Review: Microsoft Azure AI and Machine Learning aims for the enterprise
Microsoft Azure combines a wide range of cognitive services and a solid platform for machine learning that supports automated ML, no-code/low-code ML, and Python-based notebooks. Credit: Dreamstime
Microsoft has a presence in most enterprise development and IT shops, so it’s not a surprise that the Azure AI and Machine Learning platform has a presence in most enterprise development, data analysis, and data science shops. Enterprise AI often has demanding requirements, and the Azure offerings do their best to meet them.
Azure AI and Machine Learning includes 17 cognitive services, a machine learning platform pitched at three different skill levels, cognitive search, bot services, and Azure Databricks, an Apache Spark product optimized for the Azure platform and integrated with other Azure services.
Microsoft has a presence in most enterprise development and IT shops, so it’s not a surprise that the Azure AI and Machine Learning platform has a presence in most enterprise development, data analysis, and data science shops. Enterprise AI often has demanding requirements, and the Azure offerings do their best to meet them.
Azure AI and Machine Learning includes 17 cognitive services, a machine learning platform pitched at three different skill levels, cognitive search, bot services, and Azure Databricks, an Apache Spark product optimized for the Azure platform and integrated with other Azure services.
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Rather than force companies to run all Azure services on the Azure platform, Microsoft also offers several Docker containers that allow companies to use AI on premises. These support a subset of Azure Cognitive Services, and allow companies to run the cognitive services within their firewall and near on-prem data, which is a sine qua non for companies with tight data security