... making with human oversight can balance risk and productivity. Human guardians must establish trust, safety, and accountability in automated workflows and AI-driven decisions to safeguard enterprise value. Insights at a Glance Issue Impact Implications Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Jorg Heizenberg
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... CAEs should look beyond prompt writing and develop auditors’ ability to identify when AI misinterprets a task, challenge weak reasoning, correct or add relevant information and decide whether outputs can inform the audit. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading Gartner ...
... Access Insights Already a Gartner client? Agentic AI may not eat SaaS’s lunch, but it will steal its milk money. As agentic AI matures, the impact to megavendor SaaS is not the architectural decomposition of software and business logic; it is agentic-enabled SaaS arbitrage and disintermediation that ...
Analyst(s): Eric Goodness | Mike Tucciarone | John Santoro | George Brocklehurst
... client? Heads of I&O must shift from simple AI assistance to governed autonomy, preventing poor agent outcomes and cascading service disruptions. Build robust runtime guardrails, prospective governance, and a restructured IT operating model to scale agentic AI. Why This Matters Blind Spots What’s Around ...
Analyst(s): Nathan Hill | Joe Antelmi | Michael Wodka
... MoU between JERA, Dell Technologies and RHAELM signals the emergence of gigawatt-scale AI compute infrastructure in Japan. CIOs should use this shift to redefine their enterprises and operating models for scalable, AI-driven business, identify the business flywheels they need to build, and determine the ...
... Retail volatility is increasingly driven by localized and unpredictable disruptions that traditional forecasting cannot fully anticipate. While AI will not predict the future with certainty, it can continuously generate, evaluate and operationalize business scenarios before disruptions occur. Retail ...
... Most CIOs are not pursuing a single AI ambition across IT. Use our data from 300 CIOs to see where peers are going AI-first, opportunistic or cautious,and what drives their decisions, and to guide your own AI ambitions and investments. Insights at a Glance Issue Impact More Detail Contributors Gartner ...
... The urgent need for AI-ready data is creating new demands on D&A leaders. AI-ready data is contextual to the AI use case and technique, necessitating the evolution of data management practices. D&A leaders must prove data readiness and adapt their practices to meet new business expectations. However, ...