---
title: Machine Learning and analytics in the Cloud
description: In this on-demand webinar, senior data science leaders review the array of technologies that are available for machine learning in the cloud, and answer the question of what to use and when and how.
image: https://www.coriniumintelligence.com/hubfs/Data%20Champions%20Online%20_%20Europe%20(19).png
---

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# Machine Learning and Analytics in the Cloud

Watch the on-demand session here

![Data Champions Online _ Europe (19)](https://www.coriniumintelligence.com/hs-fs/hubfs/Data%20Champions%20Online%20_%20Europe%20(19).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.**  
**

 

In this on-demand webinar, senior data science leaders review the array of technologies that are available for machine learning in the cloud, and answer the question of what to use and when and how. They then review a set of case studies that show how easy it can be to build applications based on sophisticated AI and machine learning

**Speakers:**  
Steven Hillion, Senior Director - Data Science, TIBCO Software  
Vaibhav Gedigeri, Data Scientist, TIBCO Software

![Data Champions Online _ Europe (19)](https://www.coriniumintelligence.com/hs-fs/hubfs/Data%20Champions%20Online%20_%20Europe%20(19).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.**  
**

 

In this on-demand webinar, senior data science leaders review the array of technologies that are available for machine learning in the cloud, and answer the question of what to use and when and how. They then review a set of case studies that show how easy it can be to build applications based on sophisticated AI and machine learning

**Speakers:**  
Steven Hillion, Senior Director - Data Science, TIBCO Software  
Vaibhav Gedigeri, Data Scientist, TIBCO Software

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