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Microsoft transforms sales planning process using the Power Platform

Headshot of article author Sameer Bhangar

In this post we look at how the Microsoft Worldwide Global Sales and Marketing Operations organization (WW GSMO) used the Power Platform to digitally transform the account planning process for thousands of enterprise accounts covering an annual $80+ billion book of business. The solution uses Power Apps, Power Automate, Power BI, Common Data Service, Azure SQL, Office 365, Microsoft Stream, LinkedIn, Dynamics 365 and Azure workloads.

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Using Business Process Flows in a Canvas App

Headshot of article author Mehdi Slaoui Andaloussi

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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Web API innererror property will be removed

Headshot of article author Jim Daly

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.

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AI Builder February update

Headshot of article author Nicolas Pouhaer

The February update to AI Builder adds even more capabilities for makers, including a simplified Object Detection wizard, additional fields recognized with Business Card Reader, improved AI Builder controls in Power Apps, and new Power Automate templates to instantly use your AI Builder models.

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AI Builder prediction now supports related entities and filtering

Headshot of article author Peter Bian

We’ve updated AI Builder prediction to include support for related entities and filtering. These capabilities give users even more flexibility in model creation. In this post, we demonstrate how these features work by building an end to end scenario for how AI Builder can help to optimize delivery performance for an e-commerce company.

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