Скачать или смотреть [Webinar]: How To Productionize ML Models At Scale | Sigmoid

Watch Scott Kasper (Director of Data Engineering - Yum! Brands), Mayur Rustagi (Chief Technical Officer & Co-Founder - Sigmoid) and Rahul Singh (Chief Analytical Officer & Co-Founder - Sigmoid) as they discuss in detail about proven approaches to deploy ML models in production environments.

During this webinar, you will learn-
1) Implications of large scale Models in Operations
2) Challenges in taking Models to Production
3) Best practices of putting ML models to Production

Chapters:
0:00 Introduction
5:40 Scott’s take on Responses to the Pre Webinar poll questions
8:30 About yum! Brands
10:48 About Sigmoid
12:40 Evolution of AI/ML over the years
19:53 Future of AI/ML
22:52 Top industries AI capabilities penetration
24:45 Impact of AI/ML on Sigmoid's customers
26:40 What does productionizing mean
29:45 Real-world problems
30:57 Challenges faced inData
34:40 Challenges after choosing a model
36:50 Challenges when you're deploying
39:08 Going beyond deployment
40:35 Case study-MAB
46:30 Challenges that were overcome while solving the use case
51:32 Goals of the engagement- People, process, Technology
53:45 Engagement team structure
55:14 Scalable architecture Deployment-Journey
56:33 Technology stack
57:57 MAB Data Flow
59:25 Scalable infrastructure for the future

Know more about Sigmoid's approach to Productionize ML Models, visit- https://www.sigmoid.com/productionize...

Contact Us-
Email: [email protected]
Phone Number: 201-359-3445