... Access Insights Already a Gartner client? Waiting to manage IT vendors until after contracting increases risks. Heads of IT procurement must maximize value by managing vendors from initial engagement through vendor retirement to drive innovation, performance and early risk mitigation. Insights at a Gla ...
Analyst(s): Brett Sparks | Dawn Singer | Joanne Spencer | James Smith
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... Scaling AI engineering requires building capabilities across data, models, GenAI systems, agents, and application delivery. Use this model to assess your current maturity in AI engineering and prioritize actions and investments to improve. Insights at a Glance Advance AI Engineering from Experimentation ...
Analyst(s): Keith Holloway | Pamela Katz | Pieter den Hamer
... Access Insights Already a Gartner client? Data centers are long-term investments, and managers must ensure flexibility in data center infrastructure designs to accommodate evolving technologies, including quantum computing and diverse cooling systems, while avoiding overinvestment in a single area tha ...
... Access Insights Already a Gartner client? A robust AI operating model is the foundation for driving AI’s business impact at scale. CIOs and AI leaders must architect and regularly evaluate and evolve their models to be on track for enterprisewide transformation. Analysis Research Highlights Gartner Recommended ...
Analyst(s): Svetlana Sicular | Rajesh Kandaswamy | Pieter den Hamer
... AWS and NVIDIA’s expanded partnership as a clear signal of sustained AI infrastructure demand, even as the industry grapples with ROI concerns. The deal strengthens AWS’s national role, validates NVIDIA’s technologies, and establishes AI as critical infrastructure. Overview Analysis Gartner Recommended ...
... 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
... depend on is ready. Enterprise application leaders must harden execution, governance, and accountability across CRM automation before scaling agentic AI. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Adam Briggs | Arthur Villa | Ilona Hansen | Mike Levisay
... 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
... Gartner First Takes Fresh insights on emerging trends Software engineering leaders should pilot Slack Code to bring AI coding into shared Slack channels if they already use Slack with a partner agent, but should hold off if major platform changes are in the works. Overview Analysis Gartner Recommended ...