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Premium Research Sep 2026
... Unstructured data quality issues — such as fragmented metadata, inconsistent semantics, ROT, and data/model drift — all limit AI scalability. Address quality issues by improving governance, enriching metadata, early assessment of source quality, reusing existing content practices and strengthening cross-functional ...

Analyst(s):   Jason Medd
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Premium Research Oct 2026
... complicates choices. These insights help infrastructure platform engineers pick the right Kubernetes tools for three AI use cases: data preprocessing, model experimentation, and real-time inference and serving. Overview Strategic Planning Assumption(s) Analysis Recommendations Conclusion Gartner Recommended ...

Analyst(s):   Bhuvie Chhabra
Premium Research Aug 2026
... expand HR delivery options, CHROs need a new decision sequence for global and local decisions. To maximize HR’s impact and determine the right delivery model, start with organizational outcomes and the work that drives them. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading Gartner ...

Analyst(s):   Oreoluwa George-Taylor
Research Jan 2026
... centric operating models and DevOps ways of working, along with the proliferation of generative AI and now agentic AI are creating a rate of change that renders conventional, centralized support models obsolete. Heads of I&O must transition to an AI-driven service enablement model with centralized governance ...

Analyst(s):   Julian Edwards   |   Chris Laske
Webinar On-Demand
... Apply financial controls such as token limits and context optimization to contain unpredictable expenses •Assess alternative technical architectures or model choices that reduce dependency on single-vendor solutions OpenAI’s recent pricing changes have exposed enterprises to unpredictable, and potentially ...

Analyst(s):   Melanie Alexander   |   Nauman Abbasi
Research April 19 2018
... Analysts: Jack Santos, Betsy Burton, Marcus Blosch, Saul Brand, James McGovern Your enterprise bases its business strategy on data-driven business models and digital platforms, and requires a world-class EA discipline to: Proactively lead the enterprise's responses to disruptive forces Identify technology-enabled ...
Article May 19 2026
... changes The cybersecurity landscape keeps shifting — from GenAI to new regulations. Update your narrative on an ongoing basis to reflect emerging threats and opportunities. Use business-aligned metrics and stories to keep executives engaged and invested in security’s role as a value driver. How to embed ...
Conference March 8 - 10
... Intelligence Unleashed: The Fast Track to Enduring Value. AI is driving rapid change, but lasting business value comes from strong data, governance, operating models, and technology foundations. Join Gartner Data & Analytics Summit 2027 to explore AI, data and analytics strategies that deliver measurable results ...
... Engineering Agents and Polyfunctional Robots. Model & Agentic Features the current frontrunners in AI LLM Models, Agentic AI Platforms, Agentic Orchestration Platforms, AI Agent Governance, Intelligent Universal Search (IUS) and Enabling AI Domain-Specific Language Models. Cybersecurity Features the current frontrunners ...
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