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Premium Research Oct 2025
... Organizations often collect vast amounts of data expecting deeper customer understanding, but this unfocused strategy wastes resources since only a fraction of the data is utilized. Enterprise application leaders should follow six steps to focus only on the essential voice-of-the-customer insights. O ...

Analyst(s):   Chad Storlie   |   Michael Chiu
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Premium Research Aug 2025
... Agentic AI is one of the hottest areas of research in AI. This research shines light on innovative, emerging startups that can help artificial intelligence leaders realize their goals of automating business processes and delivering more autonomous AI. Overview Strategic Planning Assumptions Analysis Gar ...

Analyst(s):   Chirag Dekate   |   Arun Chandrasekaran
Premium Research Aug 2025
... OpenAI’s GPT-5 integrated with ChatGPT agents sidelines enterprise governance, security and independence, favoring consumer commercial use over enterprise readiness. AI leaders should adopt cautiously and perform thorough risk assessments before implementation. Gartner Research ...

Analyst(s):   Leinar Ramos   |   Avivah Litan
Premium Research Jun 2025
... Midsize enterprise CIOs know that their organizations are not equipped with the right talent to maximize value from GenAI. Instead of trying to hire new talent with GenAI skillsets amid a difficult market, this article provides guidance on how to build GenAI talent from within. Overview Introduction An ...

Analyst(s):   Megha Bawa   |   Maria Nelson   |   Srishti Khanna
Research Jun 2025
... Our latest survey reveals where AI is being implemented within enterprises — and it’s not yet as pervasive as some may think. AI leaders can use this information to compare their AI strategy against their peers and refine it as AI penetrates more areas of the enterprise. Overview Data Insights Gartner Recommended ...

Analyst(s):   Hung LeHong   |   Birgi Tamersoy
Premium Research Sep 2025
... Midsize enterprise CIOs know that their organizations are not equipped with the right talent to maximize value from GenAI. Instead of trying to hire new talent with GenAI skill sets amid a difficult market, this article provides guidance on how to build GenAI talent from within. Insights at a Glance I ...

Analyst(s):   Maria Nelson   |   Srishti Khanna   |   Megha Bawa
Premium Research Oct 2025
... Organizations adding AI to their vendor ecosystem must maintain a balance between centralized vendor authority and decentralized operational activity. CIOs and AI leaders must employ center-led sourcing, procurement, and vendor management to add flexibility and achieve the best outcomes. Overview Intr ...

Analyst(s):   Whit Andrews   |   Edward Weinstein
Premium Research Aug 2025
... To run successful GenAI initiatives at midsize enterprises, CIOs must drive executive alignment on strategy, risk and execution. This document outlines critical conversations CIOs need to enable coordinated action that drives business value. Overview Strategic Planning Assumption Introduction Analysis Ga ...

Analyst(s):   Maria Nelson   |   Megha Bawa   |   Srishti Khanna
Webinar On-Demand
... 生成式人工智能(GenAI)正成为企业提升业务效能的关键技术。然而,其成功应用依赖于强大的AI基础设施,包括计算、存储、网络、AI加速器和工程工具等。企业在部署GenAI时,需在本地和云基础设施之间做出合理选择,平衡性能、成本与扩展性。本场免费Gartner线上研讨会将探讨如何制定高效的GenAI基础设施战略,涵盖技术选型、架构优化和部署实践,助力企业构建灵活、可扩展的AI支撑体系,实现业务价值最大化。您将从本次会议中获得重要问题的答案以及可落地的行动指南。 •解析为什么 GenAI 基础设施如此重要 •为您的组织选择合适的 GenAI 基础设施解决方案 •探索推动GenAI基础设施部署选址决 ...

Analyst(s):   Carolin Zhou
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