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Organizations Accelerate AI Adoption to Achieve Deeper Maturity Levels
Strategies Evolve to Combat Challenges Inherent in AI Implementations
Multiple Teams Influence AI Infrastructure Decisions—But Tech Leaders Make the…
Deployment Location Decisions Hinge on Numerous Factors
Performance Is Critical for AI Infrastructure—But Complexity Is Not
Sustainability Is Entrenched as a Common Denominator for AI Infrastructure
Large, Varied Data Sets Prompt Multi-pronged Strategies to Ensure Accuracy and…
Generative AI Assumes a Critical Role in AI Infrastructure
AI Measurements Are Common—and Highly Promising
Conclusion
Research Methodology
Respondent Demographics
Research Report: Navigating the Evolving AI Infrastructure Landscape
Sep 22, 2023
by
Mike Leone, Christian Perry
As AI continues its meteoric rise into business and IT environments, organizations are rapidly assembling or accelerating strategies to support AI technologies across every applicable area. Unlike niche technologies that impact only certain processes or personnel, AI has wide-ranging potential to transform entire businesses, IT environments, and associated teams. In turn, AI strategies must be multi-pronged efforts that properly align business objectives with AI initiatives and expectations, which requires thorough participation from stakeholders across the organization. The underlying infrastructure and other supportive elements must be fully capable of supporting that tandem strategy.
While many organizations are consistent in their efforts to build AI strategies, the components and direction of those strategies often vary. To assess the evolving AI landscape and the infrastructure that supports it, TechTarget’s Enterprise Strategy Group surveyed 375 data and IT professionals in North America (US and Canada) responsible for strategizing, evaluating, purchasing, and/or managing infrastructure specifically supporting AI initiatives for their organization.
Page Count: 26
Table of Contents
Executive Summary
Report Conclusions
Introduction
Research Objectives
Research Findings
Organizations Accelerate AI Adoption to Achieve Deeper Maturity Levels
Strategies Evolve to Combat Challenges Inherent in AI Implementations
Multiple Teams Influence AI Infrastructure Decisions—But Tech Leaders Make the Call
Deployment Location Decisions Hinge on Numerous Factors
Performance Is Critical for AI Infrastructure—But Complexity Is Not
Sustainability Is Entrenched as a Common Denominator for AI Infrastructure
Large, Varied Data Sets Prompt Multi-pronged Strategies to Ensure Accuracy and Compliance
Generative AI Assumes a Critical Role in AI Infrastructure
