MLOps

MLOps Red Hat

Technically Speaking (E15): Machine learning model drift & MLOps pipelines

Machine learning at the edge is trendy, but what basics do you need to know? In this episode, Kavitha Prasad from Intel joins Chris Wright to talk about machine learning, MLOps and model drift. They discuss causes of model drift, how MLOps is similar to DevOps, how ML pipelines can help make model development and […]

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Databricks MLOps

MLOps on Databricks: A How-To Guide

As companies roll out ML pervasively, operational concerns become the primary source of complexity. Machine Learning Operations (MLOps) has emerged as a practice to manage this complexity.

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MLOps

How MLOps was Unified at Microsoft

Moe Steller and Setu Chokshi stop by to talk about MLOps (v2) Fundamentals, MLOps (v2) Approach, Architectures, MLOps (v2) and they’ll demo each new feature.

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Machine Learning MLOps

How To Detect Silent Failures In ML Models

The webinar will teach you how to detect silent ML model failure without accessing the target data. We will cover the most likely causes for ML failure, like data and concept drift. You’ll learn the tools (both statistical and algorithmic) used in detecting and dealing with these failures, their applications, and their limits. By the […]

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MLOps

New Video Upload : Thursday Thoughts: #MLOps is more than just a buzzword

Thursday Thoughts: #MLOps is more than just a buzzword Always advancing alliterations!

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AI MLOps

The Modern Stack for ML Infrastructure

Metaflow was originally developed at Netflix to provide a user-friendly platform for a wide range of ML use cases from computer vision and NLP to classical statistics. Today, Metaflow is used by hundreds of companies from real estate and finance to biotech and drones. In this talk, we give a technical overview of Metaflow, showing […]

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MLOps Red Hat

Accelerate AI/ML deployments with enterprise-grade MLOps

A growing number of organizations are integrating AI/ML workloads into cloud-native applications to deliver more insight and value from their data. However, there are a number of challenges in adopting, accelerating, and scaling ML operations (MLOps) across the enterprise in a predictable fashion. NVIDIA and Red Hat have been working with organizations globally to understand […]

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Machine Learning MLOps

MLOps Crash Course for Beginners

The reality is that most data science value is created outside of a notebook. It’s about more than your model, it’s about the model’s lifecycle.

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AI MLOps

High Level MLOps from Microsoft Data Scientists

On this episode of the AI Show, Seth welcomes Microsoft Data Scientists, Spyros Marketos, Davide Fornelli and Samarendra Panda. They will give a high-level intro into MLOps and share some of the lessons they’ve learned working with customers along the way.

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MLOps

YOLO with Data-Driven Software

This presentation shows how to treat data like code through the concept of Data-Driven Software (DDS). This concept, implemented as a lightweight and easy-to-use python package, solves all the issues mentioned above for single user and collaborative data pipelines, and it fully integrates with a lakehouse architecture such as Databricks. In effect, it allows data […]

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