Microsoft showcases power Apps with AI at the Atlaata Business Application Summit

June 15th, 2019 by Stephen Jones Leave a reply »

Microsoft is in Atlanta is hosting its Business Application Summit where it is announcing three significant updates to its Power Platform to give users new tools and more advanced features.
- AI Building and PowerApps Portal,
- updated AI capabilities for PowerBI,
- enhanced cognitive/AI capabilities in Microsoft Flow.

Microsoft’s narrative is to democratize AI and ML f to eliminate the need for years of coding experience to properly utilize the technology in your application or at your company – ‘Citizen developers’.

Power BI’s new UI is more closely aligned to other Office 365 applications
• Text and image analytics in Power BI powered by Azure Cognitive Services, and the ability to invoke Azure ML models are now generally available.
• Microsoft announced two new AI visuals—Distribution Changes analyzes what makes a distribution look different, and the Decomposition Tree enables users to drill into any dimension to understand what is driving a key metric.
• Microsoft is expanding Power BI’s vision and text analytics capabilities, and aiso also adding entity detection and text and handwriting recognition, to enable one-click transformations for insights on unstructured data.
• For custom lifecycle management or further tuning, models created in Power BI can be exported to Azure ML.

The PowerApps Portal is a new tool that was previously in Dynamics 365 wall but is now available directly with PowerApps to enables customers to create websites that can be accessed by external users with a wide variety of identities, including personal accounts, LinkedIn, and other Azure Active Directory organizations, and enable anonymous access to content.

The Microsoft Flow, app will have AI capabilities and In conjunction with AI Builder, Flow users can extract data from images and text to drive logic in their processes to make more informed decisions.

Making AI more accessible in the power applications means that rather than have to model your application around an AI framework , AI and ML can be built around your application.

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