... are running ahead with the objective of being AI-first, and software vendors across all markets are delivering agentic AI capabilities. However, D&A leaders must ensure that enterprise data and data management practices are capable of supporting agentic AI requirements, including evaluating agents for ...
Analyst(s): Mark Beyer | Ehtisham Zaidi | Roxane Edjlali | Adam Ronthal
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... Enterprise AI strategies define what the organization wants to achieve. I&O adoption strategies define how AI workloads will be supported, managed and operated. Without that foundation, organizations struggle to scale AI reliably and cost-effectively. Insights at a Glance Strategic Planning Assumption ...
... While data, analytics and AI leaders race to deploy agentic AI, few can answer a fundamental question: What does it actually cost? Use this framework to track costs beyond tokens and avoid AI budget surprises. Insights at a Glance Strategic Planning Assumptions Issue Impact Implications Contributors ...
... Gartner client? CFOs struggle to move from isolated AI use cases to coordinated execution across finance. They must execute a finance AI roadmap incorporating talent, data, and technology to avoid fragmented efforts and establish the foundations to scale AI. Analysis Research Highlights Gartner Recommended ...
... As AI literacy demands grow, L&D leaders struggle to navigate content provider types, delivery models, and support for an AI-ready workforce. This research provides best practices for evaluating and purchasing AI upskilling content. Insights at a Glance Strategic Planning Assumption Issue Impact More ...
Analyst(s): Will Brown | Liz Caffarelli | Brittney Ermatinger | Gladys Yeo
... Software engineering leaders are already facing rising AI bills, and costs will only rise as consumption-based pricing replaces flat-fee models. Build AI FinOps capabilities to control large language model spending, maximize ROI, and scale AI sustainably. Insights at a Glance Strategic Planning Assumption ...
... Rapid AI integration is putting pressure on current data governance practices to effectively manage AI-driven risks. CAEs must assess AI’s impact on data management, privacy and quality to adjust data governance activities and ensure adequate coverage over these emerging risks. Insights at a Glance ...
... Access Insights Already a Gartner client? AI agents should be approached as a targeted capability rather than a universal solution. This research can help AI leaders answer the key questions on selecting use cases and technologies and getting started on their AI agent journey. Insights at a Glance Analysis ...
Analyst(s): Avivah Litan | Haritha Khandabattu | Ben Yan | Pieter den Hamer | Leinar Ramos | Erick Brethenoux | Tom Coshow | Anthony Mullen | Gabriele Rigon | Arun Chandrasekaran | Tong Zhang
... products must incorporate preemptive cybersecurity strategies in light of Gold Eagle, the U.S. government’s new AI-enabled cybersecurity initiative. Along with recent attacks from escaped AI agents, it serves as a firm reminder that frontier AI models make stand-alone, reactive security approaches obsolete ...
Analyst(s): Matt Milone | Evan Zeng | Mark Wah | Charanpal Bhogal | Carl Manion | David Senf | Travis Lee | Luis Castillo