MLOps Presentation: When do You Need an MLOps Platform Team?
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 minMore articles
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Dr. Phil Winder
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1 min
MLOps Presentation: Databricks vs. Pachyderm
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
Machine Learning Presentation: Packaging Your Models
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 min
GitOps for Machine Learning Projects
Learn how GitOps, the practice of being declarative, can help your artificial intelligence project development process become faster and more resilient.
Dr. Phil Winder
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13 min
Machine Learning Presentation: Provenance and Lineage for Data, Pipelines, and Deployments
Learn the difference between lineage and provenance. Discover the different strengths of lineage. Find out how you can decompose your AI projects to make your machine learning models more repeatable, understandable, and robust.
Dr. Phil Winder
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1 min
Databricks vs Pachyderm - A Data Engineering Comparison
Databricks vs. Pachyderm - two leading data engineering products. Find out how they compare in this white paper.
Enrico Rotundo
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18 min
Reinforcement Learning Presentation: Cyber Security
A talk about the use of RL in cyber security including a case study about how Winder.AI helped an internal security team develop a tool to hack web application firewalls.
Dr. Phil Winder
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1 min
MLOps Presentation: How to Build Resilient AI With GitOps
Learn how GitOps for AI is a key ingredient in any ML platform to enhance resiliency and observability.
Dr. Phil Winder
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1 min
The Value of a Machine Learning Pipeline: Past, Present, and the Future of MLOps With Kubeflow
Kubeflow is an incredible project, and Kubeflow pipelines have become the defacto open-source pipelining solution for machine learning pipelines. But it's not good enough and we need to move past it. Learn why and how.
Dr. Phil Winder
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11 min
Using Reinforcement Learning to Attack Web Application Firewalls
This case study explains how Winder.AI, an ML/RL/MLOps consultancy, worked with the cyber security team at a multinational food and beverage company to research, design, and implement a reinforcement learning based agent capable of hacking web application firewalls (WAF). Find out more.
Dr. Phil Winder
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Case studies and industry analysis from our team. No hype, roughly monthly.