I’m super excited to announce something I have been building for a couple of months now. I teamed up with Matt Wade and Niels Gregers Johansen who are the initiators of the Periodic Table of Office 365 to build the Periodic Table of Azure Cognitive Services. This table should help to understand which Cognitive Services are currently out there, including the following: Categorization Preview status indicators Links to the product pages As this is the first version for this kind of table, there will be more features in later releases, including description pages.
In the “jungle” of documentation and resources on the internet nowadays, it’s tough to keep the overview and know where to look for in order to seek new information about certain topics. Microsoft is now trying to unify the documentation across their products in order to have 1 place to go for. But until that is fully established, we need to conduct multiple resources. To overcome this issue in the field of the Azure Bot Service, I already released a resource cheat sheet in order to have all important sources in your pocket.
“Copy, paste… Bot!” - This is the slogan of the QnAMaker.ai service, which is one of the Cognitive Services in the knowledge category. This service offers a very easy-to-use toolset for creating, populating and publishing knowledgebases for FAQs which can be consumed by the Azure Bot Service very easy to build smart QnA Bots in a very short period of time. As the creation of such a QnAMaker knowledgebase is straightforward, the following infographic should help illustrate the process of creating, populating, testing and publishing a KB through the QnAMaker service.
A couple of months ago, I did a post about the Microsoft Cognitive Services with an infographic attached in order to better understand the various services and offerings in that area. Now a couple of months later, some things changed in that field, especially the offerings and the services (some disappeared, some have been merged and some appeared). Therefore, I updated my infographic in order to reflect the current services which are available:
With the announcement of the GA status of the Language Understanding Intelligent Service a couple of weeks ago, I was thinking about how to easily enable people in using this awesome Cognitive Service. I was asked many times on how to easily use that service but I faced a lot of open questions and confusion. That’s why I decided to create a cheat sheet to illustrate the process of creating, training and publishing a LUIS model in order to use it within a Bot or other apps which should act intelligent and understand the human language.
One of the coolest Cognitive Services APIs is finally generally available: the Text Analytics API. If you have a look at Survey 365 you will see what awesome stuff the Text Analytics API lets you do. Like in this example, you can extract text and detect the sentiment score of a given text to see if it is rather positive or negative. And all that without coding a lot. You can see the official announcement from the Microsoft Azure team about the GA information below:
During the work on my first infographic on Cognitive Services I had a hard time to get the right icons for all Cognitive Services and APIs as I used Visio to create it and there were no stencils for these services. So I decided to go with the icons, Sandro Pereira created, which are totally awesome, but unfortunately, there are some service icons missing. So I had to create the missing icons on my own in Visio, which resulted in a huge amount of working hours to get this done.
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