... to drive tangible ROI from AI blocked by insufficient planning, skills, and data foundations. To avoid failure, centrally steer AI in I&O, learn from enterprise AI wins, reduce AI’s skill demands, and iteratively build data and AI trust. Insights at a Glance Impact Brief Actions How to Execute Success ...
Analyst(s): Melanie Freeze | Katy Weber
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... universal semantic layer continues to be elusive, data and analytics leaders are pivoting to a composite semantic layer as a trend in 2026. This strategy coordinates diverse semantically-driven artifacts to bridge the context gap, reduce analytical data silos and ensure consistent business logic. Insights ...
Analyst(s): Andrés García-Rodeja | Christopher Long | David Pidsley
... Cultural development Internal GenAI deployment and/or governance Technology adoption Internal messaging and mobility IT, Data and Analytics Executives Chief Information Officer (CIO) Chief Data & Analytics Officer (CDAO) Chief Digital Officer (CDO / CDXO) “The insights gained here will be instrumental in shaping ...
... fund accounting in investment. Digital Banking Platform, Strategy, Design & Vendor Selection Core Application Modernization: Data management, Analytics and Integration Data Monetization Strategies and Framework AI and Machine Learning: Practical Use Cases Digital Assets, Tokens and Blockchain in Investment ...
... produce research that solves complex business challenges on a global scale. This includes directing the scope of the research, collecting and analyzing data, identifying and executing on product deliverables (e.g., best-practice case studies, issue analysis papers, benchmarking results, and event presentations ...
... adoption rates, AI/data/ML talent acquisition and retention, IT infrastructure and IT vendor management maturity. Is our data governance sufficiently mature for effective AI use and control? Why it matters: AI is only as trustworthy as the data it trains on and operates with. Poor data governance does not ...
... operational intelligence. Data and analytics leaders can use this research to consider, plan and use their cloud DBMS deployments. Overview Strategic Planning Assumptions What You Need to Know Analysis Alibaba Cloud (PolarDB) Amazon Web Services (Amazon Aurora) Cloudera (Cloudera Data Platform) Cockroach Labs ...
Analyst(s): Rick Greenwald | Adam Ronthal | Aaron Rosenbaum | Xingyu Gu | Henry Cook | Ramke Ramakrishnan
... HR leaders can use this data to understand peers’ 2025 AI spend, their intended 2026 spend, the types of AI they’re investing in, and how long it’s taking to realize value. Overview Gartner Recommended Reading Gartner Insights Abstract ...
... proactive, data‑driven approach to cybersecurity. By continuously validating every access request and automating threat remediation, agencies can better protect sensitive citizen information, maintain regulatory compliance, and stay ahead of evolving threats. Successful adoption depends on strong data governance ...