... Access Insights Already a Gartner client? Most AI initiatives benefit from centralized deployment patterns that maximize reuse and simplify governance. As operational constraints may require localized deployment of AI, Heads of EA should establish principles and decision criteria that balance both approaches ...
Analyst(s): Mark Cooper
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... creating enterprise value from AI Join Rita Sallam, Distinguished VP Analyst and Chief of Research, Data & Analytics at Gartner, as she sits down with Alan D. Duncan, Distinguished VP Analyst, AI Strategy, Data & Analytics at Gartner, to understand the CDAOs role in closing the AI value gap. In this candid ...
... Spatial AI, the connecting tissue of physical AI and digital AI, represents a $46 billion opportunity by 2036. Product and innovation leaders across tech and industry must understand how to start building spatial AI capabilities into their strategic roadmaps or risk falling behind in the AI race. Overview ...
... One reason for the AI value gap is that we treat AI as a set of technologies instead of seeing it for what it is: a sociological phenomenon. We need to think bigger. Three principles will help us view AI value and address AI risk in more complete ways. Insights at a Glance Gartner Recommended Reading ...
Analyst(s): Christian Stephan | Frank Buytendijk | Daryl Plummer | Lizzy Foo Kune | Marty Resnick
... client? Rapid AI acceleration without dedicated leadership support is causing widespread adoption challenges, including cognitive and ethical issues related to personal data protection, behavioral implications and loss of trust. CIOs and tech leaders must define new leadership roles, with human-AI symbiosis ...
... High-Impact AI Opportunities With Gartner AI Use Case Insights, you can explore, evaluate and prioritize 1,300+ proven AI use cases and real-world case studies tailored to your industry for stronger, faster AI outcomes. Discover AI opportunities tailored to your organization Rapidly identify AI opportunities ...
... answers to your vital questions and recommended actions to help you achieve your goals. • Investigate what AI-ready data means to you • What are the risks and challenges of preparing your data for AI • How should data management evolve to support these requirements Return to this web page to watch the webinar ...
... prioritization for 2027 •Evaluate and defend investments using evidence-based criteria and business outcomes •Identify high-impact investments across AI, analytics, talent and operations As Communications budgets face scrutiny and transformation mandates, traditional approaches to planning are no longer ...
... Access Insights Already a Gartner client? A robust AI operating model is the foundation for driving AI’s business impact at scale. CIOs and AI leaders must architect and regularly evaluate and evolve their models to be on track for enterprisewide transformation. Analysis Research Highlights Gartner Recommended ...
Analyst(s): Svetlana Sicular | Rajesh Kandaswamy | Pieter den Hamer