... Access Insights Already a Gartner client? Cybersecurity leaders can use AI to improve compliance without major technology investments. This document presents seven practical quick wins that leverage existing AI capabilities to reduce manual effort, improve consistency and accelerate compliance activities ...
Analyst(s): Pedro Pablo Perea de Duenas | Rahul Balakrishnan
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... As AI capabilities advance, the core risk to R&D is not future autonomy, but loss of influence, expertise, and performance advantage due to outdated operating models. This research helps R&D leaders learn how to think about redesigning workflows, talent, and executive peer influence now as AI capabilities ...
... Access Insights Already a Gartner client? Supply chain leaders seeking to scale AI must move beyond automating tasks to redesigning how decisions are made. Mapping and optimizing decision loops creates the foundation for AI autonomy, stronger ROI and sustainable operating model transformation. Insights ...
Analyst(s): Steve Daugherty | Lindsay Azim | Julia Heyman
... business units independently deploy AI agents across functional silos, enterprises risk misaligned execution, uncontrolled token spending and ambiguous accountability. This research provides a framework for collective C-suite decision making that helps CIOs coordinate AI-driven actions across the enterprise ...
... Global disruptions make resilience vital. When crises hit, CPOs serve as the authoritative source of supply market intelligence. Using impact analysis and scenario planning, CPOs provide the data needed for war rooms to act faster, reduce impacts, and recover with a competitive advantage. Insights at ...
... Leading service providers are pivoting from “your mess for less” BPO to AI-powered business delivery hubs. To capture maximum value from these new agentic AI-powered BPO models, enterprise buyers must plan sourcing using outcome-based models and the BOT(T) framework. Insights at a Glance Strategic Planning ...
... Access Insights Already a Gartner client? Many agentic AI initiatives fail because they lack a trusted, accurate ontology. To establish the deterministic guardrails and context needed for trustworthy AI agents, D&A leaders need to build, automate, and govern ontologies. Insights at a Glance Strategic ...
... insights on emerging trends Heads of IT should pay heed to the G20 Innovation Ministerial, which has become a key forum for AI providers to proactively dispel myths and concerns about AI data centers. This research breaks down what’s actually true and what’s conveniently missing from the narratives being ...
Analyst(s): Mark Jaggers | Autumn Stanish | Henrique Cecci | Paul Wang