... Podcast: Scale AI with Data and Analytics In this episode of ThinkCast, Gartner VP Analyst Gareth Herschel walks through the top five ways to scale AI initiatives using data and analytics. In a preview of the 2025 Gartner Data & Analytics Summit, Gareth breaks down actionable strategies, like aligning ...
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... Audit at Lockheed Martin created a governance framework enabling direct CAE oversight of data analytics prioritization choices. CAEs can use this approach to better identify and select scalable data analytics solutions for audit based on potential business impact. Case Overview Problem Critical Components ...
... and B2B buyers, impacting privacy concerns and brand trust. CMOs must course-correct by incentivizing customers to share their data and creating a value exchange. Overview Data Insights Gartner Recommended Reading Gartner Research ...
... Access Insights Already a Gartner client? There will be 3.7 million data center sites worldwide in 2029. In response to increasing AI workload, growth is driven by large data centers housing 57% of the servers, up from 41% in 2024. Overview Table of Contents for Download Attachment List of Tables for ...
... client? The data and analytics software market will grow to $175 billion in 2025 and reach $358 billion in 2029, with a CAGR of 15.4% at a constant currency from 2025 to 2029. To see continued growth, technology general managers should focus on agentic analytics, market consolidation and data fabric-fueled ...
Analyst(s): Robin Schumacher | Omar Ansari | Kevin Quinn | Radu Miclaus | Ben Fieselmann
... clients may not fully trust them. Cybersecurity leaders should proactively define and follow security strategies to limit CSP data access based on the criticality of the data rather than generalized fears. Overview Strategic Planning Assumption Introduction Analysis Contributors Gartner Recommended Reading ...
Analyst(s): Sarah Almond | Charlie Winckless | Lydia Leong
... face a crowded and fragmented data management market. This market is essential for AI readiness and is shaped by cloud adoption, rapid innovation, evolving architectures and regulatory demands. This guide helps evaluate vendors offering secure, scalable, interoperable data ecosystems for transformation ...
... Traditional data and analytics (D&A) governance approaches remain rigid and insufficient to support AI governance. Chief data and analytics officers should use this roadmap to evolve into an adaptive D&A governance model, sensitive to both opportunity and risk in an evolving AI landscape. Overview Strategic ...
... Decentralized data consumption and the rise of generative AI are transforming data management into an interdisciplinary function. Data management leaders can meet business needs by cultivating business acumen, metadata management, AI engineering, compliance and infrastructure skills in their teams. ...
Analyst(s): Adam Ronthal | Ben Yan | Masud Miraz | Xingyu Gu