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Some automate the process of developing and deploying machine learning models.
The service has become the focal point for training, serving, and deploying machine learning models.
Today, machine learning is quickly gaining traction with developers, and AWS wants to help remove some of the obstacles associated with building and deploying machine learning models.
Gluon was developed by the two as an open-source project and is aimed at prototyping, building, training and deploying machine learning models for the cloud, devices at the edge and mobile apps, the companies said.
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Since graduating from the MIDS program in 2017, she has processed terabytes of data to help solve advertising tech issues at Yahoo and deployed machine learning models to support various teams at ThousandEyes.
As developers start to collaborate with data scientists to build and deploy machine learning models, they look for familiar, productive environments.
Late last year, Algorithmia announced a new service that helps data scientists deploy machine learning models and host it in the Algorithmia cloud (Serverless AI Layer) or using on-premises architecture (Enterprise).
There is a divide between the tech stacks used to train and deploy machine learning models in the cloud and the ones used to build applications for edge devices, like smartphones and IoT.
This is no longer the case when you are deploying machine learning (ML) models.
As AWS CEO Andy Jassy put it while introducing the new service on stage at re:invent, "Amazon SageMaker, an easy way to train, deploy machine learning models for every day developers".
So the barrier to entry of deploying machine learning is actually getting lower and lower.
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