DynamicsSubs

  Hi friends, in a D365F&O application for Warehouse Management using mobile apps, if you are planning to put an info or a warning message in the middle of a code, in response to a validation, your code might not work, if you have written a code like this: if (counter > maxNumberOfAttempts) {     warning ("You have exceeded maximum number of attempts"); } The underlying code will simply ignore it. This is because the WHMS supporting classes don't understand any info, warning or error message, unless if you have made it a part of ProcessGuideMessageData and ProcessGuideNavigationParameters classes. For example, going with the above example, we want our mobile app to throw a warning message whenever the qty given in a given for an item is more than some value. Then you need to wire up the code like this: if (counter > maxQty) {      ProcessGuideMessageData messageData = ProcessGuideMessageData::construct();      ProcessGuide...

  Amigos, in this blog, I will try to show how we can implement Azure ML Studio to predict complex forecasting answers, with the help of Azure Pipelines and ML jobs. I have covered how to setup Azure ML learning studio and pieplines, earlier in my blogposts: https://subsd365.blogspot.com/2024/08/implement-no-code-predicitve-modelling.html https://subsd365.blogspot.com/2024/09/step-by-step-azure-ml-job-to-predict.html This post would give you an impression as to how leverage large datasets to evaluate a complex possibility (any patient having chances of relapses of a disease like Cancer/ its malignancy), by doing Classification based algorithm, without practically writing a single line of code. Here goes the steps: Step 1: Creating a data-ML job -- Once you have created An Azure ML Studio Workspace, you can crawl down to Automated ML Jobs section as shown below: Click on Add and the following screen would come: Fill it out, as shown. In the experiment, I have selected New experiment...

  Wassup guys?!!! Here comes yet another interesting way to leverage your Azure AI Language services, to get the gist of a Teams meeting, once it ends and send it to all the meeting invitees. Yeah, I understand, you might wonder, Azure AI recap is already there -- why then reinventing the wheel? The reason is simple: you can customize your messsages, you can play with the depth of sumarization needed, and a lot of other tricks, which, I think, could certainly of immense help -- maybe this much of depth won't be covered by the OOB process. So, here goes the trick: step-by-step: Step 1 You need to create a Azure Language services, first of all. You can go to https://portal.azure.com and launch a new reuqest to create an Azure Language Service: Make sure you select the above option, which consequently would enable you to extract summary and text classification. Select all what you need: I had to choose the highlighted Pricing tier -- as the only option left, from the given Region. But...

  Wassup guys?!!! I am back with a brand new topic for WHMS: how to add a new screen in your WHMS mobile app, from the scratch. You might be wondering, what is new in it: we already have one in place from Microsoft, that aptly explains the process to add a new screen to mobile app: https://learn.microsoft.com/en-us/dynamics365/supply-chain/supply-chain-dev/process-guide-framework The above solution tells you to create a controller class, that contains a method called:  initializeNavigationRoute , that contains the sequence of the step of classes/navigatiion for your screens: protected ProcessGuideNavigationRoute initializeNavigationRoute ( ) { ProcessGuideNavigationRoute navigationRoute = new ProcessGuideNavigationRoute(); navigationRoute.addFollowingStep(classStr(ProdProcessGuidePromptProductionIdStep), classStr(ProdProcessGuideConfirmProductionOrderStep)); navigationRoute.addFollowingStep(classStr(ProdProcessGuideConfirmProductionOrderStep...