GenAI Engineering in the Enterprise and Why It Matters

Executive Snapshot

• Figure: Executive Snapshot: GenAI Engineering in the Enterprise and Why It Matters

Situation Overview

• Generic Consumer Services Created the GenAI Boom in Enterprises, Too

• Enterprise Needs and Values Point Beyond the Generic

• GenAI Engineering: A Discipline Every Organization Needs

• Introducing GenAI Engineering

• GenAI Engineering Integrates Discipline Across Three Domains

• Figure: GenAI Engineering Core Domains and Governing Factors

• GenAI Engineering Shapes Implementation According to Three Governing Factors

• GenAI Engineering in the Models Domain: Dealing With a Cambrian Explosion of GenAI Models

• Figure: Representative Examples of GenAI Model Providers

• The Role of AI Platforms

• GenAI Engineering in the Outcomes Domain: Dealing with a Range of Implementation Choices

• Figure: Implementation Choices Are Complex and Must Be Managed

• GenAI Engineering in the Data Domain: Reflecting Data's Value

• Figure: Data Value and Model Value Are Always Intertwined

• The Role of Data Governance

• Data Value Chains Are Critical for GenAI

• GenAI Engineering: A Collaborative Discipline

• Figure: GenAI Engineering Is a Collaborative Discipline

• Key Roles Involved in GenAI Engineering

• GenAI Engineering and the Role of a COE

Advice for the Technology Buyer

• People and Practice

• The Importance of Intelligence

• GenAI Engineering and Governance Are Two Sides of the Same Coin

Learn More

• Related Research

• Synopsis