Analytics in Azure remains unmatched with new innovations
Digital disruption has created unlimited potential for companies to embrace data as a competitive advantage for their business.
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New Azure Machine Learning updates simplify and accelerate the ML lifecycle
With the exponential rise of data, we are undergoing a technology transformation, as organizations realize the need for insights driven decisions. -
A deep dive into what’s new with Azure Cognitive Services
Microsoft Build 2019 marks an important milestone for the evolution of Azure Cognitive Services with the introduction of new services and capabilities for developers. -
AI-first content understanding, now across more types of content for even more use cases
Today, data isn’t the barrier to innovation, usable data is. -
Digitizing trust: Azure Blockchain Service simplifies blockchain development
In a rapidly globalizing digital world, business processes touch multiple organizations and great sums are spent managing workflows that cross trust boundaries. -
Intelligent edge innovation across data, IoT, and mixed reality
We are at an incredibly exciting technology inflection point. -
Making AI real for every developer and every organization
AI is fueling the next wave of transformative innovations that will change the world. -
Building recommender systems with Azure Machine Learning service
Recommendation systems are used in a variety of industries, from retail to news and media. -
Migrating big data workloads to Azure HDInsight
Migrating big data workloads to the cloud remains a key priority for our customers and Azure HDInsight is committed to making that journey simple and cost effective. -
Understanding HDInsight Spark jobs and data through visualizations in the Jupyter Notebook
The Jupyter Notebook on HDInsight Spark clusters is useful when you need to quickly explore data sets, perform trend analysis, or try different machine learning models.
Explore Microsoft Foundry
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