... Gartner First Takes Fresh insights on emerging trends DeepSeek continues to pursue new opportunities for AI model improvements based on its own research agenda, largely free from monetization pressures. While this approach results in impressive innovations and advanced language models, DeepSeek has yet ...
Analyst(s): Arnold Gao | Ben Yan
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... software code generation and enterprise solutions via its Claude family of models. CIOs should see Anthropic as a top-tier model provider, especially when AI safety is prioritized. ...
Analyst(s): Arun Batchu | Mark Driver | Ray Valdes
... client? AI experimentation requires workflows that support nonlinear discovery, structured deployment, and continuous testing. This research offers D&A leaders a framework to enable faster AI deployment, reduce risk, and improve ROI with a structured approach to experimentation throughout the AI life cycle ...
Analyst(s): Alexander Linden | Carlie Idoine | Priya Sundararaman
... client? As organizations in China build custom AI applications, application security testing needs to evolve and integrate AI-oriented adversarial testing. This research note offers Chinese CIOs and their security teams a practical guide to security testing for AI systems. Overview Strategic Planning Assumption ...
... Access Insights Already a Gartner client? With AI projects multiplying and spending accelerating, CFOs struggle to balance innovation with financial discipline. This paper introduces reverse income statement analysis to test financial feasibility with real-world AI use-case examples to guide smarter capital ...
... Research Already a Gartner client? AI fatigue slows AI adoption and undermines the business value of AI investments. CIOs and other innovation leaders should implement human-centric change management strategies to overcome AI fatigue and realize greater value from their AI initiatives. Gartner Research ...
... Insights Already a Gartner client? AI spending will grow by 44% in 2026, driven by the demand to build out AI infrastructure and the vendor race to reach customers. The long-term realization of outcomes from new use cases and readiness to scale across infrastructure, AI products and humans will grow spending ...
Analyst(s): Naresh Singh | Colleen Graham | Amarendra . | Shailendra Upadhyay | Jon Erensen | Peter Middleton | Kay Arnott | Ranjit Atwal | Adrian O'Connell | Arunasree Cheparthi | Hardeep Singh
... rapidly advancing from AI experimentation to scaled AI adoption, using generative AI, agentic AI, and predictive automation to transform business operations and customer experience. This note unpacks the first segment of the emerging technology adoption radar 2026, focusing on the “AI-powered enterprise. ...