
MLOps in Finance
MLOps consulting for finance companies. Learn how Winder.AI collaborated with an automotive loan provider to deliver a comprehensive MLOps audit.
Dr. Phil Winder
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3 min
MLOps consulting for finance companies. Learn how Winder.AI collaborated with an automotive loan provider to deliver a comprehensive MLOps audit.
Dr. Phil Winder
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3 min
A collaboration between Genesis Energy and Winder.AI where we developed a reinforcement learning-powered solution for optimal hydroelectric power generation.
Dr. Phil Winder
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3 min
A presentation discussing the results of a report for a UK government regulator to interview and analyse how online platforms are using MLOps and governance to help operate their AI solutions.
Dr. Phil Winder
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1 min
Winder.AI helped a UK government regulator interview and analyse how online platforms are using MLOps and governance to help operate their AI solutions. Download the report here.
Dr. Phil Winder
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4 min
Enrico Rotundo presents some of his latest work designing and implementing a directed acyclic graph (DAG) executor for Bacalhau, a decentralised compute platform.
Enrico Rotundo
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2 min
This is the second presentation discussing some of the greatest challenges for a reinforcement learning project. Learn what they are and how to overcome them.
Dr. Phil Winder
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1 min
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 minLearn 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 minCase studies and industry analysis from our team. No hype, roughly monthly.