Devops people speak of “build pipelines” to describe how software is taken from source code to deployment ... machine learning flow is more cyclical: Data comes in, it is used to train a model ...

Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning ... Data Acquisition: Gather comprehensive customer data from various sources. • Model Building: Develop ML ...

It provides a standard, high-performance protocol for transmitting tensor data over the network ... to open source it to try and move machine learning model deployment forward.

SAN FRANCISCO--(BUSINESS WIRE)--Iterative, the MLOps company dedicated to streamlining the workflow of data ... Machine Learning Engineering Management (MLEM) – an open source model deployment ...

MLOps platform Iterative, which announced a $20 million Series A round almost exactly a year ago, today launched MLEM, an open source Git-based machine learning model management and deployment tool.

which is the deployment stage. “If you think about the life cycle of a machine learning model, first you have all your data wrangling and engineering to get it ready for analysis,” explained ...