February 10, 2020

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Running AI workloads in containers (sponsored by BMC Software)

Running AI workloads in containers (sponsored by BMC Software)

Developing, deploying and managing AI and anomaly detection models is tough business. See-Kit Lam details how Malwarebytes has leveraged containerization, scheduling, and orchestration to build a behavioral detection platform and a pipeline to bring models from concept to production.
Talk Title Running AI workloads in containers (sponsored by BMC Software)
Speakers See-Kit Lam (Malwarebytes), Darren Chinen (Malwarebytes)
Conference Strata Data Conference
Conf Tag Make Data Work
Location New York, New York
Date September 24-26, 2019
URL Talk Page
Slides Talk Slides
Video

Developing, deploying and managing AI and anomaly detection models is tough business. Bridging the worlds of data science, data engineering, software engineering, and sustaining engineering is probably the toughest part of implementing AI at scale. See-Kit Lam details how Malwarebytes has leveraged containerization, scheduling, and orchestration to build a behavioral detection platform and a pipeline to bring models from concept to production. Sponsored by BMC Software.

container data engineering data science ai anomaly detection pipeline orchestration
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