders can learn from each other's experiences.
AI is having a huge impact, but is not the only thing with societal, technological, and organizational implications driving change in data and analytics. We examine trends in areas such as complexity, trust, and empowerment facing leaders and teams as they make decisions in all aspects of their bet-the-business D&A strategy.
GenAI may excelling in some areas but fail in others, complicating the business case. CIOs often underestimate costs, which can scale by 500%-1000%. Productivity is a key benefit but hard to prove to CFOs. Should you invest in chat-style GenAI for 100K employees or near-custom AI for 50 R&D staff? Join our session to master cost scaling, value harvesting beyond productivity, and creating a portfolio of GenAI investment options.