... Already a Gartner client? Growth in the AI services market will shift from AI-first offerings to AI-enhanced offerings throughout the portfolio by 2030 as embedded functionality becomes standard. Service providers must help clients to achieve outcomes from AI projects to justify future investment. What ...
Analyst(s): Kay Arnott
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... Access Insights Already a Gartner client? As AI changes work, many organizations invest in AI training but fail to create the workforce conditions needed to realize value from AI. This research shows CHROs how to build a workforce enablement framework for AI that drives adoption, application, and adaptation ...
Analyst(s): Duncan Harris | Liz Caffarelli | Julia McDowell
... Technology and AI leaders are increasingly asking the question: Can AI agents orchestrate complex business processes? The answer is more nuanced than vendors would have you believe. This research offers guidance on what leaders should be considering. Insights at a Glance Issue Impact Implications Gartner ...
... Organizations increasingly recognize that AI agents should be managed as technology rather than employees. Use this research to establish the capabilities needed to monitor, govern and continuously improve AI agents at scale through three complementary management disciplines. Insights at a Glance Issue ...
Analyst(s): Kathy Ross | Daniel O'Sullivan | Emily Potosky | Matt Allen
... costly AI missteps with structured sales enablement The company Large Manufacturing Organization Function Sales Size $6B+ revenue The challenges Improving seller efficiency and automating manual tasks with AI No formal sales enablement function or supporting data capabilities Guidance on current AI maturity ...
... Client Story Refining GTM Strategy To Successfully Pivot To AI & Data Services See how DataArt's CMO leveraged Gartner's analyst insights and tools to navigate AI disruption, pivot to data services, and achieve above-market-average growth in revenue. Learn how Scott Rayburn, CMO at DataArt, partnered ...
... Agentic AI systems introduce new and complex operational and security risks stemming from their autonomous nature and extensive access to tools and data. This tool helps data and analytics leaders identify, assess, and mitigate those risks so that they can deploy AI agents with greater confidence. When ...
Analyst(s): Lauren Kornutick | Ray Collins | Claire Song | Diarmuid Curran
... Complex AI governance slows down security teams and frustrates staff. When facing slow security reviews, they bypass security entirely, driving risky shadow AI. This template helps CISOs scale security quickly while keeping enterprise data and systems safe. Insights at a Glance Strategic Planning Assumption ...
Analyst(s): Victoria Cason | Oscar Isaka | Leigh McMullen | Bart Willemsen | Meghan Hollis
... AI Cybersecurity Leadership: 5 Steps to Secure Enterprise Innovation Empower your cybersecurity team to drive AI innovation without exposing your enterprise to new risks. By AI and Cybersecurity Insights Team | May 7, 2026 Adapt cybersecurity strategies for AI to protect enterprise ambitions AI is reshaping ...