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
Excella Innovators: Nicole Spence-Goon
When Scaling Meets Collective Agile Experience, Transformation Happens You may know Agile Coach and Lead Consultant, Nicole Spence-Goon, from her “3...
XAI: Explainable AI – What is It & Why is it Important?
Recently, we sat down with John Gilroy with Federal Tech Talk to talk about an...
Understanding Your Business Needs Before Building AI
Use an Agile Approach to Define Business Needs & Develop an Effective ML Strategy ...