... banking CIOs plan to deploy AI agents within the next year, despite legacy systems, data gaps, and compliance hurdles. This research highlights innovations involving foundational capabilities in data quality, workflow automation, and agentic commerce to guide CIOs’ agentic AI strategies. Insights at a ...
Analyst(s): Debbie Buckland | Derek Frost | Peter Ryan | Van To | Sudarshana Bhattacharya
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.
... AI agent identity addresses a critical accountability trust gap in legacy security stacks. To safely scale AI, CIOs must adopt a dynamic composite identity model that continuously correlates each agent’s runtime intent, purpose, behavior and context at machine speed. Overview Strategic Planning Assumptions ...
... For tech CEOs, the path to agentic AI product success is targeting exception-heavy business processes with bounded, human-in-the-loop agents that eliminate the constant manual remediation these workflows generate. This enables customers to scale these workflows infinitely at near-zero marginal cost. ...
Analyst(s): Mark Wesker | Elisabeth Torres-Schulte
... Gartner First Takes Fresh insights on emerging trends IT procurement leaders must reduce exposure to AI supplier disruptions by mitigating concentration risk and preparing rapid migration plans. A recent U.S. federal court decision appears to restore a path to doing business with Anthropic, but broader ...
Analyst(s): Charity Hooper | Dawn Singer | Elisabeth Glass
... Access Insights Already a Gartner client? Optimizing AI coding agent costs requires reducing token waste within engineering workflows rather than relying on vendor negotiations and spending limits. Software engineering leaders should use token reduction tools as a quick win within a broader token optimization ...
... supply chain organizations have visibility into performance outcomes, but not the decentralized decisions that create them. This research explores how AI-enabled decision visibility helps supply chain strategy leaders identify cross-functional trade-offs, improve alignment and detect strategic risks before ...
... Access Insights Already a Gartner client? The gap between AI investment and realized value remains stubbornly wide. CIOs can use the Reimagine Workshop to bring business and technology teams together to rethink how work is executed and where value is created, uncovering opportunities that go beyond productivity ...
Analyst(s): Janelle Hill | Ayca Moseley | Hung LeHong | Alicia Mullery | Kabeh Vaziri | Eyad Tachwali | Nick Reddall | Caroline Hewings
... Insights Already a Gartner client? Data availability and quality remain critical barriers to scaling AI. To ensure AI success, D&A leaders must urgently prioritize foundational investments and evolve their AI-ready data and analytics architectures for emerging use cases. Why This Matters Blind Spots What’ ...
... Insights Already a Gartner client? Many supply chain AI failures originate in sourcing decisions. Organizations often procure AI before validating data readiness, accountability and supporting data services. Heads of IT procurement can improve AI value realization through readiness-based sourcing, investment ...
Analyst(s): Mark Whitehouse | Vas Plessas | Katarzyna Fonteyn