ADV Slides: MLOps – Applying DevOps to Competitive Advantage

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This webinar was sponsored by:

About the Webinar

MLOps is a practice for collaboration between Data Science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning” and “operations,” MLOps applies DevOps principles to ML delivery, enabling the delivery of ML-based innovation at scale to result in:

  • Faster time to market of ML-based solutions
  • More rapid rate of experimentation, driving innovation
  • Assurance of quality, trustworthiness, and ethical AI

MLOps is essential for scaling ML. Without it, enterprises risk struggling with costly overhead and stalled progress. Several vendors have emerged with offerings to support MLOps: the major offerings are Microsoft Azure ML and Google Vertex AI. We looked at these offerings from the perspective of enterprise features and time-to-value.

This session will be informative and helpful in uncovering some of the challenges and nuances of MLOps program development and platform selection.

About the Speaker

William McKnight

President, McKnight Consulting Group

William McKnight has advised many of the world’s best-known organizations. His strategies form the information management plan for leading companies in numerous industries. He is a prolific author and a popular keynote speaker and trainer. He has performed dozens of benchmarks on leading database, data lake, streaming, and data integration products. William is the #1 global influencer in data warehousing and master data management, and he leads McKnight Consulting Group, which has twice placed on the Inc. 5000 list.

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