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Research Jul 2026
... for AI infrastructure as a service will be shaped less by GPU access and more by proximity to enterprise data and integrated platforms. As inference becomes the dominant workload, hyperscalers will strengthen their advantage, while neoclouds focus on specialized training and high-performance AI workloads ...

Analyst(s):   Hardeep Singh
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Research Dec 2025
... Access Insights Already a Gartner client? Microsoft leads in enterprise AI through control of work surfaces, cloud, dev tools, model choice and growing Copilot/agent governance. However, the lead is conditional: strongest in Microsoft-heavy firms; rivals can catch up by owning workflows, neutral governance ...

Analyst(s):   Ed Anderson   |   Kevin Knox   |   Alastair Woolcock
Premium Research Mar 2026
... announced advancements to Slackbot that pivot Slack into an AI workhub for operational collaboration. However, Slackbot is a feature of Slack and is heavily dependent on Agentforce, making it less competitive compared to popular enterprise AI assistants. Overview Contributors Gartner Recommended Reading ...

Analyst(s):   Joe Mariano   |   Simon Whight   |   Jason Wong   |   Mike Gotta
Research Sep 2026
... Access Insights Already a Gartner client? The rapid rise of AI agents exposes organizations to severe operational and legal liabilities that traditional AI governance cannot address. Data and analytics leaders must shift their governance programs to adapt to the risks of “agency,” analyze the fragility ...

Analyst(s):   Yogesh Bhatt   |   Andrei Razvan Sachelarescu   |   Lauren Kornutick
Article February 12 2025
... General-purpose LLMs: Versatile models (e.g., GPT-4 Turbo) for content generation, summarization and conversational AI Domain-specific LLMs: Tailored for industry-specific applications (e.g., finance, healthcare) with specialized capabilities Performance metrics Combine industry benchmarks with custom evaluation metrics ...
Premium Research Aug 2026
... Data observability tools now incorporate AI capabilities that vendors describe as “agentic.” However, without a shared definition of the term, buyers cannot effectively compare these capabilities among vendors. Data architects should evaluate the autonomy of these capabilities and determine where human ...

Analyst(s):   Prudhvi Bade
Premium Research Sep 2026
... Board members on their approaches to automating activities across the source-to-pay (S2P) areas, focusing on the suppliers and platforms they use for AI-enabled innovation. Overview Summary of Results Survey Results Detail Gartner Insights Abstract ...

Analyst(s):   Consult the Board Research Team
Research Dec 2025
... Salesforce’s strong brand recognition, broad CRM footprint and beyond, AI and agentic innovation, unified data, scalable solutions, and large partner ecosystem make it the company to beat in the AI-enabled CRM and customer experience AI race. But AI is creating a unique window for competitors to catch up with ...

Analyst(s):   Kyle Davis   |   Ilona Hansen   |   Pri Rathnayake   |   Julian Poulter   |   Kyle Davis
Research Jul 2021
... Healthcare providers must adapt clinical and business capabilities to address customer needs and industry drivers. CIOs should adopt a digital health platform approach to optimize legacy data and applications, scale new capabilities, and deliver better user experiences and operational performance. Overview ...

Analyst(s):   Seth Feder   |   Mike Jones   |   Andrew Meyer   |   Pooja Singh
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