Designing machine learning models for both consumer and industrial applications

The Data Exchange Podcast: Christopher Nguyen on taking a relationship-centric approach to designing data applications.


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In this episode of the Data Exchange I speak with Christopher Nguyen, CEO of Arimo (a Panasonic company). I first met Christopher in the early days of Apache Spark, Arimo was one of the first companies to embrace Spark and make it a central component of their data platform. He was also an early proponent of exploring deep learning for enterprise applications. A serial entrepreneur, Christopher was also an Engineering Director at Google where he was responsible for Google Apps.

Enjoy a great series of FREE monthly virtual conferences from the organizers of the Ray Summit, the next one is scheduled for July 8th: Practical Reinforcement Learning. Go to anyscale.com/events to register.

Our conversation covered a range of topics including:

  • The difference between being a vendor (Arimo), and his current role implementing analytics and machine learning products and systems within a large company.
  • Machine learning for IoT and industrial internet applications. This includes examples like predictive maintenance, forecasting, and more.
  • The benefits of combining rule-based systems and machine learning models.
  • MLOps and productionizing machine learning.
  • Ray.

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[Image: Industrial Hall from Pikist]