In this presentation, I present ReFrame, a horrible name for a process that helps us find and execute reinforcement learning projects for our clients. Learn what makes an RL problem, how to derisk development, and what you should work on first.
Dr. Phil Winder
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1 min
Dr. Phil Winder provides a candid introduction to using Reinforcement Learning for Business Applications.
Dr. Phil Winder
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6 min
Learn how we integrated Pachyderm with Spark and MLFlow for scalable ML tracking.
Enrico Rotundo
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10 min
In this case study, we will discuss the use of reinforcement learning to optimise industrial processes. Find out how to use reinforcement learning to automate procedures that are time-consuming and difficult to understand.
Dr. Phil Winder
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3 min
Buildpacks enable MLOps platform teams to reduce the maintenance burden of shared containers. Learn how Winder.AI helped Lightning AI develop Buildpacks for their service.
Enrico Rotundo
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14 min
Learn more about the current state of the art general purpose computation platforms in this landscape analysis. This is a case study of a project completed by Winder.AI for Protocol Labs.
Enrico Rotundo
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5 min
Kubernetes' cluster auto-scaler allows for the scale out of large machine learning jobs. But which cloud you use, and what settings you provide, make a massive difference. Learn how we helped one client save 80% off their bill.
Dr. Phil Winder
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13 min
Dr. Phil Winder presents industry observations of MLOps team size and structure for a range of business sizes and domains.
Dr. Phil Winder
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1 min
This talk discusses presents our comparison of two leaders in the engineering space -- Databricks and Pachyderm.
Dr. Phil Winder
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1 min
This talk discusses common ways to package your machine learning models. Learn about best practice and the current state-of-the-art.
Dr. Phil Winder
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1 minCase studies and industry analysis from our team. No hype, roughly monthly.