This article is the second in a four-part series designed to help companies maximize their ROI on the Internet of Things (IoT). In the first post, we discussed how IoT can transform businesses. In this post, we share insights into ... continue reading

This post was co-authored by Jeff Shepherd, Deepak Mukunthu, and Vijay Aski. Recently, we blogged about performing automated machine learning on SQL Server 2019 big data clusters. In todays post, we will present a complementary automated machine learning approach leveraging ... continue reading

This post is co-authored by Tim Burrell, Principal Security Engineering Manager and Dotan Patrich, Principal Software Engineer. As cyberattacks become more complex and harder to detect. The traditional correlation rules of a SIEM are not enough, they are lacking the ... continue reading

Businesses today are faced with the challenge of staying profitable and investing in future innovations. Speed and flexibility are the name of the game, and effective data-scaling techniques are highly sought after. Yet exploding data volumes, diverse data types, and ... continue reading

In the physical world, humans are fantastic at connecting low quality signals into high quality analysis. Consider speaking with someone in a crowded place. You may not hear every word they say, but because you are fluent in the language ... continue reading

In early March, we discovered a cyberattack that used an exploit for CVE-2018-20250, an old WinRar vulnerability disclosed just several weeks prior, and targeted organizations in the satellite and communications industry. A complex attack chain incorporating multiple code execution techniques ... continue reading

The “Top 10 actions to secure your environment” series outlines fundamental steps you can take with your investment in Microsoft 365 security solutions. In “Step 8. Protect your documents and email,” you’ll learn how to deploy Azure Information Protection and ... continue reading

DevOps is the union of people, processes, and products to enable the continuous delivery of value to end users. DevOps for machine learning is about bringing the lifecycle management of DevOps to Machine Learning. Utilizing Machine Learning, DevOps can easily ... continue reading

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. A central objective of this step is ... continue reading

In the world of manufacturing, the Industrial Internet of Things (IIoT) has come, and that means data. A lot of data. Smart machines, equipped with sensors, add to the large quantity of data already generated from quality systems, MES, ERP ... continue reading