AI Technology Foundation & Strategy: 2026-27

Summary

Author: Beth Schultz, VP of Research and Principal Analyst

As enterprises venture deeper and deeper into AI use across the business, establishing a strong technology core and strategy is imperative. In this study, we’ll explore the foundational elements required for successful, responsible, and scalable AI adoption. Topics will include:

  • AI governance and risk management
  • The transition from traditional data management to knowledge-driven data architecture
  • Data sources, storage, and prep for a generative AI data layer
  • AI model adoption – a look at hyperscalers and AI platforms
  • Buying patterns – CX vs. collaboration centricity?

Table of Contents

  • About Metrigy & the Study
  • Defining Success
  • Key Findings of the Study
  • AI Governance & Risk
  • Generative AI Data Layer
  • Architecture & AI Models
  • AI Model Adoption
  • AI & the Network

Author(s)

Beth Schultz

Beth Schultz

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