... Use of AI-ready data to support AI initiatives (including GenAI applications) requires evolutionary changes to data management and urgent upgrades to data architecture, platforms, skills and processes. D&A leaders can use this guide to successfully deliver AI use-case success through AI-ready data. ...
Analyst(s): Ehtisham Zaidi | Roxane Edjlali
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... CIOs and AI leaders need robust technology to enforce AI governance. Gartner’s updated AI trust, risk, and security management framework delivers the technical model needed to enable secure, reliable, and well-governed AI operations. Gartner Research ...
... showcases 11 high-value use cases of AI and generative AI in banking and investment services from the 2024 Gartner Eye on Innovation Awards for Financial Services. CIOs can advance business outcomes by studying how other financial institutions currently leverage AI innovation. Gartner Research ...
... Already a Gartner client? AI gateways enable more effective governance of AI applications and agents. They reduce the risk of unexpected costs from AI providers and protect private data in API traffic. Software engineering leaders can use AI gateways as a key component of a strong AI management layer. Overview ...
Analyst(s): Shrey Pasricha | Keith Guttridge | Andrew Humphreys | Manjunath Bhat | Deepak Seth
... The future of conversational AI platform success depends upon the implementation of generative AI technology as a core part of the revolution from novice-level understanding to superior intelligence. Product leaders must plan now to avoid competitive AI race threats and take advantage of transient opportunities ...
Analyst(s): Adrian Lee | Arup Roy | Gabriele Rigon
... environment, along with the emergence of generative AI and agentic AI, creates new urgency for AI leaders. It’s critical to align your AI priorities with the organization’s goals. Use these insights to pinpoint stakeholder needs and translate them into AI-driven results. Action Name Gartner Research ...
... Access Insights Already a Gartner client? As demand for AI applications and agents grows, gaps in oversight expose organizations to reliability, compliance and reputational risks. Software engineering leaders must drive responsible AI practices by educating their teams, adopting eval-driven development ...
... Access Insights Already a Gartner client? AI agent sprawl is rapidly becoming the biggest challenge for CIOs. Tech service leaders who deliver robust AI agent management platforms (AMPs) will help clients contain this sprawl and stake their claim to AI’s most valuable real estate: the central hub where ...
Analyst(s): Tom Coshow | Scott Frederick | Jim Hare
... The U.S. Administration’s July 2025 AI Action Plan enables innovation and AI literacy while removing guardrails that complicate governance and solution delivery. AI leaders should begin adjusting their AI strategies and governance plans to overcome imposed challenges and take advantage of new funding ...
Analyst(s): Mike Rollings | Moutusi Sau | Erick Brethenoux