By fneedle@hubspot.com (Flori Needle)

AI has transformed the business landscape, and while everyone can benefit from it, not everyone has the technological background to understand exactly how it works and what it does.

This piece is an AI glossary of all the essential terms and definitions you need to know to fully understand the technology you use.

Table of Contents

• A, B, C, D, E
• F, G, H, I, L
• M, N, O, P, R
• S, T, U, V, W

Why Artificial Intelligence Matters for Marketers

Artificial intelligence is important for marketers because it can support crucial parts of the marketing process, like SEO research, campaign personalization, data analysis, and content creation. For example, a tool like Campaign Assistant uses text inputs (also called prompts) to help marketers seamlessly and quickly create copy for landing pages, emails, and ad campaigns.

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And, when AI assists with key marketing tasks, it also saves you time that you can redistribute to focusing on optimizing your campaigns.

Read through the AI glossary below to learn more about how the AI tools you use work.

Artificial Intelligence Terms Marketers Need to Know

A

• Algorithm – An algorithm is a formula that represents a relationship between variables. In machine learning, models use algorithms to make predictions from the data it analyzes. Social media networks have algorithms that use previous behavior on the platform to show them content it predicts they’re most likely to enjoy.
• Artificial intelligence – Artificial intelligence is an area of computer science where machines complete tasks that would require intelligence if done by a human, like learning, seeing, talking, reasoning, or problem-solving.
• Artificial General Intelligence (AGI) – AGI is the second of three stages of AI, where systems have intelligence that allows them to learn and adapt to new situations, think abstractly, and solve problems on par with human intelligence. We are currently in the first stage of AI, and AGI is mainly theoretical. Also called general intelligence.
• AI analytics – AI analytics is a type of analysis that uses machine learning to process large amounts of data and identify patterns, trends, and relationships. It doesn’t require human input, and businesses can use the results to make data-driven decisions and remain competitive.
• AI assistant – An AI assistant, usually a chatbot or virtual assistant, uses artificial intelligence to understand and respond to human requests. It can schedule meetings, answer questions, and automate repetitive tasks to save time and improve efficiency.
• AI bias – AI bias is the idea that machine learning systems can be biased because of biased training data, which leads them to produce outputs that perpetuate and reinforce stereotypes harmful to specific communities.
• AI chatbot – An AI chatbot is a program that uses …read more

  Source:: HubSpot Blog

        

  

  Author: Aaron