The Microsoft Linguistic Analysis C# Sample Code by Windows demonstrates API usage to access language analysis components. With the code as a reference, developers can analyze text, separate sentences, tag part of speeches, and parse sub-phrases.
This is the part two of a three-part series covering KPIs for APIs, based on John Musser's presentation at the Business of APIs Conference. This post covers developer funnels and potential KPIs, measuring the app ecosystem, and how developer experience can make or break your API.
Hard on the heels of a recent move to make its Watson supercomputer a service that developers can invoke via RESTful APIs, IBM is now making $100 million available to help developers build cognitive computing applications that can run on top of Watson.
One the one hand Big Data is supposed to be one of the best things to happen to IT since the invention of the database. After all, managing massive amounts of data should make IT more relevant than ever. But as Big Data continues to evolve it’s starting to look like managing all that data is beyond the scope of many IT organizations. As a result line of businesses are turning to raft of emerging Big Data services in the cloud that allow them to analyze massive amounts of data by invoking a relatively simple API.