... Recommended Reading Note 1: Exchange Rate and Constant Currency Note 2: Key Trends in AI Model Development Note 3: Hyperscale AI Statements on Their Infrastructure Investments and Revenues Note: Official Revenue Statements of Top AI Model Providers and Other GPUaaS Providers Gartner Insights Abstract ...
Analyst(s): Naresh Singh
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... The generative AI market is booming, predominantly led by cloud hyperscalers’ public cloud offerings. However, with a targeted DeepSeek-based strategy, AI product managers can build a profitable on-premises AI business. Overview Strategic Planning Assumption Introduction Analysis Gartner Recommended ...
... Access Research Already a Gartner client? AI security needs are becoming complex due to the associated newer risks, deeming traditional security insufficient. By investing in or scaling into AI security capabilities, security solutions providers can maintain relevance and position themselves for growth ...
... Access Insights Already a Gartner client? AI-optimized servers are expected to account for 3.7 million units in new sales in 2029 and $461 billion in end-user spending, representing a spending CAGR of 26.9% from 2024 through 2029. The focus on AI capacity will outweigh any impacts from tariffs or geopolitical ...
... Access Research Already a Gartner client? Mainframes are a compliance fortress for AI in regulated sectors. IBM is positioning mainframes as the AI backbone for key industries. Heads of I&O must prioritize integrating AI into their mainframe estate before considering unproven alternatives. Gartner Research ...
Analyst(s): Alessandro Galimberti | Tadaaki Mataga | Dennis Smith | Mike Chuba | Tobi Bet
... the focus on short-term results. To meet CEO expectations for growth and profitability, CMOs need to shift from using AI for internal, operational efficiencies to focusing on how AI can deliver unique brand value through enhanced customer experiences that drive growth. Strategic Planning Assumptions ...
... documentation wastes resources and drives inaccurate AI outputs. Software engineers should use generative AI tools to accelerate and improve documentation tasks. This reduces documentation toil and prepares software artifacts for optimal use by AI capabilities in the future. Overview Analysis Guidance ...
... Gartner client? The rush to adopt AI-driven cybersecurity tools can expose organizations to numerous risks, from technical debt to attackers leveraging new technologies. This research offers cybersecurity leaders actions to ensure effective AI integration, including building AI literacy. Overview Introduction ...
... allows developers to build AI assistants and agents using various architectures and RAG patterns. Before building AI agents using Copilot Studio, software engineers should learn the emerging patterns, skills, features and best practices to enable the successful development of AI assistants. Overview Analysis ...