# The AI Playbook: Machine Learning Deployment

The AI Playbook by Eric Siegel sets out a six-step business practice for taking machine-learning projects from conception to deployment. Its semi-technical explanations and case studies are aimed at helping business and data professionals collaborate on project goals, predictions and operational use.

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- Price: 23.13 GBP
- Previous price: 30.00 GBP
- Discount: 23%
- Price checked: 2026-11-14T19:26:06.611Z
- Rating: 4.4 / 5
- Reviews: 83

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## At a glance

- Presents a six-step approach for guiding machine-learning projects from conception to deployment.
- Uses case studies that include UPS and FICO, alongside examples of successful and unsuccessful initiatives.
- Covers collaboration between business and data professionals, including defining predictions and how they inform operations.

## Pros

- The business-oriented framing may help stakeholders connect modelling work with process improvement.
- Customer feedback describes the explanations as clear and accessible without complex technical detail.

## Specifications

### Publication details
- Publisher: MIT Press
- Publication date: 6 Feb. 2024
- Language: English
- Print length: 248 pages
- ISBN-10: 0262048906
- ISBN-13: 978-0262048903
### Dimensions and installation
- Weight listed: 476 g
- Dimensions: 16 x 2.2 x 23.5 cm

## A good fit for

- Business professionals involved in planning or sponsoring machine-learning projects.
- Data professionals seeking a strategic framework for collaborating with business stakeholders.
- Readers looking for an accessible, deployment-focused introduction rather than a highly technical manual.

## Less suited to

- Readers seeking a hands-on coding textbook or detailed technical implementation reference.

## Customer feedback

Customer feedback highlights the book’s clear explanations, practical value and guidance on pitching data-modelling projects for business process improvement. Readers also describe a step-by-step approach to deployment challenges. This may suit stakeholders seeking an accessible business framework, while the available feedback does not establish how much technical depth readers can expect.
- Positive themes: Customer feedback describes the content as valuable and the explanations as clear and accessible.
- Positive themes: Reported strengths include guidance on presenting data-modelling projects for process improvement and a step-by-step deployment approach.

## Frequently asked questions

### What is The AI Playbook about?
It describes a six-step practice for moving machine-learning projects from conception to deployment, with a focus on business and data teams working together.
### Is this a technical machine-learning textbook?
The listing describes semi-technical background and accessible explanations. It is positioned around deployment practice and collaboration, not as a coding manual.
### What case studies are mentioned?
The listing cites case studies involving UPS and FICO, as well as examples of successful and unsuccessful initiatives.

## Alternative options

- [Co-Intelligence: The Definitive, Bestselling Guide to Living and Working with AI](https://bargainpostbox.co.uk/visit/the-ai-playbook-machine-learning-deployment)

## Add-ons

- [Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die](https://bargainpostbox.co.uk/visit/the-ai-playbook-machine-learning-deployment)

## Images

![The AI Playbook: Machine Learning Deployment — 1](https://bargainpostbox.co.uk/i/F8SzxvHjG7yX0mDwN40luNDLnNzLLA3iDm2ET9JfB5Lq3MDBBgaKLla3nO8HW_PgeJNESJ7GCutYlcqSW6N4CKRC3J9av9Ptf64tdbsfNa-FYDFzcwGW.jpg)