... Physical AI is advancing fast, blurring digital and real-world boundaries. CIOs and other IT leaders must rely on partners to manage new kinetic risks, ensure compliance, and safely deploy autonomous systems to address labor shortages and enable growth without increasing headcount. Gartner Recommended ...
Analyst(s): Katie Gove | Jonathan Davenport | Marty Resnick
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... As AI agents slide into Gartner’s Trough of Disillusionment, it is essential that tech service leaders present easily understood examples of AI agents that are in production and delivering meaningful value. With so many POCs failing to make it to production skepticism is running high; examples of proven ...
... Access Insights Already a Gartner client? Agentic AI will redefine enterprise execution, advancing AI from task support to measurable, outcome-driven automation within core operations. Agentic AI software spend is projected to reach $985 billion by 2030, growing at a 62.7% CAGR from 2025 to 2030 as enterprises ...
Analyst(s): Amarendra . | Kay Arnott | John Lovelock | Arunasree Cheparthi
... rapidly mature their AI governance to manage legal and compliance risks. General counsel must focus on three tasks — incorporating enterprise value into AI governance business cases, establishing a risk-tiered AI governance model, and clarifying AI roles and responsibilities — to drive AI governance maturity ...
... communication, and payment. CFOs should reference this implementation guide to support leaders and teams as they assess, pilot, and operationalize this AI use case. Contributors Gartner Recommended Reading ...
Analyst(s): Alex Levine | Marco Steecker | Twisha Sharma | Ash Mehta
... Access Insights Already a Gartner client? CIOs, CTOs and software engineering leaders should use this guide to systematically design, pilot, and scale AI applications, assistants and agents, addressing challenges in architecture, team skills, and leadership buy-in to deliver measurable business value. ...
Analyst(s): Alex Coqueiro | Nitish Tyagi | Dave Micko | Tigran Egiazarov | Philip Walsh | Shiva Varma
... CIOs and other leaders of innovation must adopt an AI-first culture to drive innovation, or their AI ambitions will fail. This approach augments employees with proactive intelligence, supports AI literacy, AI-embedded data-driven decisions, and aligns AI initiatives with business outcomes. Insights at a ...
Analyst(s): Alan D. Duncan | Gunjita Mundeja | Shanna Grafeld | Tsuneo Fujiwara
... Gartner client? Generative AI — and increasingly, agentic AI — is reinventing how software is planned, built, tested and operated. Software engineering leaders need a structured approach to turn experimentation into measurable productivity and business value or risk failing on AI adoption returns. This roadmap ...
Analyst(s): Tigran Egiazarov | Bill Blosen | Neha Agarwal | Philip Walsh
... Pipeline Flow: Pre-flight Checks Pipeline Flow: Release Readiness Pipeline Flow: Production Environments CRM AI DevOps: Plan CRM AI DevOps: Build CRM AI DevOps: Test CRM AI DevOps: Deploy CRM AI DevOps: Observe CRM Source and Safety Key Architecture Principles and Patterns Key Architecture Recommendations ...