An Overview of Azure Cognitive Services

A glimpse of Azure Cognitive Services

It seems that people today are quite familiar with cognitive computing. A few of its advantages are, for example, accuracy in data analytics, a boost in process efficiency and enhancement of interactions with the clients, but it is absolutely essential that full-scale cognitive services are employed to realize them.

A lot of practical, functional and smart Application Programming Interfaces ( API) are available in Microsoft’s Azure Cognitive Services package, which is created for the apps of the cloud.

The package has the capability to fuse and link analytics, Machine Learning, Artificial Intelligence (AI), and several other tools for utmost convenience. Azure Cognitive Services also correlate and pertain to the intelligence of the systems and the manner in which humans interact with computers. The services permit humans to communicate with the computers just as though the machines have the ability to think, reply and react to the messages appropriately.

The company has integrated all these functionalities into its Machine Learning and Artificial Intelligence (AI) domain on Azure which shows up in the shape of APIs that network and hooks up with different applications. If you have a basic knowledge of working with APIs then these services can be a breeze for you to deploy and get stunning results out of them. There is no need for you to be highly proficient in either AI or Machine Learning to get benefits from these. Azure also provides client-oriented Software Development Kits (SDK) in various programming languages like Python, JavaScript and C# etc. which can be easily merge with the existing applications.

It has quite a lot of advantages, such as –

1. There is a wide range of used cases. Businesses can employ the product for multiple commercial applications due to its all-embracing and extensive domain-specific potential.

2. The effectiveness and abilities of Microsoft AI in language, speech and vision are almost as good as those of humans.

3. The deployment of the package from the cloud is swift, convenient and flexible since it has a container-based architecture and AI expertise is not necessary.

Some Cognitive services on offer:

Vision

Computer Vision allows the users to comprehend text, labels, product descriptions and sort images. Form Recognizer is the API, used to read data from forms and extricate information from documents. Custom Vision is an API which aids in detecting human faces in images securely and forecasting characteristics like gender, age, smile, facial hair and various emotions.

The API Video Indexer helps in recognizing visual content and interpreting the text in videos, extricating audio, evaluating emotions, seeking images and finally indexing all this information.

Language

The service called LUIS, an acronym for Language Understanding and Interpretation Services  utilized to induce smart gadgets, bots and apps to learn and comprehend the natural language of the users during an interaction. The API, Immersive Reader is used for drawing out meaningful information from text.

Text Analytics services used to figure out emotions and key phrases from tweets and social networking websites. This somewhat new service called Translator is utilized to facilitate real-time machine translation with the assistance of more than 90 languages.

Speech

Speech to Text and Text to Speech is a service that converts audio to text and the other way around as well. It accommodates a minimum of 80 languages. The service Speech Translation translates speeches into different languages during real-time conversations.

Speaker Recognition service assists in identifying speakers through access control and authentication.

Decision

Anomaly Detector and Content Moderator are Decision APIs which scrutinize data for swifter, more accurate and more effective decision-making.

Search

Search APIs help in finding out content on the web and thus refine and adorn applications appropriately.

Conclusion

To conclude, Azure Cognitive Services seem to provide a plethora of tools to enhance accuracy and convenience. Its capability to detect anomalies for any kind of decision-making and convenient adoption certainly makes it popular among developers.