... The integration of GenAI into analytics and BI platforms is piquing organizational interest. Yet, the realistic value and expectations of this emerging tech require evaluation. This analysis aids data and analytics technical professionals in understanding its application, opportunities and risks. Ove ...
Analyst(s): Christopher Long
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... Analytics silos create isolated insights, undermining trust and consistency. Semantic layers are a key component to unify data across increasingly diverse use cases. Analytics specialists must evolve their approach to semantic layer architecture to ensure seamless integration and reliable insights. O ...
... insufficient in the face of AI-driven change. AI is widely seen as a lever for efficiency, productivity and cost reduction. As organizations accelerate investment — with 88% planning to increase AI spending — expectations for workforce savings are rising alongside it. However, AI is not reducing workforce ...
... AI has become an enterprise economic system. Without one role unifying demand, sourcing, cost and value, AI spend will fragment, risks will spike and ROI will collapse. CIOs must establish an AI value orchestrator now to ensure strategic governance and maximize AI investments. Insights at a Glance Strategic ...
Analyst(s): Sundar Viswanathan | Hannah Decker | Stephen White
... date on the latest developments in AI for software engineering and their implications for your organization. In the AI briefing for May 2026, learn about the new phenomena of tokenmaxxing, the controversial take that AI will require more developers and the rise of the AI software factory. Analysis Research ...
Analyst(s): Dave Micko | Philip Walsh | Bill Blosen
... AIBOMs are the core system of record for AI supply chain data. Software engineering leaders can use AIBOMs to improve trust and transparency in AI supply chains by gaining visibility into technology components such as AI models, datasets, infrastructure and related AI dependencies. Overview Introduction ...
Analyst(s): Manjunath Bhat | Angela Zhao | Aaron Lord
... LLMs face capability limitations and unpredictable costs. To achieve successful AI-driven transformation, heads of EA must lead their organizations beyond LLM-based agents and implement agentic systems enabled by composite AI. Strategic Planning Assumptions Gartner Recommended Reading Gartner Insights Abstract ...
... ServiceNow is further advancing its strategic shift toward enterprise-level governance for autonomous AI, with additional investments made to help organizations orchestrate, manage and audit AI agents alongside human teams, enabling more consistent control across complex, multivendor environments. Gartner ...
... Access Insights Already a Gartner client? “Black-box” AI product development increases client exposure to operational failures, regulatory penalties and erosion of client trust. Addressing black-box pitfalls is crucial to broad market adoption of agentic AI capabilities in cyber-physical system environments ...