... Access Insights Already a Gartner client? Siemens’ strong product engineering and manufacturing operations from its extensive industrial assets and centralized data platform, as well as its acquisitions, make it the company to beat in manufacturing AI. Competitors can catch up with open data platforms ...
Analyst(s): Sudip Pattanayak | Scot Kim
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... 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 gover ...
Analyst(s): Ed Anderson | Kevin Knox | Alastair Woolcock
... Access Insights Already a Gartner client? 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 creatin ...
Analyst(s): Kyle Davis | Ilona Hansen | Pri Rathnayake | Julian Poulter | Kyle Davis
... Access Insights Already a Gartner client? IT SPVM leaders should drive an enterprise‑aligned IT vendor risk program, coordinating key stakeholders to reduce risk and boost value. Embedding risk‑sensing, life cycle monitoring, and aligned response planning strengthens resilience and role impact. Analysis ...
... Access Research Already a Gartner client? On-premises AI deployments have specific challenges like purchase time frames, use case selection, power/cooling levels, and I&O skills requirements. The heads of I&O will need to lead their teams using the solutions provided in this document to overcome these ...
... Adapting data center infrastructure, such as power, cooling and space for AI workloads, is costly and complex to calculate. I&O professionals estimating build costs by location and tier for demanding workloads should download this tool to support their data center transformation initiatives. Overview ...
... Matters Blind Spots What’s Around the Corner Questions You Should Be Asking Gartner’s Positions Your Journey as a Head of IT Sourcing, Procurement and/or Vendor Management Gartner Insights Abstract ...
... Access Insights Already a Gartner client? Hyper-synthetic data (HSD) is central to the AI race, transforming AI training, forecasting and data analysis by overcoming real data’s shortcomings. Product leaders relying solely on real data will struggle against competitors using HSD to improve AI models, ...
... Access Insights Already a Gartner client? AI infrastructure investment is surging, characterized by a precautionary principle that costs of potential undercapacity are viewed as far greater than the risks of overinvestment. Product leaders must understand the warning signs and prepare for the risk of ...