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MLOps V2 Solution Accelerator – Unifying MLOps at Microsoft
MLOps means different things to different people, however, the fundamental essence of MLOps is to deliver models into productions faster with a consistent, repeatable, and reliable approach. Machine Learning Operations (MLOps) is key to accelerating how data scientists and ML engineers can impact organizational needs. A... Read more
MLOps for Musicians
Editor’s note: Akira is a speaker for ODSC APAC this September 7th-8th. Be sure to check out his talk, “MLOps for Musicians,” there! Just 5 years ago, thinking about how to deploy and reliably run AI models in a critical operation, known as MLOps, seemed like... Read more
A Brief History of MLOps
Data is becoming more complex, and so are the approaches designed to process it. Companies have access to more data than ever, but many still struggle to glean the full potential of insights from what they have. Machine learning has stepped in to fill the gap.... Read more
10 Trending Virtual MLOps Talks Coming to ODSC Europe 2022
A model that never makes it into production is one that is incapable of producing value for a business or organization. Unfortunately, the percentage of models that make it out of development is still low. However, the field of MLOps is focused on this very problem... Read more
ODSC East 2022 Keynote: NVIDIA and Red Hat on Accelerating AI/ML Deployments with Enterprise-Grade MLOps
At ODSC East, Red Hat’s Abhinav Joshi and NVIDIA’S Matt Akins spoke at length during their keynote on how to accelerate AI/machine learning deployments with enterprise-grade MLOps, while also providing a use case. As artificial intelligence (AI) continues to grow in use, we’re seeing entire industries... Read more
15 Trending MLOps Talks You Can Access for Free
MLOps and data workflows are one of 2022 most trending topics. Here’s just a sample of 15 of over 110 free general talks and MLOps talks from leaders in MLOps that you just shouldn’t miss this April 19th-21st at ODSC East 2022. Grab a free Bronze... Read more
Machine Learning Systems Pt. 1: Overview and Challenges
In 2015, a Machine Learning research paper made massive waves discussing the “Hidden Technical Debt in Machine Learning Systems”. In this paper, Sculley et. al. highlighted how the code to build a machine learning model is a really small piece of the entirety of the project.... Read more
7 Top Machine Learning Operations (MLOps) Startups and the Problem They Solve
Machine Learning Operations (MLOps) is a very hot space within the already rapidly-accelerating growing AI market. The MLOps market alone is expected to grow to almost 4 billion by 2025. Given the already crowded space for AI and MLOps startups, we took a look at some... Read more
What’s Trending in MLOps in 2022?
A model that never makes it into production is one that is incapable of producing value for a business or organization. Unfortunately, the percentage of models that make it out of development is still low. However, the field of MLOps is focused on this very problem... Read more
What is MLops and Why Do You Need it?
Editor’s note: Yinxi is a speaker for ODSC East 2022. Be sure to check out her talk alongside Sean Owen, “MLOps: Relieving Technical Debt in ML with MLflow, Delta and Databricks,” to learn more about MLOps! The past decade has seen huge adoption of Machine Learning... Read more