... In the AI era, access to client data must be earned through explicit value exchange, architectures and commercial constructs that preserve client control. Service providers that don’t productize data access risk architecting irrelevant AI services offerings. Insights at a Glance Issue Impact Implications ...
Analyst(s): Fernando Pereiro
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... making and guides you to: Identify what decisions to reengineer, and why Prioritize decisions, analytics and data Fit artificial intelligence into decision making Rethink your D&A architecture Build skills, habits and teams geared for effective decision making Complete the form and download your free ...
... Data management leaders face numerous challenges, including increased demand for new data assets, governance challenges brought on by GenAI, improving operating models, and modernizing architecture and infrastructures. Join this complimentary Gartner data management webinar as a Gartner expert provides ...
... and accelerating adoption of hyperconverged systems helped drive integrated systems market growth in 2Q26. Despite softer demand for reference architectures, AI-driven infrastructure modernization continued to create strategic growth opportunities. Overview Methodologies and Definitions Gartner Recommended ...
Analyst(s): Andrew H Kim | Adrian O'Connell | Amit Goyal
... Heads of enterprise architecture can leverage AI to serve as a cost-effective toolmate to the EA team. This research outlines key functional components of an AI-based architecture governance assistant that heads of EA can leverage to improve architecture governance. Insights at a Glance Strategic Planning ...
... analytics and data science/machine learning tools and vendors including strengths, weaknesses, comparisons Define data, analytics, data science/machine learning and AI trends, including technology, organization and process Build and support an ecosystem, organization and architecture for data, analytics, ...
... Already a Gartner client? AI-related aspirations are affecting most aspects of data management. In particular, a focus on context layers and semantics, combined with sovereignty concerns, is driving risk and governance innovation. Data and analytics leaders can use this research to help strategize roadmaps ...
... Access Insights Already a Gartner client? By 2030, unstructured, analytical and telemetry data growth will exceed the limits of traditional storage management as fragmentation and governance drift intensify. Heads of I&O must modernize via life cycle automation, platform-run services and optimized archival ...
... Data, analytics, and AI capabilities are increasingly converging into single, unified platforms. For data and analytics technical professionals, this creates leading-edge frontier opportunities, though not without new challenges and risks when implementing converged architectures and platforms. Overview ...