On-demand

Obtain New Insights on Model Behavior with Fiddler

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Join the MLOps Community and Danny Brock, Solutions Engineer at Fiddler AI, to discover how MLOps teams can monitor, explain, and analyze their ML models. ML Engineers and Data Scientists get hands-on experience on how to instrument ML models with Fiddler for observability. Using a dedicated Fiddler cloud environment on AWS, register a model and publish model events into the Fiddler Model Performance Management platform.

We use the insights surfaced by Fiddler to better understand data drift, data integrity, and underperforming cohorts.

Can’t attend live? Recordings will be available to all registrants after the event.

Speakers
Danny Brock
Director, Solutions Engineering
at
Fiddler AI
Danny is a senior solutions engineer at Fiddler. When you boil it down, this role is really about evangelizing the value of Fiddler to our prospects and customers through product demonstrations or evaluations with their own models and data. Danny has to understand the specifics around customer challenges to ensure they get maximum value from Fiddler.Prior to Fiddler, Danny worked for a handful of startups in the analytics space like Endeca, Incorta, and Branchbird which was his own consulting company focused on Hadoop implementations.
MLOps Community
at

Join the MLOps Community and Danny Brock, Solutions Engineer at Fiddler AI, to discover how MLOps teams can monitor, explain, and analyze their ML models. ML Engineers and Data Scientists get hands-on experience on how to instrument ML models with Fiddler for observability. Using a dedicated Fiddler cloud environment on AWS, register a model and publish model events into the Fiddler Model Performance Management platform.

We use the insights surfaced by Fiddler to better understand data drift, data integrity, and underperforming cohorts.

Speakers
Danny Brock
Director, Solutions Engineering
at
Fiddler AI
Danny is a senior solutions engineer at Fiddler. When you boil it down, this role is really about evangelizing the value of Fiddler to our prospects and customers through product demonstrations or evaluations with their own models and data. Danny has to understand the specifics around customer challenges to ensure they get maximum value from Fiddler.Prior to Fiddler, Danny worked for a handful of startups in the analytics space like Endeca, Incorta, and Branchbird which was his own consulting company focused on Hadoop implementations.
MLOps Community
at