AI tech terms you should be familiar with before 2027

Data fusion

It is the process of getting and integrating data from multiple sources to create information that is more useful, accurate, and consistent

Ambient intelligence

Ambient intelligence (AmI) is a multidisciplinary approach that seeks to make our everyday environments intelligent and sensitive to us.

Statistical relational learning

Statistical relational learning is a subdiscipline of artificial intelligence and machine learning that is concerned with domain models.

Conversation stitching

Conversation stitching allows you to manage conversations with ease by pulling all your conversations across multiple channels in one view.

Neuro Linguistic Programming

Neuro-Linguistic Programming is a psychological approach to understand how an individual behaves in order to achieve a certain goal.

Conversational UX

Conversational UX is the design of the user’s experience interacting with the business or service within an automated conversational interface.

Occam’s razor

Occam’s razor (which is also spelled ‘Ockham’s razor’) is the Law of Economy or the Law of Parsimony which is a problem-solving principle.

Reification

Reification is the process through which an abstract idea regarding a computer application is converted into an object or explicit data model

Webhooks

Webhooks are essentially “user-defined callbacks made with HTTP”. Webhooks is how your applications can interact and communicate with each other.

Application Programming Interface (API)

API or Application Programming Interface refers to how data is obtained from multiple applications through an interaction between them.

Image processing

Image processing involves carrying out certain operations on an image to enhance that image or to exact some valuable insights or information from it.

Hub and spoke

Hub and spoke is a centralized warehousing system resembling a bike wheel. The hub is a distribution center and every spoke is a delivery direction.

AI in customer service

Customer service in the form of self-support can be enabled with the help of AI-powered digital customer support services via chatbots and live chat.

CX Tech Ecosystem

CX Tech Ecosystem is created from the many tools needed to integrate, automate, and operate customer interactions across the customer lifecycle.

Loss Function

The loss function is the function that computes the distance between the current output of the algorithm and the expected output.

Bias-variance tradeoff

The bias-variance tradeoff is a concept in machine learning refers to the inversely proportional relationship between bias and variance.

Contextual Routing

Contextual Routing helps to respond to customer needs by creating visual maps of their journey, supporting cross-sell and upsell opportunities.

In-App Support

The support system provided to your customers by your customer service team, within the application of their preference is known as in-app support.

Smart responses

A Smart Response is a tool used by Engati to streamline and make it easier to set up a chatbot as quickly and effectively as possible.

Conversational Marketing

Conversational marketing is all about having one-to-one conversations online, in real-time. It can help you in your business marketing strategy.