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The important relationship between humans and machines has grown vastly more complicated and important since the rise of natural language processing, or the ability of machines to use computational linguistics to understand us when we speak to them as if they were other people. Business intelligence, in particular, has been fundamentally upended by the rapid adoption of NLP across the market, with whimsical devices and services like Alexa and Google Home now seeming normal rather than extraordinary. However, having your machines understand you when you speak is anything but normal.
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Now that Rob has acquainted us all with the Power BI family , I wanted to take a closer look at one of the relatively new members: Rob pointed out in his last post how Microsoft seems to be targeting large enterprises; perhaps as a result we have seen many an impressive demo watch Amir Netz at WPC and James Phillips at WPC But you have to pause and consider whether the features demonstrated are eye-candy or are indeed useful in practical settings. I had imagined a Power BI world, where everyone was uploading workbooks with their own data models, after all that is what Power BI is for.
Using common phrases and natural language to ask questions of your data is powerful. If the structure of your model doesn't meet one or more of these assumptions, you'll need to adjust your model. You can try installing important updates from Windows Update or manually install the required component from Microsoft KB Relationships are the cornerstone of a good model. For example, say you have a table named CustomerSummary that contains a list of your customers.
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