• Online

Databricks' Data and AI Summit - Experimentation to Industrialization: Implementing MLOps

Type:

  • Event

Topic(s):

  • Databricks
  • MLOps
  • Data Science
  • Machine Learning
Register

Thorogood consultants Deb Lee and Al McEwan have been given the opportunity to speak at Databricks’ Data and AI Summit 2021 from May 24th – 28th. The Data and AI Summit is a global event for the data community, where 100,000 practitioners, leaders and visionaries come together to shape the future of data and AI.

In our presentation on May 26th, Thorogood will draw upon our experience as the MLOps delivery partner with one of our customer’s global Data & Analytics division. We will share important learnings and takeaways from delivering productionized ML solutions, and from shaping the MLOps best practices and organizational standards that are needed to be successful.

We will open by providing high-level context for MLOps, and  answer key questions such as “What is MLOps exactly?” and “What are the benefits of establishing MLOps Standards?”

In the session we will then share our learnings and best practices, along with common challenges when refactoring experimentation use-cases and how to best get ahead of these issues in a global organization. We will then outline an Engagement Model for MLOps addressing: People, Processes, and Tools.

  • ‘Processes’ highlights how to manage the often siloed data science use case demand pipeline for MLOps and the documentation to facilitate seamless integration with an MLOps framework.
  • ‘People’ provides context around the appropriate team structures and roles to be involved in an MLOps initiative.
  • ‘Tools’ addresses key requirements of the tools used for MLOps, considering the alignment of available technology services with business needs and use cases.

You can register for the Databricks Data and AI Summit via the Databricks page.