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Session #6

Greg Hayes on Breaking the Silos Between Data Scientists, Engineers and DevOps with New MLOps Practices

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Ecolab’s Data Science Director discusses how his company is accelerating the deployment of AI applications by using new MLOps methodologies, leveraging microservices and building easier processes for the teams to create a culture of collaboration.

In this session you will learn:

• How Ecolab is accelerating the deployment of AI applications by using new MLOps methodologies, leveraging microservices and building easier processes for the teams to create a culture of collaboration
• How to create workflows that enable agile development and continuous delivery of machine learning (ML) to production
• How to incorporate distributed data preparation at scale into your ML pipeline (using tools such as DASK and Spark)
• How to create automated ML pipelines using open-sources technologies
• How to overcome political, cultural and technological barriers when adopting new ways of working on data science projects