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Microsoft Cloud, Data and AI Announcements @ Ignite 2017

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As always around this time of the year, we hold our annual conferences Ignite and Envision.  This is typically the time to pay close attention as new announcements are plenty.  Let’s walk through some of the most important announcements.

Data & AI

Machine Learning

Talking to data scientist has taught us that improvements to the end-to-end process of experimenting and deploying are much needed. Our new Azure Machine Learning offer will make data scientists more productive by introducing an IDE that will accelerate data preparation and allow you to take a DevOps type approach to data science.  Azure Machine Learning will support develop once and deploy everywhere, from on-premises to cloud using Spark, containers, GPU acceleration, to the edge with our IoT Edge.  Read more at http://bit.ly/2xv9hGL.

Azure Data Factory

Data volumes are growing and so are the number of analytics projects delivered through the cloud.  One of the important aspects of all these solutions is moving data to the cloud or pushing it back to your on-premises solution after the heavy computing has been done in the cloud.  Being able to automate the computational workload with platforms like Spark, Data Lake Analytics, … guarantees that you will benefit greatly from the pay-as-you-go model of the cloud.  With the introduction of Azure Data Factory v2 we will strengthen our data movement & orchestration solution by adding important capabilities such as trigger based execution, Integration Services runtime,  … Read more at http://bit.ly/2xvo5VP and http://bit.ly/2huxJAj.

Read the entire article here, Cloud, Data and AI Announcements @ Ignite 2017 – WesleyB’s Blog

Via the fine folks at Microsoft

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