... AI can enhance processes across the finance function, but prioritizing the right use cases is difficult. CFOs should use this assessment of the value and feasibility of common extensible (multi-use) use cases to set their AI pilot selection strategy. Overview How to Use Use-Case Scoring Breakdown Gartner ...
Analyst(s): Grace Gstalder | Marco Steecker | Alex Levine | Ash Mehta
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... AI agents pose a new governance challenge. This tool offers key elements for creating a code of conduct for AI agents and humans as a governance framework to set ground rules. It helps CIOs and AI leaders ensure agent behavior aligns with organizational policies, values and industry specifics. When to ...
... insights on emerging trends Meta’s $2 billion Manus acquisition advances its AI vertical integration from data infrastructure to application, creating the first credible end-to-end AI agent stack. This marks a major shift in the AI landscape, moving the focus from foundation models to agent platforms. Rivals ...
... According to Gartner research, B2B tech demand generation leaders are applying AI, including generative AI, across an average of five use cases. However, this adoption is often due to executive pressure. This research explores AI use cases for demand generation and how they should be prioritized. Insights ...
... face a pivotal choice: the strategies they set for chips, infrastructure, models, data and applications across the entire technology stack for scaling AI will either drive competitive advantage or leave the firm at status quo. Insights at a Glance Strategic Planning Assumptions Issue Context Impact Brief ...
... Sales organizations are seeking ways to increase productivity, but the rise of agentic AI makes it harder to identify and prioritize use cases. Sales operations leaders can use this toolkit to efficiently evaluate and select practical use cases aligned with Gartner seller time spend diagnostic data. ...
Analyst(s): Bill Yetman | Dan Gottlieb | Adnan Zijadic | Daniel Hawkyard
... Agentic AI optimizes data management through adaptive, self-learning systems that increase operational efficiency and enhance overall enterprise performance. By integrating AI agents, data engineers can automate their current data management processes, increase productivity, and focus on strategic initiatives ...
... Access Insights Already a Gartner client? AI is dismantling the traditional IT services pyramid-shaped delivery structure. As AI-driven platforms automate junior-level work, a diamond-shaped structure will evolve and drive versatility, orchestration, and continuous reinvention. Insights at a Glance ...
... Already a Gartner client? The emergence of AI challenges traditional I&O sourcing models, where cost and labor arbitrage were key. Heads of I&O can use this three-step guide to strategically reevaluate outsourced labor that performs routine, repetitive tasks, as AI makes insourcing viable and potentially ...