... A leaders play a central role in achieving their organization’s AI value ambition. Through 2030, the D&A leader’s mandate is to deliver new trusted data, context foundations and proactive intelligence. Making these AI-augmented capabilities accessible to teams of broad-skilled humans and AI agents is ...
Analyst(s): Sumit Agarwal | Afraz Jaffri | Lauren Kornutick | Sarah James | Ehtisham Zaidi | Carlie Idoine | Rita Sallam | Soyeb Barot | Sarah Turkaly | Anurag Raj | Christopher Long
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... In 2026, the leading trends are AI agents, advancements in semantics, and data and analytics platform convergence. For D&A leaders looking to identify key business and technology themes, these areas are essential to deliver cost-effective value and become an AI-first enterprise faster. Overview Strategic ...
Analyst(s): Rita Sallam | Ramke Ramakrishnan | David Pidsley | Christopher Long | Robert Thanaraj
... Access Insights Already a Gartner client? Data integration tools remain a fundamental architectural component as organizations increasingly seek improved capabilities to support their operational, analytical and AI use cases. This research helps data and analytics leaders make their decisions by analyzing ...
... In the age of AI, data governance is the critical enabler of innovation, ensuring data is fit for purpose with strict thresholds for quality, security, and privacy. This brief outlines the 10 core components of data governance and maps them to a common framework, providing a roadmap for D&A leaders to ...
... service providers, they increasingly face challenges related to skill gaps, governance and cost management associated with multicloud data management. This research provides data and analytics leaders with guidance on how to effectively manage multicloud deployments, ensuring the optimal use of cloud resources ...
... capabilities Capture metrics of success that demonstrate value and progress Create consistency and establish trust in analytics by delivering high-quality data Build a modern analytics architecture that includes advanced and augmented capabilities Complete the form to get your free copy. ...
... Access Insights Already a Gartner client? Organizations often fail to capitalize on the data captured to measure SLA attainment. This guidance explains how to turn SLA data into a diagnostic engine, enabling proactive, data-driven service improvement and stronger vendor governance to reduce cost, risk, and ...
... minute Consult the Board survey summary features inputs from seven Data and Analytics Research Board and Technology Infrastructure Research Board members regarding leveraging data observability to ensure data integrity in both general data systems and generative artificial intelligence (GenAI) systems. ...
... Insights Already a Gartner client? D&A leaders face AI initiative failures because agents lack reliable master data context, which often leads to amplified data quality issues. Embed master data management into your context layer to build a trusted foundation, which boosts agent accuracy and helps deliver ...