... nondeterminism in GenAI and agentic AI applications makes it difficult to measure and improve reliability and earn user trust. Software engineering leaders must invest in AI evaluation and observability platforms that bring rigor and repeatability to testing business-critical AI applications. Overview Strategic ...
Analyst(s): Wilco van Ginkel | Manjunath Bhat | Alex Coqueiro
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... client? AI adoption is often fragmented, limiting value realization and increasing risk due to siloed pilot efforts. Heads of EA must establish an enterprisewide knowledge management frameworks to capture and share lessons learned from both successes and failures, ensuring coordinated, scalable AI adoption ...
Analyst(s): Mehak Kaur | Andrei Razvan Sachelarescu
... operations from its extensive industrial assets and centralized data platform, as well as its acquisitions, make it the company to beat in manufacturing AI. Competitors can catch up with open data platforms and agentic-ready tools. Overview Analysis Gartner Recommended Reading Evolving Insights History ...
... Access Insights Already a Gartner client? Microsoft leads in enterprise AI through control of work surfaces, cloud, dev tools, model choice and growing Copilot/agent governance. However, the lead is conditional: strongest in Microsoft-heavy firms; rivals can catch up by owning workflows, neutral governance ...
Analyst(s): Ed Anderson | Kevin Knox | Alastair Woolcock
... This document provides strategic guidance for healthcare and life science CIOs to overcome challenges in AI implementation and maximize value through improved data literacy, modernized infrastructure, and trust-building measures. Gartner Insights Abstract ...
... transformation to an AI-native solution architecture and unified data platform, along with its commitment to execution, makes it the company to beat in the communications service provider business support systems AI race. Competitors that accelerate truly autonomous agent and AI-native system development ...
Analyst(s): Will Rice | Kameron Chao | Pulkit Pandey
... CIOs will need new management paradigms for AI agents, blending human and machine oversight and treating them as a distinct, continuously operating resource. CIOs must align agent use with the company’s strategy, train IT employees to manage agents, and foster trust through regular communication. Gartner ...
... In response to the demand for AI-powered capabilities, software engineering leaders are seeking tools that enable their teams to build and manage AI agents. Enterprise low-code application platforms offer the quickest and safest path for implementing custom AI agents. Gartner Research ...
Analyst(s): Akash Jain | Kyle Davis | Oleksandr Matvitskyy
... pilots to governed and autonomous execution, improving speed, lowering cost, and enabling new AI-driven growth. Product leaders must unify design, runtime, and verification to frame the future of enterprise AI architecture. Overview Analysis Background and Context Gartner Recommended Reading Notes Gartner ...
Analyst(s): Vuk Janosevic | Tom Coshow | Eric Goodness | Raymond Paquet