In the age of data and incorporated AI capabilities, there is a need to ensure machine learning models are functioning optimally and meeting the stated objectives. Customers need a 360-degree view of their ML models and the agility to act swiftly based on insights. MLOps by Evolutio Powered by DataRobot on the Cisco Observability Platform is designed to make AI/ML Model performance, data drift, and other data issues in AI use cases a priority focus in an organization’s observability posture.
Join this webinar to learn how this new solution will deliver enterprise-grade observability for both predictive Al and generative Al, help optimize and scale AI deployments, and accelerate business value for our customers.
Speakers
Justin Swansburg
Scott Munson
Charlie DeMarco
What You’ll Learn:
- How MLOps by Evolutio, Powered by DataRobot empowers End users to stay informed of key metrics like service health, accuracy, data drift, prompt toxicity, token and inference costs
- How MLOps provides explainability tools to increase trust and fairness, and reduce bias
- How MLOps enables models to learn continuously from the real world with minimal downtime and appropriate governance in place to protect the business investment