Webinar: Capitalize on Machine Learning at Scale
“MLOps is a must-have capability to operationalize AI at scale.” – Forrester
Learn how MLOps is integral to ensuring you see ROI on your algorithm development.
- Understand the importance of business needs before introducing AI
- Learn 6 areas essential for MLOps
- Understanding Business Needs
- MLOps for Data Governance and Ingestion
- Model Development
- Model Operationalization
- Monitoring
- Security
- Discover how to get started with an agency use-case on fraud detection
Speakers:
Claire Walsh, Vice President of Engineering and Services, Excella
Henry Jia, Data Science Lead, Excella
You Might Also Like
How Federal Agencies Can Responsibly Harness AI
Given the pace of technology advancement, it may feel like artificial intelligence (AI) has been...
From PowerPoint to Prototype: How AI is Revolutionizing Federal Innovation
Charles Fiery, Market Solutions Architect at Excella, joined host John Gilroy of Federal Tech Podcast...
The New Playbook for Fraud Prevention: Putting Humans at the Center
Despite the promise of artificial intelligence (AI), fraud detection doesn’t start with algorithms—it starts with...