... As context and composite AI reshape members’ data and technology stacks, they must consider which investments will yield value across multiple futures. Context layers, graphs, and “shared services for agents” are just some regret-free components to future-proof members’ updated stacks. Acknowledgments ...
Analyst(s): Research Board Research Team
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... Annual CDO Survey The Gartner Sixth Annual CDO Survey confirms that the role of chief data officers and other data and analytics (D&A) leaders is growing in influence and impact. To succeed, D&A leaders, especially chief data officers, must demonstrate measurable value to multiple business stakeholders. The ...
... DigitalOps-oriented process architecture. Key Challenges Introduction Analysis Separate the Coarse-Grained Phases of Work to Enable Modular Processes That More Easily Support Unfolding Business Contexts Dynamically Assemble Processes to Support the Context Develop a Common DataArchitecture to Facilitate Process ...
... Enterprise Architecture design agentic systems and govern AI to deliver strategic business value with Gartner insights. Leading AI transformation stands as a critical mandate for Heads of EA Unstructured AI adoption generates disruption, not strategic value. For the Head of Enterprise Architecture, the mission ...
... value comes from strong data, governance, operating models and technology foundations. Join Gartner Data & Analytics Summit 2027 to explore AI, data and analytics strategies that deliver measurable results and growth. Leadership and Strategy Build leadership capabilities that turn data, analytics and AI into ...
... Data and analytics leaders face a growing challenge of managing the rapidly increasing volume and diversity of data generated at the edge. This research assists data and analytics leaders in planning for this shift, providing recommendations on data persistence, distributed dataarchitectures, and governance ...
... Modern Data Engineering Systems Data engineering is central to delivering scalable, reliable, and AI-ready analytics platforms. As data ecosystems grow more complex with cloud and GenAI adoption, D&A and AI leaders must ensure their teams are equipped for success. The Essentials Skills for Data Engineers ...
... This note examines how members can support data management through incisive metadata upkeep, which informs observability and governance; composable dataarchitecture, which drives better data products; and an awareness of the oncoming convergence of data management capabilities. Gartner Recommended Reading ...
... enterprise data and data management practices are capable of supporting agentic AI requirements, including evaluating agents for valid usage of data. Without evaluating whether the data is suitable for agentic AI, organizations risk facing unpredictable outcomes, such as inaccurate responses or data misuse ...
Analyst(s): Mark Beyer | Ehtisham Zaidi | Roxane Edjlali | Adam Ronthal