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Business is about AI

The essential guide to Applied AI in business

Master the new foundation of business and technology

This guide provides a comprehensive overview of Applied AI—the use of Artificial Intelligence and Machine Learning (ML) to drive practical business value, automate decision-making, and create new revenue streams. Applied AI is the skill set that solves problems for the future-ready enterprise.

What is Applied AI?

Applied AI is the discipline of taking foundational AI models and algorithms and integrating them directly into business processes to achieve specific, measurable outcomes. It focuses on the application and implementation of AI, not the theoretical research behind it.

Applied AI focuses on:

  • Automation of Knowledge Work: Using LLMs (Large Language Models) and generative tools to automate content creation, report summarization, and data processing.

  • Predictive Analytics: Building ML models to forecast sales, predict customer churn, or optimize supply chains.

  • Customer Experience (CX) Enhancement: Implementing AI-powered chatbots, personalized recommendations, and instant support tools.

In the AI era, business value comes from people who can translate complex AI capabilities into simple, profitable business solutions.

Half of AI job postings are outside of tech

49-51% of AI job postings are outside of IT and computer science occupations according to Lightcast job postings data as of 2025. Job postings mentioning at least one AI skill advertised salaries that were an average of 28% higher that those without. Get the salary boost with the skills in demand.

High-growth careers and salaries in Applied AI

Applied AI skills are commanding premium salaries across all industries because they directly impact efficiency and revenue. A credential in this domain positions you as the critical bridge between technology and business results.

AI Product Manager Image

Information Systems Managers

Oversees tech development and strategy, including AI initiatives

Average Annual Salary: $164,070

Copy of AI Product Manager Image

Data Scientist

Uses analytical tools and models to extract meaningful insights from data, driving predictive business strategy

Average Annual Salary:
$112,590

AI Pillar Page 3

Prompt Engineer

Focuses on optimizing the inputs (prompts) and outputs of large language models for business use cases

Average Annual Salary: 
$182,000

Data Analyst

Turns raw data into insights by collecting, organizing, and analyzing it. Using Excel, SQL, and Tableau, they uncover trends that support smart business decisions

Average Annual Salary:
$103,790

Living in an AI world

What is AI and how does it function?

We teach AI. We use AI. We show you how to use AI tools. This video was created using Google's NotebookLM. Check out the overview, and check out NotebookLM for yourself!

Learn how we keep it relevant

Learn more about AI, Business, CX, Project Management and Product Management

Prompt Engineer salary data from LiftmyCV, 2025; Information Systems Manager, Data Analyst and Data Scientist salary data from Bureau of Labor Statistics, May 2024