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Premium Research Oct 2026
... Successful AI adoption in cybersecurity is people-led, not just technology-led. Humans will continue to remain essential for identifying use cases, implementing and configuring AI, and evaluating its success. This note examines how AI adoption will affect headcount, reskilling needs, reallocation of ...

Analyst(s):   Chiara Girardi   |   Scott Brinker   |   Richard Addiscott   |   Kevin Schmidt   |   Alex Tytarenko   |   Alex Michaels   |   Christopher Mixter
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Research May 2026
... Access Insights Already a Gartner client? GenAI-driven computer vision is redefining automation and moving away from static analysis, impacting core operations and driving value across all industries. To avoid the risk of static vision tool obsolescence, product leaders must meet automation demands an ...

Analyst(s):   Laura Heath   |   Alizeh Khare   |   Gunjita Mundeja   |   Akhil Singh   |   Milly Xiang   |   Nick Ingelbrecht
Premium Research Jun 2024
... outcomes, measuring CIOs on productivity and business impact. This research gives CIOs insight on partnering to achieve business and operational outcomes in life science and, thus, expand their role. Analysis Next Steps Gartner Recommended Reading Gartner Research ...

Analyst(s):   Healthcare and Life Sciences Research Team
Premium Research Aug 2026
... As CAEs invest in AI training, many struggle to build sustainable capabilities. This research presents a practical framework for building AI and analytics capabilities across the audit function, supported by role-based learning paths, motivation mechanisms, and outcome measures. Insights at a Glance ...

Analyst(s):   Devanshu Mehrotra
Premium Research Oct 2026
... Three ongoing disruptions in enterprise software — the SaaSpocalypse, pace-layered architecture, and AIOps management — will derail current supply chain AI strategies. CSCOs should refine their supply chain AI strategy to navigate these disruptions and avoid unanticipated shocks. Insights at a Glance ...

Analyst(s):   Balaji Abbabatulla
Research Nov 2021
... a Gartner client? Survey results show increasing use of artificial intelligence and machine learning models in applications, but developers are just beginning to acquire ML skills. Software engineering leaders should plan for increasing use of AI and ML models, and encourage their developers to learn ...

Analyst(s):   Van Baker   |   Benoit Lheureux
Premium Research May 2026
... West’ era of unchecked AI spend is being reined in by leading organizations. A collaborative framework between Procurement, FinOps, and AI practices that dynamically manages AI models and metrics, optimizes consumption and aligns contracts is essential for economically sustainable AI. Insights at a Glance ...

Analyst(s):   Ang Troy   |   Stephen White
... employees Learn more about Gartner products for Legal & Compliance Leaders. Related Gartner resources Top 3 Strategic Priorities for General Counsel in 2026 Legal Department Workload Analysis Diagnostic Legal Department Strategy Toolkit ...
Research Aug 2025
... Research Already a Gartner client? The core challenge of scaling AI applications is the constant trade-off between cost and performance. To build high-performing yet cost-optimized AI applications, software engineering leaders should invest in AI gateways and model routing capabilities. Overview Strategic ...

Analyst(s):   Manjunath Bhat   |   Andrew Humphreys
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