Three features now available in GA enable you to seamlessly log inference data to a central location, set up event-driven applications, processes, or workflows based on Azure Machine Learning events, and utilize lifecycle management of features from creation through archival. Source: Microsoft Azure – aggiornamenti
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Attackers are constantly seeking new vulnerabilities to compromise Kubernetes environments. Microsoft recently uncovered an attack that exploits new critical vulnerabilities in OpenMetadata to gain access to Kubernetes workloads and leverage them for cryptomining activity. OpenMetadata is an open-source platform designed to manage metadata across various data sources. It[…]
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Manufacturing is an industry known for generating data from a wide variety of sources. From machines and sensors to enterprise systems and human interactions, companies create massive amounts of siloed data that remains an untapped resource, limiting the potential for data-driven advancements and agility. Data fragmentation created by[…]
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Introducing new manufacturing data solutions in Microsoft Fabric and copilot template for factory operations on Microsoft Azure AI. Manufacturing is one of the most data-intensive industries, as massive amounts of data are generated from sources such as sensors, machines, enterprise systems, and human interactions. However, most of this[…]
Read MoreAzure Virtual Network encryption is a feature of Azure Virtual Networks. Virtual network encryption allows you to seamlessly encrypt and decrypt traffic between Azure Virtual Machines. Source: Microsoft Azure – aggiornamenti
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