Greg Hayes on Uniting Data Scientists, Engineers, and DevOps with MLOps

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