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Recommendation systems are an important technology for most online businesses and for e-commerce sites in particular. They’re an essential element in generating good conversion and maintaining customer loyalty.

MLOps, or DevOps for machine learning, is a set of practices that aim to automate and improve the collaboration between data scientists and software engineers. It helps organizations better manage the complexities of developing and deploying machine learning models in production. In this article, we will review the top-5 most trending open source MLOps tools listed on OSSInsight.io in 2022.

Note that you have 7 people now; it is not a small team. Execution should be fast.

Twenty years ago, “hybrid” was a term used only by botanists and chemists. Today, hybrid is booming… even in search. Many search systems are rolling out hybrid search schemes with the latest AI. But is "hybrid search" really more than a buzzword?

Today, businesses and developers are keen to use cloud for deep learning. Especially with the GPU cloud instances, you pay as you go. It is much more cost-efficient comparing to having an expensive metal machine in the office. But let's switch the role now. Say you are the GPU cloud provider, and you provide the GPU environment for hosting other users applications. The problem now becomes, how can you, as this platform provider, lower down the GPU costs to maximize the profit?