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 minMore articles
Page 11 of 22
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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7 min
Helping Modzy Build an ML Platform
Modzy asked Winder.AI to help improve their ML platform with the addition of MLOps management and monitoring capabilities. During this work we also collaborated on two new open source projects. We provided ML and MLOps development expertise to deliver rapid results. Find out more.
Dr. Phil Winder
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4 min
How To Build a Robust ML Workflow With Pachyderm and Seldon
This article accompanies our demonstration of using Pachyderm and Seldon Deploy to manage the machine learning lifecycle. Follow along with the fictional organization CreditCo on a journey of ML failure and robustness. Learn how Winder.AI can provide MLOps consulting to help make your ML workflows more robust.
Enrico Rotundo
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9 min
How We Built an MLOps Platform Into Grafana
A case-study investigating how Winder.AI built an MLOps platform into Grafana.
Dr. Phil Winder
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3 min
Automating Cyber-Security with Reinforcement Learning
An investigation of how reinforcement learning is impacting cyber-security and how businesses can proactively test for security with automated agents.
Dr. Phil Winder
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7 min
CloudNativeX Interview: Reinforcement Learning
Join Lee Razo and Phil Winder for this comprehensive introduction to Reinforcement Learning, an area of machine learning in which problems are tackled with …
The Future of Transportation Infrastructure: Reinforcement Learning
An investigation in to the proven uses of reinforcement learning for transportation and associated infrastructure.
Dr. Phil Winder
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7 min
InfoQ Podcast: Phil Winder on the History, Practical Application, and Ethics of Reinforcement Learning
InfoQ · Phil Winder on the History, Practical Application, and Ethics of Reinforcement Learning Charles Humble, friend and editor of InfoQ, was kind enough to …
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