AI Intelligence LIVE User Guide

The AI Intelligence LIVE User Guide shows analysts, business owners, and executives how to use every platform feature, including the 18-panel Terminal, AI news, reports, trends, forum, courses, support, memberships, plans, and credits. Use its ten focused sections to find clear instructions, understand access requirements, and complete common tasks.

The AI Intelligence LIVE User Guide explains, in ten sections, how to use every part of the platform: the 18-panel AI Intelligence Terminal, AI news and executive reports, the Sunday AI Trends Report and weekly digest, the forum and topic analysis, the courses, customer support, and how memberships, plans and credits work. Section 1 below defines artificial intelligence; sections 2 to 10 each open as their own page.

Written by James Vernon· Last updated 18 September 2026

Section 1: What is AI?

What Is AI? - Introduction Video

Watch this comprehensive introduction to understand the fundamentals of Artificial Intelligence and its impact on business and society.

What is Artificial Intelligence?

Artificial Intelligence (AI) refers to computer systems designed to perform tasks that typically require human intelligence. These tasks include learning from experience, recognizing patterns, understanding language, making decisions, and solving problems. Unlike traditional computer programs that follow explicit instructions, AI systems can adapt, improve over time, and handle situations they weren't specifically programmed for.

At its core, AI attempts to mimic human cognitive functions. Modern AI systems use various techniques, with machine learning being the most prominent. Machine learning enables computers to learn from data without being explicitly programmed for every scenario. Deep learning, a subset of machine learning, uses neural networks with many layers (hence "deep") to process information in ways inspired by the human brain.

Key Components of AI Systems

  • Data: The foundation of modern AI. Systems learn patterns, relationships, and rules from vast amounts of information.
  • Algorithms: Mathematical procedures that process data and enable learning, prediction, and decision-making.
  • Computing Infrastructure: The hardware and systems that provide the processing power needed for AI operations.
  • Models: Representations of knowledge that AI systems build and refine through training.

AI exists on a spectrum from narrow (or weak) AI to general (or strong) AI. Narrow AI is designed for specific tasks—like voice assistants, recommendation systems, or image recognition—and excels within its defined boundaries. General AI, which would match or exceed human intelligence across virtually all tasks, remains theoretical. Today's most advanced systems are still forms of narrow AI, albeit increasingly sophisticated ones.

Real-World Examples of AI

Virtual Assistants

Siri, Alexa, and Google Assistant use natural language processing to understand spoken commands and machine learning to improve responses over time.

Healthcare Diagnostics

AI systems analyze medical images to detect anomalies, sometimes catching details human radiologists might miss.

Autonomous Vehicles

Tesla, Waymo, and others use AI to process sensor data and navigate roads safely.

Recommendation Systems

Netflix, Amazon, and Spotify use AI to analyze your preferences and suggest content you'll enjoy.

Fraud Detection

Financial institutions use AI to monitor transactions and flag unusual patterns that might indicate fraud.

Language Translation

Google Translate and DeepL use neural networks to translate between languages with remarkable accuracy.

Why is AI Important?

Artificial Intelligence represents one of the most significant technological shifts in human history. Its importance extends beyond just technological innovation—AI is reshaping how we work, live, and interact with the world around us.

Unprecedented Productivity and Efficiency

AI systems can process vast amounts of data far faster than humans, automating routine tasks and freeing people to focus on more creative, strategic work. The McKinsey Global Institute estimates AI could deliver $13 trillion in additional global economic activity by 2030.

Solving Complex Global Challenges

Climate scientists use AI to improve climate models. Medical researchers use AI to accelerate drug discovery. AI-powered agricultural systems optimize crop yields while minimizing resource usage.

Enhancing Human Capabilities

AI augments human capabilities rather than replacing them. Surgeons use AI-assisted systems for greater precision. Teachers use AI tools to personalize education. Creative professionals use generative AI to explore new ideas.

The Ten Sections at a Glance

Compare what each section covers, who it is written for, and whether you need an account to use the features it describes.

AI Intelligence LIVE User Guide sections compared
SectionWhat it coversBest forAccount needed
1. What is AI?Definitions, key components, real-world examples, why AI mattersNewcomers to AINo
2. Features & BenefitsEvery feature of the platform and the value each one deliversBuyers evaluating the platformNo
3. Become a MemberSigning up, membership levels and what unlocksNew usersFree to read
4. Floating IconsThe on-screen shortcut icons and what each one doesDaily usersMembership
5. AI News & ReportsNews feed, executive reports, multi-article reports, article packagesAnalystsMembership
6. Trends Report & DigestSunday Trends Report (14 sections) and the weekly digestExecutivesSubscription
7. Customer SupportTickets, response times and how the AI support system worksAll usersMembership
8. Intelligence TerminalAll 18 panels, exports, watchlists, saved answers, How scoredAnalysts & business ownersTerminal plan
9. Plans, Credits & AccountAll five plans, prices, credit costs, billing and team seatsDecision makersNo
10. Forum, Analysis & CoursesForum, topic analysis, multilingual analysis and the coursesLearnersMembership

That is Section 1. Continue with Section 2 to see everything AI Intelligence LIVE can do.

Next: Features & Benefits