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... Delivering flexible dataarchitecture and collaborative governance is crucial for organizations to deliver data and AI-centric use cases. This initiative covers innovative design strategies, methodologies deployment models and agile practices to deploy data management solutions effectively. Scope Analysis ...
... 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 ...
... This AI briefing examines three important updates: market consolidation in AI-ready data infrastructure, IBM’s new Red Hat AI Inference service, and Microsoft’s DELEGATE-52 research on systemic agentic AI vulnerabilities. Insights at a Glance Strategic Planning Assumption Issue Impact More Detail Gartner ...
Analyst(s): Shubhangi Jena | Auria Asadsangabi | Lucas Kobat
... Twelve members of Gartner Research Board’s D&A community share perspectives on their readiness and priorities for building AI-native technology architecture, including near-term investments, governance approaches for business context, and shared services capabilities to support AI and agentic systems ...
... Heads of enterprise architecture must ensure all architects collaboratively deliver artifacts that connect strategy to execution that ultimately drive enterprise value. This research provides heads of EA with a visual framework to align specific artifacts to the appropriate architects at each stage of ...
... study: Close the Data Science Talent Gap by Hiring and Upskilling Internally How Eastman drove value and overcame data science talent challenges in a competitive market. Data science talent is infamously difficult for data and analytics (D&A) leaders to find. Organizations know their data is a latent asset ...
... 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 ...