Artificial Intelligence in Practice for Business

Wiley uses company case studies to examine AI applications across industries. Recommendations, automation and predictive analysis connect technical capabilities with a business use. It suits learners comparing patterns across organizations, while the underlying book’s 2019 publication makes it important to distinguish historical examples from current products and results.

What you will learn

• Compare AI applications across different industries.
• Connect model capabilities with business problems.
• Examine case studies as evidence for possible use cases.

Who this suits

Business professionals and interested beginners; programming is not required, while business and digital-technology familiarity helps.

Before you enroll

Use fictional or approved data when testing business tools. Check account, subscription and usage conditions before starting an automation. Compare results with a baseline and include review, failure and maintenance costs. Course examples describe possibilities; they do not establish a return on investment for a particular organization.

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Put it into practice

Choose one historical case and identify which assumptions, services and reported outcomes would need fresh verification before applying its approach today.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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