... Access Research Already a Gartner client? Shadow AI is a top security risk, cited by 57% of enterprise risk leaders. Software engineering leaders must shift from prohibition to enablement, using an engagement-based approach to balance security and productivity. Overview Introduction Analysis Gartner ...
Analyst(s): Shiva Varma
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... In July 2025, the U.S. administration published an AI Action Plan that favors innovation over guardrails and oversight. Cybersecurity leaders should start adapting their cybersecurity strategy to manage the risks and take advantage of the opportunities the Action Plan creates. More Detail Gartner Recommended ...
... Many executive leaders will need to turn AI experiments into hard cash in 2026. They can use a seven-step, data-driven filtering framework to winnow 150+ ideas into three to five high-value initiatives that reduce cost or grow revenue. Gartner Recommended Reading Gartner Research ...
Analyst(s): Hung LeHong | Mandi Bishop | Nate Suda
... AI capabilities are driving a shift to higher-velocity, microtargeted campaigns as the new standard. Demand generation leaders must act now to adapt their campaign planning and strategies to stay competitive and engage potential buyers in this evolving landscape. Overview Analysis Gartner Recommended ...
... contested by a mix of incumbent end-to-end vendors and aggressively positioned niche players. Rapidly evolving cyber risks and enterprise demand for AI governance will drive the market’s next growth phase. Overview Strategic Planning Assumption(s) Analysis Product or Portfolio Overview How This Provider ...
... CAEs recognize the need to adopt generative AI but often struggle to identify valuable and feasible use cases that put investments at risk. These insights offer a clear, step-by-step framework to help identify, prioritize and pilot GenAI use cases in audit. Gartner Recommended Reading Gartner Research ...
... CSCOs and their supply chains face pressure to reduce costs, but limited visibility into cost hinders reduction. To address this, Unilever developed an AI-enabled cost-to-serve tool that proactively spots savings opportunities and recommends targeted actions to reduce expenses. Case Overview Gartner Recommended ...
Analyst(s): Benjamin Jury | Ankur Mehta | Olivia Marino
... Poorly named datasets create confusion and generate errors. This research describes naming conventions for datasets that support AI use cases, engineering use cases and user-facing programs such as data literacy and data governance. Technical professionals should use these conventions. Overview Analysis ...
... CHROs must address the human implications of AI, building towards a future of work that embraces technology while improving the employee experience. Author Brian Evergreen joins the Talent Angle to share how organizations can navigate a complex digital and economic landscape. Overview About the Guest ...
Analyst(s): Alex Chertoff | Kelly Armstrong | Caroline Ogawa