AI in Business
Strategy, Analytics, Automation and Decision-Making
About this guide
A concise exam companion for AI in business, written for managers, not just computer scientists. It covers where AI creates value, machine learning in plain terms, analytics maturity, AI for marketing, operations and automation, generative AI, building an AI capability, deployment, measuring value, strategy and competitive advantage, governance and responsible use. Worked examples are marked the way an examiner marks them, so you can see why an answer earns the grade.
Inside the guide
- AI creates value
- Machine learning in plain terms
- Analytics maturity
- AI for marketing
- Operations and automation
- Generative AI
- Building an AI capability
- Deployment
- Measuring value
- Strategy and competitive advantage
- Governance and responsible use
Questions students ask
What does AI in Business cover?
It covers where AI creates value, machine learning in plain terms, analytics maturity, AI for marketing, operations and automation, generative AI, building an AI capability, deployment, measuring value, strategy and competitive advantage, governance and responsible use.
Who is AI in Business for?
It is written for managers and business students meeting AI, and for lecturers and librarians choosing a clear, exam-focused reading-list text.
What format does it come in?
Kindle ebook and paperback on Amazon.
Can I get a free copy?
Yes. Full Marks Press offers free review copies to students and educators at fullmarkspress.com/free.