... Access Insights Already a Gartner client? Generative AI is driving a near-term increase in data center AI semiconductor revenue, while the deployment of AIin PCs, smartphones, edge and endpoint devices drives longer-term revenue gains. AI semiconductor revenue is forecast to be $198 billion by 2028, ...
Analyst(s): Alan Priestley
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... AWS’ priorities are to continue innovating as a strategic cloud hyperscaler, accelerate adoption of its generative and agentic AI services, and embed AI across its stack. CIOs must assess where AWS capabilities create differentiated value and their investments align with enterprise roadmaps. At a Glance ...
Analyst(s): Jim Hare | Lydia Leong | Dolores Ianni | Ed Anderson
... The Gartner Eye on Innovation Awards recognizes firms worldwide for their best-in-class technological innovations. CIOs can use these insights to understand how innovations in analytics, AI and automation and operating model transformation are impacting the future of the industry. Overview Analysis ...
... Percent of Organizations Will Integrate AI to Assist Employees’ Productivity by 2021 Gartner Analysts to Discuss AIin the Workplace at the Gartner Digital Workplace Summits 2019, May 29-30 in Orlando and September 12-13 in London, U.K. Artificial intelligence (AI) is increasingly making its way into the ...
... client? The infrastructure implementation and managed services market grew by 1.3% in U.S. dollars (2.3% in constant currency) to $341.8 billion in 2023. Cloud optimization and the use of cloud services to embrace generative AI were key priorities for all vendors. Overview Market Share Data Overall Market ...
Analyst(s): David Ackerman | Anupama . | Ankit Singh
... Anthropic’s strategic focus on specialized business use cases, software engineering and regulated industries has driven a recent surge in the provider’s popularity in the enterprise. However, competitors can catch up by doubling down on enterprise-centric capabilities, wrapping their model offerings. ...
... Board survey summary features perspectives from 12 Data and Analytics Research Board members regarding their enterprise’s role in sponsoring and executing artificial intelligence (AI) and large language models (LLM) responsibilities. It also discusses the structure of managing LLMs throughout their lifecycle ...
... AI presents transformative possibilities in banking, but failed AI bets will consume resources and, at worst, threaten the bank’s viability. Banking CIOs can use this research to learn about the varieties of AI failure in the industry and how to avoid them. Gartner Insights Abstract ...
... Gartner client? The AI market is out of balance. AI investments in tactical solutions do not reflect enterprise expectations for AI transformation. Providers racing for technical superiority are exceeding the market’s ability to adopt those technologies. Finally, demands for ROI on AI infrastructure and ...
Analyst(s): Radu Miclaus | Adam Woodyer | Alastair Woolcock | Mark McDonald | John Lovelock | Errol Rasit | Annette Zimmermann | Christy Ferguson