Scalable AI
June 2021 • White Paper
Hollen Barmer, Rachel Dzombak, Matt Gaston, Jay Palat, Frank Redner, Tanisha Smith, 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.
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.