... extract value from AI, but AI leaders that exceed their CEOs’ expectations for business outcomes exhibit certain practices in team structure, business trust, metrics and portfolio management. CIOs must evaluate these practices for adoption to strengthen their organization’s capabilities for AI. Overview Data ...
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... World models are gaining attention for their potential to enhance AI agents, which demand adaptive simulation capabilities to more efficiently interact with complex, dynamic environments. Our insights will help AI leaders understand the technical landscape, top use cases and risks associated with this ...
... GenAI and agentic AI adoption is reshaping banking and expanding cybersecurity risk surface. This guide helps bank CIOs embed security into GenAI and agentic AI design and development by aligning engineering practices using principles like least privilege, guardrails and supply chain oversight. Analysis ...
... Hallucination mitigation is a “must have” to unlock the full potential of generative AI. Product leaders who build design patterns into agent workflows can minimize risks and will set themselves apart by delivering more dependable AI, thereby establishing a strong competitive advantage. Overview Strategic Planning ...
... Many organizations struggle to achieve AI maturity due to unclear plans and misaligned objectives. Aligning AI strategy with business goals and investing in skills, change management and data enable CIOs and AI leaders to drive measurable AI impact. Analysis Research Highlights Gartner Recommended Reading ...
... Access Research Already a Gartner client? The AI code assistants landscape in software engineering is transforming rapidly. Software engineering leaders can use this report to evaluate five vendors that deliver key benefits: context-aware productivity, customizable open-source assistants, precise code ...
Analyst(s): Nitish Tyagi | Arun Batchu | Jim Scheibmeir | Deacon D.K Wan
... Access Research Already a Gartner client? Physical AI is the next frontier of the AI race, capable of driving transformative value by bridging the gap between the digital and physical worlds. Product leaders must invest in real-time, multisensory capabilities to gain a first-mover advantage in the increasingly ...
... Current AI agents cannot handle enough actions to implement complex workflows. Multiagent systems break through this limit but introduce new challenges. Understanding this constraint will help AI leaders plan effective agent deployments and manage expectations for automation potential. Gartner Research ...
... Access Research Already a Gartner client? Agentic AI will enable new autonomous workflows beyond CI/CD, transforming DevOps roles and pipelines. Engineering leaders must adapt teams and toolchains for heightened automation and enhanced cross-SDLC collaboration. Overview Strategic Planning Assumption ...
Analyst(s): Manjunath Bhat | Thomas Murphy | Keith Mann