---
product_id: 444858202
title: "AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning"
price: "S/.256"
currency: PEN
in_stock: true
reviews_count: 6
url: https://www.desertcart.pe/products/444858202-ai-powered-business-intelligence-improving-forecasts-and-decision-making-machine
store_origin: PE
region: Peru
---

# AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning

**Price:** S/.256
**Availability:** ✅ In Stock

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- **What is this?** AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
- **How much does it cost?** S/.256 with free shipping
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## Description

desertcart.com: AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning: 9781098111472: Zwingmann, Tobias: Books

Review: Great book - Helpful and easy to follow
Review: Fantastic book! - I found the book - AI-Powered Business Intelligence - to be a quick and thoroughly useful read. Zwigmann's great skill is providing frameworks to categorize and group ideas. Examples of this include: 1. A categorization of analytics types - Descriptive Analytics (what happened), Diagnostic (why it happened), Predictive (What is likely to happen), and Prescriptive (how to make ithappen) 2. "Use Case Segments" which maps AI use cases on a feasibility and impact matrix. Another big plus for the book is the practical examples provided with actual datasets available on the book's companion website. If you are unfamiliar with machine learning, the author covers these areas at a level that can quickly get you up to speed. You will get practical exposure to important ML ideas like classification, regression, reinforcement learning etc. and metrics like precision, recall and F1 Scores. The book also gives a great introduction to tools like Power BI, AutoML and other Microsoft and Azure services I found the book - AI-Powered Business Intelligence - to be a quick and thoroughly useful read. Zwigmann's great skill is providing frameworks to categorize and group ideas. Examples of this include: 1. A categorization of analytics types - Descriptive Analytics (what happened), Diagnostic (why it happened), Predictive (What is likely to happen), and Prescriptive (how to make ithappen) 2. "Use Case Segments" which maps AI use cases on a feasibility and impact matrix. Another big plus for the book is the practical examples provided with actual datasets available on the book's companion website. If you are unfamiliar with machine learning, the author covers these areas at a level that can quickly get you up to speed. You will get practical exposure to important ML ideas like classification, regression, reinforcement learning etc. and metrics like precision, recall and F1 Scores. The book also gives a great introduction to tools like Power BI, AutoML and other Microsoft and Azure services.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #1,533,231 in Books ( See Top 100 in Books ) #226 in Machine Theory (Books) #300 in Business Intelligence Tools #2,903 in Artificial Intelligence & Semantics |
| Customer Reviews | 4.2 4.2 out of 5 stars (16) |
| Dimensions  | 7 x 1 x 9.25 inches |
| Edition  | 1st |
| ISBN-10  | 1098111478 |
| ISBN-13  | 978-1098111472 |
| Item Weight  | 2.31 pounds |
| Language  | English |
| Print length  | 389 pages |
| Publication date  | July 19, 2022 |
| Publisher  | O'Reilly Media |

## Images

![AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning - Image 1](https://m.media-amazon.com/images/I/818TACiayoL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Great book
*by G***3 on October 23, 2024*

Helpful and easy to follow

### ⭐⭐⭐⭐⭐ Fantastic book!
*by D***G on November 25, 2023*

I found the book - AI-Powered Business Intelligence - to be a quick and thoroughly useful read. Zwigmann's great skill is providing frameworks to categorize and group ideas. Examples of this include: 1. A categorization of analytics types - Descriptive Analytics (what happened), Diagnostic (why it happened), Predictive (What is likely to happen), and Prescriptive (how to make ithappen) 2. "Use Case Segments" which maps AI use cases on a feasibility and impact matrix. Another big plus for the book is the practical examples provided with actual datasets available on the book's companion website. If you are unfamiliar with machine learning, the author covers these areas at a level that can quickly get you up to speed. You will get practical exposure to important ML ideas like classification, regression, reinforcement learning etc. and metrics like precision, recall and F1 Scores. The book also gives a great introduction to tools like Power BI, AutoML and other Microsoft and Azure services I found the book - AI-Powered Business Intelligence - to be a quick and thoroughly useful read. Zwigmann's great skill is providing frameworks to categorize and group ideas. Examples of this include: 1. A categorization of analytics types - Descriptive Analytics (what happened), Diagnostic (why it happened), Predictive (What is likely to happen), and Prescriptive (how to make ithappen) 2. "Use Case Segments" which maps AI use cases on a feasibility and impact matrix. Another big plus for the book is the practical examples provided with actual datasets available on the book's companion website. If you are unfamiliar with machine learning, the author covers these areas at a level that can quickly get you up to speed. You will get practical exposure to important ML ideas like classification, regression, reinforcement learning etc. and metrics like precision, recall and F1 Scores. The book also gives a great introduction to tools like Power BI, AutoML and other Microsoft and Azure services.

### ⭐⭐⭐⭐⭐ Awesome book to learn AI deployment via cloud and integration to visualization tool
*by R***N on June 22, 2023*

I read every single page of this book and followed along every single example. This book gives very hand-on and practical use cases and provides very clear explanation of how each step in the work flow works out. I love it so much!

## Frequently Bought Together

- AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
- Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
- AI Engineering: Building Applications with Foundation Models

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*Product available on Desertcart Peru*
*Store origin: PE*
*Last updated: 2026-05-26*