This year, at Build, we have an incredible 31 sessions covering Power Platform and Azure. This volume of sessions at a professional developer conference is a turning point for the Power Platform, so I wanted to take a moment and reflect on this growing fusion of low-code and code-first development.
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Embed testing in your application life-cycle by automatically running your canvas tests from your Azure DevOps build and release pipelines.
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AI Builder prediction models now support a preview capability to predict a number. Now you can use AI builder intelligence to predict things like product ratings, price estimates, time to completion, and so on.
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This post describes how to manage Approvals in a Power Apps canvas app by leveraging a Custom connector that extends the capabilities of the Approvals connector.
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AppSource checker is now available in ISV Studio (public preview), helping make the certification process faster and more efficient. AppSource checker allows an ISV to check against the AppSource certification criteria of an app prior to submitting for AppSource certification.
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Introducing location intelligence and geospatial capabilities on the Power Platform
» Więcej informacji Do you own a service or API that you are looking to connect to Power Apps, Power Automate, or Azure Logic Apps? Have you built a custom connector for it? If so, get it certified by Microsoft in ISV Studio today, making it visible to the public to help drive usage of your service and APIs.
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Sancho Harker from Pinnacle Group helped transform several business processes that were manual, outdated and paper driven. Learn about Sancho’s Power Apps journey and the solutions he built to conduct health and safety audits, centralize profit center listings, manage innovation ideas, and more.
» Więcej informacji In this blog post, we will see how one can use various out-of-box Power Platform capabilities to build a flexible control to render a business process flow within a Canvas app. We’ve also included a pre-built solution as a sample implementation. The solution leverages Canvas Components, Common Data Service APIs via a custom connector and flows to build a re-usable component that can be used with any business process flow.
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We are changing the structure of error messages that are returned using the Common Data Service Web API, our OData v4 RESTful web service. We are removing the innererror property that appears in the JSON response from the server when an error occurs.
» Więcej informacji We’ve updated the prediction model performance page in AI Builder. Now, there’s a performance grade to help give you a better idea of how the model is performing. We’ve also added a new performance tab on the training details pane to provide more detailed information to help you evaluate performance. These improvements help you decide when a model is ready to publish.
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