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 ...

Promote can then scale each model ... the deployment." Other vendors have tried various approaches to address the data science operationalization issue. Microsoft's Azure Machine Learning ...

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 ...

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.

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.