Machine Learning and Analytics in the Cloud
Watch the on-demand session here
.png?width=1200&name=Data%20Champions%20Online%20_%20Europe%20(19).png)
Analytics has been one of the last enterprise systems to move to the cloud, but the situation has changed fundamentally in just the last year or two. There is suddenly a proliferation of cloud-based databases, and of open-source development frameworks like SageMaker and TensorFlow — all of them now being heavily promoted by the major cloud vendors. If you know your way around all the available components, it can be easy to build even the most sophisticated machine learning models for everything from image recognition to fraud detection.
Analytics has been one of the last enterprise systems to move to the cloud, but the situation has changed fundamentally in just the last year or two. There is suddenly a proliferation of cloud-based databases, and of open-source development frameworks like SageMaker and TensorFlow — all of them now being heavily promoted by the major cloud vendors. If you know your way around all the available components, it can be easy to build even the most sophisticated machine learning models for everything from image recognition to fraud detection.