In just 18 months, back-end service provider Playblazer has grown its user base to 23 million game players, who have generated over 2.3 billion API calls on Azure.
Azure APIs (3)
Windows Azure Machine Learning Recommendations
||The Azure Machine Learning Recommendations service provides solutions based on predictive analysis. By additionally offering data to consume, the API features models, catalogs, features, usage data,...||Machine Learning||07.09.2015|
OEC Time Zone
||The simple OEC Time Zone API accepts a time zone as an input and returns the corresponding local time. The zone can be abbreviated (i.e. PST, EST) or spelled out in full (i.e. Eastern Standard Time...||Tools||12.03.2014|
||SentlyPlus API allows developers to use Client Credentials Grant flow of the OAuth2 specification as the authentication method. Consumers will be given access upon entering their key or secret code...||Enterprise||09.15.2014|
Mobile developers have come to rely on a number of backend-as-a-service (BaaS) offerings that make developing and deploying mobile applications a whole lot simpler. Now Sencha wants to take that that concept to the next logical conclusion in the form of an extension to its application development tools that turns the Microsoft Azure cloud into a BaaS environment for mobile applications.
MSDN’s Channel 9 recently implemented the Azure Machine Learning Algorithm API for video recommendations, with an implementation update that runs weekly to keep the model current.