Using Automated Builds in ModelOps
In this installment of the ModelOps Blog Series, we will transition from what it takes to build AI models to the process of deploying into… Read More »Using Automated Builds in ModelOps
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DataOps
DataOps is a philosophy whereby the various stages of development, from analysis to design to development to testing and maintenance, are increasingly integrated through software or machine-learning based systems. Articles in this section focus on both DataOps as a philosophy and business practice, as well as explore deeper technical aspects that make DataOps feasible.
PLM as a backbone for Disruptive Digital Thread
Product complexity is on the rise. Manufacturers need to understand customer requirements, define, and design products, collaborate with global designers and suppliers, ensure material feed… Read More »PLM as a backbone for Disruptive Digital Thread
Why the Feature Store Architecture is so Impactful for ML Teams
What is a Feature Store? Machine learning is such a new field that a mature industry-wide standard practice of operations has not yet emerged, like… Read More »Why the Feature Store Architecture is so Impactful for ML Teams
Model Experiments, Tracking and Registration using MLflow on Databricks
Learn how StreamSets, a modern data integration platform for DataOps, can help expedite operations at some of the most crucial stages of Machine Learning Lifecycle and… Read More »Model Experiments, Tracking and Registration using MLflow on Databricks
Transform Legacy Apps to Microservices using the DevOps Approach
The digital transformation is driving organizations to modernize their legacy systems and apps. With the pace of change in the tech industry, modern organizations are… Read More »Transform Legacy Apps to Microservices using the DevOps Approach
Model-centric to Data-centric AI – Am I Missing Something?
Introduction Andrew Ng is a key reference point for me in understanding AI. Andrew Ng is always easy to understand especially for new… Read More »Model-centric to Data-centric AI – Am I Missing Something?
DevSecOps: Top Best Practices
The efforts to find means and solutions to enable safe and quick development of software have led us to the doorstep of DevSecOps. But what… Read More »DevSecOps: Top Best Practices
DevOps Trends 2021: DevOps Enters a New Decade with the Hottest Trends
Have you heard IDC’s latest predictions on DevOps? According to this study, the DevOps market expects to grow from $2.9 billion to $8 billion by… Read More »DevOps Trends 2021: DevOps Enters a New Decade with the Hottest Trends
DevOps Trends 2021: DevOps Enters a New Decade with the Hottest Trends
Have you heard IDC’s latest predictions on DevOps? According to this study, the DevOps market expects to grow from $2.9 billion to $8 billion by… Read More »DevOps Trends 2021: DevOps Enters a New Decade with the Hottest Trends
MLOps: Comprehensive Beginner's Guide
MLOps, AIOps, DataOps, ModelOps, and even DLOps. Are these buzzwords hitting your newsfeed? Yes or no, it is high time to get tuned for the… Read More »MLOps: Comprehensive Beginner's Guide