Glossary of Terms

  • Bayesian networks

    This is a type of statistical model that displays a set of variables and their conditional dependencies, using a directed acyclic graph. In the field of AI, Bayesian networks are used in algorithms to illustrate inference and machine learning.

  • Behavior tree

    A mathematical model used to describe the switchings between different tasks, in a modular way. Behavior trees are typically used in computer science, video game development, and robotics.

  • bespoke

  • bias

  • Big data

    This refers to the huge complex databases accumulated by companies. Such “big data” is often outside a human’s ability to analyze, and are typically processed using advanced software. This is where AI and machine learning come into play, in order to make sense of the data.

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  • biometric

  • Bots

    In Marketing, bots are often the external AI interface that interacts with the customer. Bots come in a variety of forms, from “chatbots” that respond to instant messaging inquiries, to “social bots” used to populate social media in support of a goal, brand or advocacy.

  • Brute force

    A kind of problem-solving technique that systematically tries all out possible combinations, hence using “brute force” to solve the problem. Commonly used in conjunction with hacking, where a brute force program tries all possible password combinations.

  • business intelligence

  • Cannabase

  • Cannabis

  • career growth

  • cars

  • casino

  • chatbot

  • chatbots

  • Choreographer

  • Churn prediction modeling

    Churn refers to the number of customers who end their contract. Churn prediction models are AI-built simulations that identify the factors and underlying causes behind churn, so that marketers can take proactive measures to reduce churn and keep customers engaged.

  • Clarifai

  • Clickbait

    A derogatory term for deliberately sensational or misleading headlines (bait) for the purpose of attracting views (clicks).

  • Cloud

    A general term for the Internet. Can also refer to cloud-based storage, where data is stored on online servers, instead of locally through the device memory.

  • Cluster analysis

    A type of unsupervised machine learning that aims to find hidden patterns or grouping in a particular data set.

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  • coffee

  • Cognitive computing

    A computerized model based on how the human brain thinks. Cognitive computing uses data mining, natural language processing as well as pattern recognition.

  • Cognizant

  • community

  • Computer vision

    This technology allows machines to recognize what they are seeing using facial and object recognition. Computer vision is increasingly being used in a number of industries, from self-driving cars and autonomous drones to social media apps like Snapchat.

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  • Concept drift

    A condition where the statistical properties of the model being predicted change over time, so that predictions become less accurate as time passes.

  • Content curation

    Gathering information on a particular topic or area of interest. Pinterest is an example of curated content.

  • Content generation

    A new process where AI produces automated content in the form of text. An example is Wordsmith, a natural language generation engine that turns data into text.

  • Content management system (CMS)

    A system for the creation and modification of digital content, typically for the web. An example would be Wordpress, a popular CMS used for blogging and creating websites.

  • Conversational UI

    This refers to interaction by speech or text, as opposed to graphical UI.

  • Cookie

    In technology, cookies are small text files stored on web browsers. These are used by websites for authentication, to store user preferences, and any other data to help the browser access a specific server or website.

  • corporate

  • Cortana

  • creatoriq

  • crimes

  • crm

  • Cross & Freckle

  • Cross-channel marketing

    A marketing tactic where customers are engaged across multiple channels, not necessarily digital. This can range from websites and TV to physical billboards, events, etc.

  • Cross-device marketing

    A cohesive marketing strategy or message that targets customers across multiple devices.

  • customer engagement

  • Customer Engagment

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  • Data analytics

    Is the science of qualitative and quantitative processes used to examine data and draw meaningful insights. In today’s world of Big Data, AI and machine learning are becoming indispensable tools to make sense of the increasingly complex data that would overwhelm normal human marketers.

  • data collection

  • Data efficiency

    Refers to efficient practices for using data, such as when storing, accessing or filtering such volumes of data. Data efficiency is an important part of any enterprise, where efficient data storage and access can directly impact operating cost, revenue and manpower hours.

  • Data mining

    The process of discovering patterns and correlations within Big Data, often for practical business applications. For instance, a customer’s profile could be mined for interests, search history, or products bought.

  • data privacy

  • data security

  • datarobot

  • dataset

  • datorama

  • Deep learning

    This type of machine learning is based on learning data representations, versus narrow algorithms. Deep learning is differentiated by its use of multiple layers of calculation and is often associated with neural networks. It can be supervised or unsupervised.

  • Deepfake

  • deepfakes

  • deepnude

  • dentsu

  • digital advertising

  • Digital assistants

    Also known as voice assistants, these refer to the voice-controlled interfaces in an increasing number of gadgets. Examples include Amazon’s Alexa, Apple’s SIRI, Google Assistant, and Samsung’s Bixby, to name just a few.

  • Digital Marketing

  • distrust

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  • driving

  • Dynamic pricing

    A product strategy where price is determined based on demand, availability and the unique profile of the customer.

  • Eaze

  • ebay

  • egx

  • einstein

  • emotional intelligence

  • Entrepreneur

  • evolution media

  • Existential risk

    A hypothesis where advances in AI could result in human extinction or global catastrophe. A popular example would be the Skynet scenario in The Terminator movie franchise.

  • Expert systems

    A computer system that embodies a stored body of knowledge on a specific topic, thus emulating a human expert in that specific subject. Expert systems are comprised of a knowledge base, and an inference engine that applies rules to the stored facts in order to deduce new facts.

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  • Knowledge engineering

    A subfield of AI, this discipline tries to recreate the behavior and thought process of a human who is an expert in a specific field. Knowledge engineering aims to create expert systems, using an expandable knowledge base coupled with a rules engine so that stored knowledge can be applied to specific situations.

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  • Technological singularity

    A hypothesized event where the creation of an artificial superintelligence triggers runaway technological growth, and results in dramatic changes to human civilization.

  • textio

  • The Harris Poll

  • tpg growth

  • translation

  • Turing Test

    The test of machine’s ability to display behavior indistinguishable from that of a human. The machine is considered to have passed if the human participant is unable to distinguish if the machine he/she is interacting with is human or artificial.

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  • Uber

  • ukpolice

  • Uniform resource locator (URL)

    The web address for a specific website or webpage, commonly typed in the address bar of web browsers.

  • unilever

  • Unstructured data

    Collected data that is not organized in a specific way, such as social media posts, as opposed to a neatly ordered Excel sheet.

  • Unsupervised learning

    This type of machine learning is distinguished from supervised learning by not requiring constant human supervision. In unsupervised learning, the data isn’t labeled and the machine is left to identify patterns or correlations to make sense of the data and come up with an answer.

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