Microsoft AI
This year’s edition of Microsoft Build has now wrapped up, but don’t worry if you missed it!
Microsoft Azure's core offerings can be broken down into three PaaS offerings for storing and managing your high scale data workloads: Azure Data Lake, Azure Databricks and HDInsight, plus Microsoft Power BI for visualising it.
Microsoft Build was held last month, and with AI being in the news a lot lately, Microsoft had a lot to share on the topic as well.
William Darnell and Tony Barker discuss a real-world example of how you would monitor networking in Azure.
Just in case you’ve missed something, we’ve collected all of the Azure updates from last month in one place.
Azure Machine Learning provides an environment to create and manage the end-to-end life cycle of Machine Learning models. Get started today.
Is cloud the end state? Do I need to migrate all of my workloads? We have been having this conversation for years now, and the answer is a resounding no.
Organisations need to adapt to changing environments if they want to stay ahead of the competition. This usually means that software needs to change quickly too—providing more and better features and fewer bugs.
Thinking about getting started with Azure Quantum? Curious about the Q# language? Here is a selection of resources that will start you on your Quantum journey.
With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.
Just in case you’ve missed something, we’ve collected all of the Azure updates from last month in one place.
CSPM tools automatically assess your environment and tell you where you can better your security hygiene across your IaaS and PaaS services.
With Nutanix Cloud Clusters (NC2) on Microsoft Azure, you now have the ability to migrate and extend workloads to Azure without modification or retooling.