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Premium Research Oct 2026
... management not only by automating data management tasks but also by prioritizing machine-oriented design for broader AI workloads. D&A leaders must modernize strategies, upskill teams and invest in AI-optimized solutions to manage this disruption. Insights at a Glance Strategic Planning Assumption Issue Impact ...

Analyst(s):   Xingyu Gu   |   Ramke Ramakrishnan
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Research Oct 2026
... are moving security services budgets toward three things: AI-run security operations, preemptive exposure management, and AI trust, risk and security management. Security service product leaders who have not built differentiated offerings in these areas by 2027 will lose share to those who have. Overview ...

Analyst(s):   Bryan Haley   |   Tom Powledge
Premium Research Aug 2025
... Setting up the right organizational structure for AI is critical to its success. Data and analytics leaders — whether serving as heads of AI themselves or supporting other AI leaders — must help define the AI organization and the roles required. AI ambition and maturity are essential for organizational ...

Analyst(s):   Pieter den Hamer   |   Jorg Heizenberg
Research Jan 2026
... Semiconductor chokepoints and energy bottlenecks get the attention, but the real threat to AI infrastructure growth is hard to find dynamic constraints across the value chain. Product leaders accountable on AI infrastructure growth must anticipate and mitigate these less-visible limitations for business ...

Analyst(s):   Gaurav Gupta
Premium Research Feb 2026
... Assess the readiness of data for AI use cases and develop plans to address identified readiness gaps. Outcome Suggested Partners Step 1 Step 2 Step 3 Gartner Insights Abstract ...

Analyst(s):   Richa Jha   |   Ehtisham Zaidi
Premium Research Sep 2026
... insights on emerging trends CIOs should not wait for AI audits to be mandatory before benefiting from an independent level of assurance. California’s SB 813 and 18 September 2026 executive order have laid a foundation for a market of independent AI auditors, but CIOs can act today to align third-party ...

Analyst(s):   Var Shankar   |   Devanshu Mehrotra
Research Nov 2026
... Insights Already a Gartner client? Cybersecurity teams cannot scale AI adoption if every use case receives the same level of review. Use a two-phase cybersecurity assessment process: a quick risk screen to identify elevated-risk AI use cases, and a targeted risk assessment to evaluate only the risks ...

Analyst(s):   Craig Porter   |   Meghan Hollis
Premium Research Jan 2024
... To manage artificial intelligence, software supply chain security and zero trust, the U.S. federal government issued bold policies that pose new challenges in resourcing and implementation for CIOs. The background and recommendations in this research can assist CIOs in achieving policy objectives. Overview ...

Analyst(s):   Michael Brown   |   Daniel Snyder
Premium Research Sep 2025
... AI’s rapid evolution compels organizations to rethink their technology infrastructure. Less than half of AI pilots reach production often because they lack structured operationalization and DevOps frameworks. CIOs and AI leaders must embrace AI engineering to build reliable AI foundations to deliver ...

Analyst(s):   Sumit Agarwal   |   Soyeb Barot   |   Arun Chandrasekaran   |   Chirag Dekate   |   Erick Brethenoux   |   Birgi Tamersoy
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