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MLOps: Managing the Chaotic Machine Learning Lifecycle

16:15 - 16:45 (GMT+02:00)
10 November 2021
Keynote
Add to calendar 11/10/2021 16:15 11/10/2021 16:45 Europe/Bucharest MLOps: Managing the Chaotic Machine Learning Lifecycle - GoTech World 2021: Revive. Rise. Accelerate the future By the end of this talk, you'll be able to articulate the challenges with deploying machine learning pipelines, identify various forms of drift, and drive ML efficiency throughout your organization.

Speakers:
Brooke Wenig, Machine Learning Practice Lead @Databricks

Click here to view more details about this session.
Virtual hello@myconnector.ro aKyOfPFEVzRHclXpWmTW75232

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Successfully building a machine learning model is difficult to do once, but it's even more challenging to continuously deploy, monitor, and maintain these machine learning pipelines in production. In this talk, Brooke Wenig draws upon her years of experience working with Databricks customers to successfully control the chaotic ML lifecycle, otherwise known as MLOps. By the end of this talk, you'll be able to articulate the challenges with deploying machine learning pipelines, identify various forms of drift, and drive ML efficiency throughout your organization.

Brooke Wenig
Brooke Wenig
Machine Learning Practice Lead
Databricks
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Brooke Wenig is a Machine Learning Practice Lead at Databricks. She leads a team of data scientists who develop large-scale machine learning pipelines for customers, as well as teach courses on distributed machine learning best practices. She is a co-author of Learning Spark, 2nd Edition, co-instructor of the Distributed Computing with Spark SQL Coursera course, and co-host of the Data Brew podcast. She received an MS in Computer Science from UCLA with a focus on distributed machine learning and a BA in Chinese. She enjoys cycling and taking her dog, Bingo, to the beach.



Brooke Wenig' sessions:

16:15 - 16:45 (GMT)
Nov 10, 2021
Keynote
Add to calendar 11/10/2021 16:15 11/10/2021 16:45 MLOps: Managing the Chaotic Machine Learning Lifecycle - GoTech World 2021: Revive. Rise. Accelerate the future By the end of this talk, you'll be able to articulate the challenges with deploying machine learning pipelines, identify various forms of drift, and drive ML efficiency throughout your organization.

Speakers:
Brooke Wenig, Machine Learning Practice Lead @Databricks

Click here to view more details about this session.
Virtual hello@myconnector.ro aKyOfPFEVzRHclXpWmTW75232

MLOps: Managing the Chaotic Machine Learning Lifecycle

By the end of this talk, you'll be able to articulate the challenges with deploying machine learning pipelines, identify various forms of drift, and drive ML efficiency throughout your organization.


10:45 - 11:00 (GMT+02:00)
10 November 2021
Keynote
11:00 - 11:30 (GMT+02:00)
10 November 2021
Keynote
11:30 - 12:00 (GMT+02:00)
10 November 2021
Keynote
12:00 - 12:30 (GMT+02:00)
10 November 2021
Keynote
12:30 - 13:15 (GMT+02:00)
10 November 2021
Networking Break
13:15 - 13:45 (GMT+02:00)
10 November 2021
Keynote
13:45 - 14:15 (GMT+02:00)
10 November 2021
Keynote
14:15 - 14:30 (GMT+02:00)
10 November 2021
Keynote
14:30 - 15:00 (GMT+02:00)
10 November 2021
Keynote
15:00 - 15:30 (GMT+02:00)
10 November 2021
Keynote
15:30 - 16:15 (GMT+02:00)
10 November 2021
Networking Break
Watching
MLOps: Managing the Chaotic Machine Learning Lifecycle
16:15 - 16:45 (GMT+02:00)
10 November 2021
Keynote
16:45 - 17:15 (GMT+02:00)
10 November 2021
Keynote