Machine Learning Off-The-Shelf Scalability Software Engineering 
Netflix Tech
NOVEMBER 22, 2019
4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Wednesday?—?December
Netflix Tech
NOVEMBER 22, 2019
4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Wednesday?—?December
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AWS Machine Learning - AI
APRIL 16, 2024
Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them.
Netflix Tech
NOVEMBER 22, 2019
4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. In 2019, Netflix moved thousands of container hosts to bare metal.
O'Reilly Media - Ideas
OCTOBER 19, 2021
Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. All ML projects are software projects.
Bernd Rucker
DECEMBER 21, 2021
In this case, the decision is not too hard: as thousands of companies have the exact same requirements you have, you can simply buy a standard HR software or leverage an off-the-shelf cloud service around payroll. Buying standard software again, probably customizing it to your specific needs? How could you go about this?
O'Reilly Media - Ideas
OCTOBER 13, 2020
In traditional software engineering, precedent has been established for the transition of responsibility from development teams to maintenance, user operations, and site reliability teams. The field of AI product management continues to gain momentum. New features in an existing product often follow a similar progression.
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