Microsoft seeks to help enterprises leverage machine learning in their applications more simply through a bevy of new Azure Cognitive Services tools and machine learning models released this week. According to TechCrunch, these include new APIs for building personalization features and recognizing handwriting, enhanced speech recognition services for transcriptions, and a form recognition service for data entry automation. Additionally, Microsoft rolled out a new drag-and-drop automated machine learning tool for developers to simplify building, training, and deploying machine learning models.
Microsoft’s Eric Boyd, corporate vice president of AI platforms, told TechCrunch that the company aims to help developers move toward an automated, collaborative mode of managing machine learning models that echoes the DevOps movement, something it’s calling MLOps:
It’s very similar to DevOps, but there’s some distinct differences in terms of how the tools operate. At Microsoft, we’re really focusing on how do we solve these problems to make developers way more productive, using these enterprise tools to drive these changes that they need across their organization.
–Eric Boyd, corporate vice president of AI Platform at Microsoft
