Thought leadership

In this third post, we discuss how companies can move forward by identifying and filling capability gaps.

Today’s announcement of the Token Taxonomy Initiative (TTI) is a milestone in the maturity of the blockchain industry.

When it comes to executing a machine learning project in an organization, data scientists, project managers, and business leads need to work together to deploy the best models to meet specific business objectives.

Azure Security Center discovered a new cryptocurrency mining operation on Azure customer resources.

The Internet of Things (IoT) promises to help businesses cut costs and create new revenue streams, but it also brings an unsettling amount of risk.

We’re excited to announce that Forrester has named Microsoft as a Leader in The Forrester Wave™: Big Data NoSQL based on their evaluation of Azure Cosmos DB.

As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode).

With the latest release of Azure SQL Data Warehouse, Microsoft doubles-down on Azure SQL DW as one of the core data services for digital transformation on Azure.

Every organization has a unique journey to the cloud. This journey is based on the organization’s history, business specifics, culture, and maybe most importantly, their starting point.

When we discuss Azure Stack with customers, they see the value in Azure Stack providing cloud-native capabilities to their datacenters.

Do you want to analyze vast amounts of data, create Power BI dashboards and reports to help you visualize your data, and share insights across your organization?

In countries around the world, natural disasters have been much in the news. If you had a hunch such calamities were increasing, you’re right. In 2017, hurricanes, earthquakes, and wildfires cost $306 billion worldwide, nearly double 2016’s losses of $188 billion.