Machine Learning Lifecycle 2021 Conference
Cognilytica’s Machine Learning Lifecycle Virtual Conference is a three day online experience January 26-28, 2021 focused on the machine learning lifecycle including ML Operations, building models, and model management!
Machine Learning Lifecycle 2021 Conference
MLOps Done Right: Best Practices to Deploy, Integrate, Scale, Monitor and Comply
On Demand
Presented by:
Veritone

Transform audio, video, and other data sources into actionable intelligence with Veritone’s aiWARE.

About this Session
Successful MLOps not only requires strong collaboration between the AI data team, AI model team, and DevOps - it’s the ability to effectively manage and mitigate risk across the deployment, integration, scale, monitoring, and compliance stages of an AI project. In this session, we will review these topics in detail, including why a cross-vendor deployment approach minimizes risk; what a standardized approach looks like when integrating AI into business processes and systems; scaling with business growth; monitoring performance and cost variables when models inevitably change, and how best to respond; and tracking model actions to ensure compliance.
You will also learn how Veritone’s own MLOps tackles these issues in successfully managing cloud-based AI deployments for large media and sports conglomerates including Bloomberg, ESPN, iHeartMedia, and the San Francisco Giants.
The session wraps up with a demonstration of Veritone’s Automate Studio low-code workflow tool, which eases the task of deploying AI models into production. If you’re responsible for MLOps, you don’t want to miss this session.
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