Best Practice Report

The Architect’s Guide To Generative AI

Prepare For Multiple Models With Multiple Modes, Doing Many Tasks In Many Use Cases

January 12th, 2024
Brian Hopkins, VP, Emerging Tech Portfolio
Brian Hopkins VP, Emerging Tech Portfolio
Charles Betz, VP, Research Director
Charles Betz VP, Research Director
Jeff Pollard, VP, Principal Analyst
Jeff Pollard VP, Principal Analyst
Alvin Nguyen, Senior Analyst
Alvin Nguyen Senior Analyst
Will McKeon-White, Senior Analyst
Will McKeon-White Senior Analyst
With contributors:
Srividya Sridharan , Rowan Curran , Carlos Casanova , J. P. Gownder , Mike Gualtieri , Martha Bennett , Ted Schadler , Diego Lo Giudice , James McGlynn , Demi Starks

Summary

Generative AI (genAI) has become a boardroom topic, but the market has focused almost exclusively on large language models. The future of genAI is much bigger than question-and-answer-style chat. Architects must get involved, helping their organization understand its potential and the building blocks needed for a dizzying array of genAI-powered applications. Using patterns (like retrieval-augmented generation), views, and principles, architects can show stakeholders how all the technical elements work together. They can also help their business improve tradeoff decisions between risk and reward.

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