In the natural language processing (NLP) domain, pre-trained language representations have traditionally been a key topic for a few important use cases, such as named entity recognition (Sang and Meulder, 2003), question answering (Rajpurkar et al., 2016), and syntactic parsing (McClosky et al., 2010).
At Microsoft, we put our cloud and artificial intelligence (AI) tools in the hands of those working to solve global environmental challenges, through programs such as AI for Earth.
Kyligence Analytics Platform is a leading big data intelligence platform powered by Apache Kylin. It enables interactive analytics with sub-second query latency, even on massive data-set. We are happy to announce that the Kyligence team and Azure HDInsight team have worked closely with each other to bring OLAP capabilities to HDInsight, and KAP is now available on Azure HDInsight as an HDInsight application.
We are excited to announce that H2O’s AI platform is now available on Azure HDInsight Application Platform. Customers can now use H2O.ai’s Sparkling Water solution on a HDInsight cluster along with Azure’s collection of cloud services. Together, the H2O team and Azure HDInsight team will integrate technologies to deliver enterprises the best business solutions and to build relationships within the open analytics community.
Deep learning is impacting everything from healthcare to transportation to manufacturing, and more. Companies are turning to deep learning to solve hard problems, like image classification, speech recognition, object recognition, and machine translation. This blogpost describes how to enable Intel’s BigDL Deep Learning Spark module on Microsoft’s Azure HDInsight Platform.