Google Launches Cloud Based API for Human Language Understanding

The new API platform will strengthen its existing intelligence services for a deeper understanding of human communication in natural language.

GoogleGreatResponder.com  Google Corporation is aggressively pursuing its ambitions in the domain of cloud computing technologies by providing the innovative ideas with the help of cutting edge technologies. It has announced a new cloud based API platform in the beta version that will understand the human communication in natural languages.

It was also announced that this application would strengthen the previously launched cloud service of the company named as “Parsey McParseface”. Both of these applications have been released in the beta version yet, but the full version will be released soon. It was further informed through the official statement that the main objective of launching of this application is to allow the software developers to create such applications that can understand the communication between the human in a more natural way that the existing services.

The statement further elaborated that Google would be a bit closer in the fierce race to capture the bigger share in the cloud marketplace. This platform will help the software engineers to cope with the challenges that arise in solving the complex mechanism of human communication among the human being. This platform would encourage the developers to develop more advanced applications that provide the intelligent assistant service through cloud automation. The chat bots would be more efficient and effective than the existing forms of automated communication with the human.

While talking about the technical aspects of the platforms, it was further explained that the newly launched application would listen to the human communication, translate it into the text for the software, which will understand, analyze the objective, location, behavior and other information regarding the communication and then it will create the response to that communication in a more effective way.

Google is focusing on multiple innovative projects that are in synch with its wide spread service portfolio and expertise in the business intelligence. Newly launched two cloud based APIs would complement each other to create much stronger and robust platform for the developers so that they can create some innovative ideas and projects.

Many people in the industry believe that Google is going very aggressively into the domain of cloud computing services during many past years, especially in private and hybrid cloud services to provide a tough competition to its major competitors, such as AWS, Microsoft Azure, and others.

Google brings note-taking app Keep to iPhone

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More than two years after launching Google Keep on Android, the company is finally bringing its note-taking app to iOS: Google rolled out a new version of Keep for iPhones and iPads Thursday.

Like the Android and web version of the app, Keep on iOS allows you to arrange your notes into a sticky-note-like interface. Notes are synced with your Google account so you can access them across devices.

Though not as full-featured as some competitors like Evernote, Google’s free app offers much more than Apple’s new Notes app. Recorded voice memos are automatically transcribed and you can share notes with people you know so others can collaborate on a checklist, for example. Read more…

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Google promises a Hadoop or Spark cluster in 90 seconds with Cloud Dataproc

Getting insights out of big data is typically neither quick nor easy, but Google is aiming to change all that with a new, managed service for Hadoop and Spark.

Cloud Dataproc, which the search giant launched into open beta on Wednesday, is a new piece of its big data portfolio that’s designed to help companies create clusters quickly, manage them easily and turn them off when they’re not needed.

Enterprises often struggle with getting the most out of rapidly evolving big data technology, said Holger Mueller, a vice president and principal analyst with Constellation Research.

“It’s often not easy for the average enterprise to install and operate,” he said. When two open source products need to be combined, “things can get even more complex.”

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