A picture may be worth 1,000 words but concise descriptions and annotations can help people better understand and interpret information (data). Natural language generation (NLG) technology interprets data and produces background context and analysis through textual descriptions.
SOME AREAS OF AI APPLICATION IN OUR DAILY LIVES:
1. Speech Recognition
Speech Recognition is a technology where the system captures natural conversation used by humans and converts it into instructions to perform a given tasks.
These are lots of uses for Speech Recognition and we will touch on some of these later.
As well as helping the individual users they are also used in Healthcare to assist in medical diagnosis, Defence with voice activated aircraft systems and robotics on the factory floor.
NLG and Speech Recognition
Some AI machines are designed to analyse human speech, with all its distinct characteristics, and analyse, comprehend and generate an automated version of linguistic activities and communication methods like a human. For example, the NLG program can extract the relevant text from financial news items and other official announcements to create a pattern of stock trading that is fed into an algorithmic to make trading decision software. The more it is used the more it learns and the better decisions it makes. Most stock trading decisions on the stock market is made by machines in a fraction of a second.
Another use of NLG is classification of text. This is specifically used in the control of unwanted spam emails. Several email providers use similar NLG-based services to look at the content of emails to try and understand if the mail is genuine or fake. Of course having a machine read your mail can also have some sinister implications. NLG can help you do the following:
2. Virtual Agents
The days of the customer always speaking to a human assistant is a thing of the past.
In today’s world, with the help of artificial intelligence and machine learning, Virtual Assistants, also known as Bots, are designed to assist with very specific and customised responses to the queries of the customer.
From maintaining a contact centre to catering for various business functions such as Finance, Accounting, HR and IT helpdesk, virtual agents can take care of complex situation-based query solving.
Conversational AI is a set of technologies that enable computers to simulate full conversations with humans and offer an interface between the human user and other systems. This form of AI is preferred because is offers speed of response and is engaging for the user.
The amount of queries that can be handled by a company can be increased when using conversational AI as the resolution time is less and queries solved effectively. When implemented quickly the customer also gets a faster response to their enquiry.
An Application Programming Interface (API) is a set of functions, procedures, methods or classes used by computer programs to request services from the operating system, software libraries or any other service providers running on the computer. A computer programmer uses the API to make application programs.
An API works by communicating with and exchanging data with other systems, acting as a messenger between the user and the system to retrieve the necessary data the user is requesting from the system.
It is simply a set of routines, protocols, and tools for building software applications. The aim of these APIs is to help developers build intelligent applications without having direct AI or data science skills.
The API is the interface between the developer’s code and the components of complex AI systems. For example, the goal of Azure Cognitive Services is to help developers create applications that can see, hear, speak, understand, and even begin to reason.
It enables developers to create innovative applications to transform business and society.
1. Decision API’s
2. Language API
3. Search API
4. Speech API
5. Vision API