Practical Artificial Intelligence: An Enterprise Playbook
A practical introduction to enterprise AI for readers making business and technology decisions.
By Kashyap Kompella and Alan Pelz-Sharpe
Written with Alan Pelz-Sharpe, this book introduces enterprise AI and the practical work of applying it in organizations. It is a starting point for readers who want to understand adoption without requiring a specialist technical background.
Read it for
- A grounding in enterprise AI concepts.
- The questions involved in beginning and managing AI work.
- A practical bridge between business objectives and technology choices.
Published in 2019, the book provides historical context for enterprise AI adoption. For more recent governance perspectives, explore the governance and regulation guide and selected insights.
- Published
- 2019
Questions about Practical Artificial Intelligence.
Who is Practical Artificial Intelligence written for?
The book is an enterprise playbook for readers considering how AI applies to organizations. Its emphasis is practical adoption rather than specialist model development.
Readers can carry that enterprise focus into newer AI decisions by looking at where the technology is used and what the result needs to achieve. Kashyap’s later article on business applications offers concrete examples that help connect broad AI knowledge with the work of individual functions. Read more about practical business applications.
Do I need a technical background to read it?
It is intended to help enterprise readers understand AI and its business applications. A specialist background in machine learning is not the starting requirement.
Accessible tools can make experimentation easier, but they do not remove the need to understand the problem or evaluate the result. Kashyap’s article on no-code and low-code AI examines how these tools broaden participation in AI development and where an organization still needs expertise. Read more about no-code and low-code AI.
Who wrote the book, and when was it published?
Kashyap Kompella and Alan Pelz-Sharpe co-authored Practical Artificial Intelligence: An Enterprise Playbook. It was published in 2019.
Does the book cover today’s generative AI tools?
It predates the current generation of widely used generative AI tools. Read it for enterprise foundations, and use current articles for developments in agents and language models.
The distinction is useful when choosing reading material: enterprise questions may endure while particular tools and implementation choices change. Kashyap’s more recent discussion of business uses for generative AI provides an accompanying view of applications that emerged after the playbook’s publication. Read more about generative AI in business.
Why does human involvement matter in practical AI adoption?
Kashyap’s discussion of the book emphasizes continuing human involvement and governance as ways to address bias and project failure. Adoption requires attention beyond the algorithm.
Human involvement should connect to clear standards for how AI is used and assessed. Good intentions need corresponding responsibilities and ways to detect problems. Kashyap’s article on ethical and responsible AI explains how principles and implementation reinforce each other as organizations move from experimentation to use. Read more about putting responsible AI into practice.
What is your next AI decision?
Talk to us about your business priorities, an investment, or your team’s learning needs.