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MLOps Innovator Series Lessons to Leverage Machine Learning at Scale
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AI/Machine learning is a hot field topic in engineering and tech right now - it feels like every organization is trying to realize the benefits of how they can get their data to work for them. The reality is that it’s hard to do, especially at a meaningful scale that will truly impact the business.
In this session, you’ll hear from Raj Venkatarami, Chief Architect of AI & Analytics at Cognizant, on the top challenges customers face in the effort to roll out machine learning practices and operationalize at scale.
Pachyderm is cost-effective at scale, enabling data engineering teams to automate complex pipelines with sophisticated data transformations across any type of data. Our unique approach provides parallelized processing of multi-stage, language-agnostic pipelines with data versioning and data lineage tracking. Pachyderm delivers the ultimate CI/CD engine for data.
Follow us to stay up-to-date on the latest data science trends:
In this session, you’ll hear from Raj Venkatarami, Chief Architect of AI & Analytics at Cognizant, on the top challenges customers face in the effort to roll out machine learning practices and operationalize at scale.
Pachyderm is cost-effective at scale, enabling data engineering teams to automate complex pipelines with sophisticated data transformations across any type of data. Our unique approach provides parallelized processing of multi-stage, language-agnostic pipelines with data versioning and data lineage tracking. Pachyderm delivers the ultimate CI/CD engine for data.
Follow us to stay up-to-date on the latest data science trends:
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