AI Technology Foundation & Strategy: 2026-27
Artificial Intelligence
Customer Experience
Research Study
Research Advisory Service (RAS)
Assurance, Governance, Security, and Compliance
Data Stores
Generative AI
Knowledge Management
Organizational Strategy
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
You Are Currently Viewing a Preview of This Content.
To view the full report login if you are an existing client, or if you aren’t a client contact us to access this research content.