Scalable AI

June 25, 2021 • White Paper

By

Hollen Barmer, Rachel Dzombak, Matt Gaston, Jay Palat, Frank Redner, Tanisha Smith, and John Wohlbier

This white paper discusses Scalable AI: the ability of AI algorithms, data, models, and infrastructure to operate at the size, speed, and complexity required for the mission.

Publisher

Software Engineering Institute

Subjects

Artificial Intelligence Engineering

Abstract

Scalable AI is the ability of AI algorithms, data, models, and infrastructure to operate at the size, speed, and complexity required for the mission. Scalability is a critical concept in many engineering disciplines and is crucial to realizing operational AI capabilities. We identify three areas of focus to advance scalable AI:

Scalable management of data and models to overcome data scarcity and collection challenges
Enterprise scalability of AI development and deployment
Scalable algorithms and infrastructure

For each area, we identify ongoing work as well as challenges and opportunities in developing and deploying AI systems at scale.