... Hyperscalers are redefining AI data center networking. Analysis of the AI network fabrics used by major hyperscalers reveals the design principles and operational practices that enterprises can adopt to improve the performance, reliability and efficiency of their own AI infrastructure. Insights at a ...
Analyst(s): Andrew Lerner | Nauman Raja
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... client? As AI accelerates workplace transformation, CIOs face the critical challenge of designing systems that boost productivity while protecting employees from burnout, one of the shadow effects of AI. Orchestrating the human-AI experience will be the defining leadership challenge for CIOs in the years ...
Analyst(s): Gabriela Vogel | Matt Hancocks | Alicia Mullery
... spec-driven development. Analyze net present value (NPV), productivity gains and costs to refine AI use cases and establish best practices. Set governance standards, monitor adoption, address resistance and invest in platform engineering for scale. Decision tools Get benchmarks, assessments and guides to drive ...
... Access Insights Already a Gartner client? Emerging agentic AI platform vendors are not monetizing services. To scale, product leaders must pivot to one of three strategic paths: providing outcome-as-agentic-service, developing and monetizing in-house services, or establishing a services channel program ...
Analyst(s): Radu Miclaus | Christine Tenneson | Vuk Janosevic
... This presentation highlights 22 AI use-case examples from government submissions to the Gartner 2025 Eye on Innovation Awards. Government CIOs should analyze these examples to evaluate how similar AI projects can support their mission and wider business outcomes. Gartner Recommended Reading Gartner Research ...
... AI is a powerful catalyst for democratizing technology delivery in organizations — introducing opportunity, but with risks. This research explains why proactive, strategic intervention is essential for CIOs to mitigate these risks and harness democratized AI for lasting business advantage. Insights at ...
... Already a Gartner client? The biggest risk in deploying AI agents in finance is autonomy without oversight. CFOs should use their first finance AI agent to test the governance frameworks for future agents and put review, traceability and control systems in place before scaling into high-impact work. ...
... Product leaders are harnessing Voice AI, a subset of conversational AI, to transform voice into a dynamic customer experience (CX) channel. By leveraging advanced transcription, translation and interactive capabilities, they’re delivering superior CX and driving deeper engagement. Overview Strategic ...
... Google, Canada’s Treasury Secretariat and Axon are among the organizations bridging the gap between abstract ethics frameworks and the practical work of product development. They describe how legal leaders use a structured process to assess the impact of algorithms. Recommended by the Authors Endnotes ...