Take a look at a few tech terms that everyone needs to know.

Natural language understanding

Natural Language Understanding is a branch of artificial intelligence. It is a subfield of Natural Language Processing (NLP) and focuses on converting human language into machine-readable formats.

Conversational marketing

Conversational marketing is a way of using questions in a conversational format to guide leads through your marketing and sales funnels. It focuses on having a dialogue with your customers and creating relationships with them, thus increasing their trust in your brand.

Reinforcement Learning

Reinforcement learning is the training of machine learning models to make a sequence of decisions. The agent learns to achieve a goal in an uncertain, potentially complex environment. In reinforcement learning, artificial intelligence faces a game-like situation. The computer employs trial and error to come up with a solution to the problem.

Boltzmann machine

A Boltzmann machine is an unsupervised deep learning model in which every node is connected to every other node. It is a type of recurrent neural network, and the nodes make binary decisions with some level of bias.

Turing test

The test that verified whether a computer program is truly indistinguishable from a human came to be known as the Turing Test. This inspired computer scientists globally to strive to create programs that can beat the Turing Test.

Biometric Recognition

Biometric recognition (also known as biometrics) refers to the automated recognition of individuals based on their biological and behavioral traits. It is based on hardware systems for data acquisition that integrate the software components that allow, through mathematical algorithms, to perform data analysis and reconstruct the identity of a person and recognize it.

Interactive Voice Response

Interactive Voice Response (IVR) is an automated phone system technology that allows incoming callers to access information via a voice response system of pre-recorded messages without having to speak to an agent, as well as to utilize menu options via touch-tone keypad selection or speech recognition to have their call routed to specific departments or specialists.

Feature extraction

Feature extraction is a process of dimensionality reduction by which an initial set of raw data is reduced to more manageable groups for processing. Feature extraction is the name for methods that select and /or combine variables into features, effectively reducing the amount of data that must be processed, while still accurately and completely describing the original data set.

Confusion Matrix

A confusion matrix is a measure used to solve classification problems. It can be put to use against binary classification problems as well as multiclass classification problems. You could say that a confusion matrix is essentially a technique that can be used for summarizing the performance of a classification algorithm.

Unsupervised learning

Unsupervised learning refers to the use of artificial intelligence (AI) algorithms to identify patterns in data sets containing data points that are neither classified nor labeled. The algorithms are thus allowed to classify, label, and/or group the data points that are contained within the data sets without having any external guidance in performing that task.

Robotic Process Automation

Robotic Process Automation (RPA) is software technology that makes it easy to build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software

Interoperability

Interoperability is the characteristic of a system to work with and share data and resources with other disparate systems by using local area networks (LANs) or wide area networks (WANs). In order for systems to be considered interoperable, it must be possible for the systems to share, interpret, and present data in a manner that other systems can understand. The systems must be able to connect and communicate with each other effectively, even if they were built by different manufacturers.

Software as a Service (SaaS)

Software as a service (SaaS) is an approach to software distribution that works through the cloud delivery model. It either involves a software vendor contracting a third-party cloud provider (for example, AWS) to host the software application, allowing end-users to access it over the internet or the software vendor could host the application on their own cloud platform, which generally happens with large enterprises.

Customer centricity

Customer-centricity, also known as client-centricity, is a strategy and a culture of doing business that focuses on creating the best experience for the customer, and by doing so builds brand loyalty. Customer-centric businesses ensure that the customer is at the center of a business’s philosophy, operations, or ideas.

Customer feedback

Customer feedback is the data, issues, inputs, and insights that your customers share with you about their experience with your product, service, or brand as a whole. It helps you understand how satisfied your customers are with your offerings and helps you identify areas where improvements are required, enabling you to enhance your customer experience substantially.

Data Management Platform

A data management platform (DMP) is a unifying platform to collect, organize and activate first-, second- and third-party audience data from any source, including online, offline, mobile, and beyond. It is the backbone of data-driven marketing and allows businesses to gain unique insights into their customers.

Customer Training

Customer training is the act of educating your customers on the best ways to use your offerings and succeed at their business objectives. It involves sharing content and other forms of information to help your customers learn how to use your products to achieve their goals.

Customer Journey

A customer journey refers to all the steps, touchpoints, and interactions that your customers have with your company — from awareness to purchase and beyond. It is the entire experience they have while doing business with your organization, and focuses on how your customers feel after interacting with your company.

Semantic reasoner

A semantic reasoner is also known as a rules engine, a reasoning engine, or a reasoner. This software is capable of inferring logical consequences from the available set of axioms or asserted facts.

Swarm intelligence

Swarm Intelligence systems consist typically of a population of simple agents interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems.

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