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ML Ops in Practice
This podcast discusses the challenges of deploying machine learning models in production. These include model degradation over time, infrastructure challenges, and data security. The podcast also discusses the need for proper automation of ML processes and how it is implemented by leveraging AWS Cloud Services in projects at Thomson Reuters Labs
Lakshminarayan is a Lead Engineer - Machine Learning at Thomson Reuters Labs in Bangalore. He works with a team of engineers, scientists and designers to deliver ML solutions in TR products.
Harpreet is a Senior Cloud and DevOps Engineer at Thomson Reuters Labs in Bangalore. He works with a team of engineers, scientists and designers to build and Deploy solutions in Cloud.
Ms Shirsha Ray Chaudhuri, from the Thomson Reuters team, deserves special recognition for her efforts in coordinating this Podcast Series with the team.
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By Deepak John RejiThis podcast discusses the challenges of deploying machine learning models in production. These include model degradation over time, infrastructure challenges, and data security. The podcast also discusses the need for proper automation of ML processes and how it is implemented by leveraging AWS Cloud Services in projects at Thomson Reuters Labs
Lakshminarayan is a Lead Engineer - Machine Learning at Thomson Reuters Labs in Bangalore. He works with a team of engineers, scientists and designers to deliver ML solutions in TR products.
Harpreet is a Senior Cloud and DevOps Engineer at Thomson Reuters Labs in Bangalore. He works with a team of engineers, scientists and designers to build and Deploy solutions in Cloud.
Ms Shirsha Ray Chaudhuri, from the Thomson Reuters team, deserves special recognition for her efforts in coordinating this Podcast Series with the team.