WEBINAR REPLAY 

Operationalizing Machine Learning - Serving ML Models

With Boris Lublinsky, Principal Architect at Lightbend, Inc.

About This Webinar

Join O’Reilly author and Lightbend Principal Architect, Boris Lublinsky, as he discusses one of the hottest topics in software engineering today: serving machine learning models.

Typically with machine learning, different groups are responsible for model training and model serving. Data scientists often introduce their own machine-learning tools, causing software engineers to create complementary model-serving frameworks to keep pace. It’s not a very efficient system. In this webinar, Boris demonstrates a more standardized approach to model serving and model scoring.

You will learn:

  • How to develop an architecture for serving models in real time as part of input stream processing
  • How this approach enables data science teams to update models without restarting existing applications
  • Different ways to build this model-scoring solution, using several popular stream processing engines and frameworks


WEBINAR REPLAY 

Operationalizing Machine Learning - Serving ML Models

With Boris Lublinsky, Principal Architect at Lightbend, Inc. and

About This Webinar

Join O’Reilly author and Lightbend Principal Architect, Boris Lublinsky, as he discusses one of the hottest topics in software engineering today: serving machine learning models.

Typically with machine learning, different groups are responsible for model training and model serving. Data scientists often introduce their own machine-learning tools, causing software engineers to create complementary model-serving frameworks to keep pace. It’s not a very efficient system. In this webinar, Boris demonstrates a more standardized approach to model serving and model scoring.

You will learn:

  • How to develop an architecture for serving models in real time as part of input stream processing
  • How this approach enables data science teams to update models without restarting existing applications
  • Different ways to build this model-scoring solution, using several popular stream processing engines and frameworks


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About Presenter

Boris Lublinsky, Principal Architect at Lightbend, Inc.

Boris Lublinsky is a Principal Architect at Lightbend. Boris has over 25 years experience in enterprise, technical architecture, and software engineering. He is an active member of OASIS SOA RM committee, co-author of Applied SOA: Service-Oriented Architecture and Design Strategies (Wiley), Professional Hadoop Solutions (Wiley), and Serving Machine Learning Models (O’Reilly).

About Presenters

Boris Lublinsky, Principal Architect at Lightbend, Inc.

Boris Lublinsky is a Principal Architect at Lightbend. Boris has over 25 years experience in enterprise, technical architecture, and software engineering. He is an active member of OASIS SOA RM committee, co-author of Applied SOA: Service-Oriented Architecture and Design Strategies (Wiley), Professional Hadoop Solutions (Wiley), and Serving Machine Learning Models (O’Reilly).

About Lightbend

Lightbend (Twitter: @Lightbend) provides the leading Reactive application development platform for building distributed systems. Based on a message-driven runtime, these distributed systems, which include microservices and streaming fast data applications, can effortlessly scale on multi-core and cloud architectures. Many of the most admired brands around the globe are transforming their businesses with our platform, engaging billions of users every day through software that is changing the world. For more information on Lightbend, visit: lightbend.com