... a Gartner client? As organizations implement AI at work, the burden is on HR to drive employee adoption and performance. CHROs can use this research to reframe the organization’s approach to AI deployment, ensuring the organization’s race to implement AI doesn’t come at the cost of impact. Gartner Research ...
Analyst(s): Shayla Combs
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... Gartner First Takes Fresh insights on emerging trends This Prism plots 15 of the most prominent AI use cases for quality management against business value and feasibility. Quality and technology leaders can use this Prism to inform their investment strategies based on maturity and business impact. Gartner ...
... Insights Already a Gartner client? Managers are in a position to drive their teams’ effective usage of AI, but lack preparation and resources to do so. CHROs must activate managers to support the integration of AI into work. Insights at a Glance Impact Brief Actions and Cautions How to Execute Success Measures ...
... right AI technology as a top challenge. However, waiting for the perfect conditions can delay AI initiatives and their benefits. Successful organizations partner with vendors to experiment and learn. Integrate talent with AI, rather than simply adding AI to existing processes. True value from AI comes ...
... Interest in AI agents and agentic AI is high among manufacturing enterprises, but there is some confusion about the difference between these two terms and how they are applied. Agentic AI is simply the practice of using one or more agents. This report will explain the terms and give manufacturing examples ...
... Access Insights Already a Gartner client? AI-driven transparency and automation will reshape contracts, pricing models, talent strategies, and vendor management. IT SPVM leaders need to build effective human-AI collaboration for AI and adopt advanced risk management practices to be trusted advisors. ...
Analyst(s): Ben Jepson | Justin Galentine | Jo Liversidge | DD Mishra | Ryuichi Tsuchiya | Jaswant Kalay | Dawn Singer
... strategies to fully exploit DSML platforms, focusing on AI model delivery across the enterprise. These platforms, now defined as AI platforms for DSML, can accommodate a diverse set of capabilities, enhancing collaboration and innovation in AI initiatives. Insights at a Glance Issue Context Impact Brief ...
... AI has changed knowledge management. Use this infographic to visualize how knowledge gets created, organized, and shared in a holistic, AI-enabled system. Diagnose the pain points in your own knowledge management system and identify the combination of AI tools and human capabilities that you need to ...
Analyst(s): Kim Hedlin | Jennifer MacIntosh | Patrick Quinlan
... AI leaders must take five steps to help assure safe, secure and more reliable AI agent outcomes, including discovery, identity access management, information governance, systematic agent oversight, and ongoing evaluation and governance. Building AI agents on top of a sound technical foundation is essential ...
Analyst(s): Carlton Sapp | Max Goss | Avivah Litan