AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
Product ID: 444858202
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Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision making. With this practical book featuring hands-on examples in Power BI with basic Python and R code, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, and image files. Author Tobias Zwingmann helps BI professionals, business analysts, and data analytics understand high-impact areas of artificial intelligence. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists. Learn how AI can generate business impact in BI environments Use AutoML for automated classification and improved forecasting Implement recommendation services to support decision-making Draw insights from text data at scale with NLP services Extract information from documents and images with computer vision services Build interactive user frontends for AI-powered dashboard prototypes Implement an end-to-end case study for building an AI-powered customer analytics dashboard 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.
| Best Sellers Rank | #1,240,617 in Books ( See Top 100 in Books ) #178 in Machine Theory (Books) #275 in Business Intelligence Tools #2,462 in Artificial Intelligence & Semantics |
| Customer Reviews | 4.2 out of 5 stars 16 Reviews |
G**3
Great book
Helpful and easy to follow
D**G
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.
R**N
Awesome book to learn AI deployment via cloud and integration to visualization tool
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!
T**R
Must already know Azure
The documentation for creating an Azure model and deployment does not work using the book examples. The Azure error returned for deployment is so vague i can’t resolve as a new person to Azure. This makes the book useless for everything in chapter 7 onward. Unless you understand Azure already, this book is not useful.
J**L
Outstanding read on AI integration into BI settings to improve the entire analytics lifecycle!
Both broad and detailed, easily digestible holistic walk through to amplify BI using AI. Plenty of solid concepts, processes, use cases, and hands-on practical application code samples. The best aspect is the razor focus on business value throughout!
M**A
Unión de Business Intelligence e Inteligencia Artificial
Excelente libro, para comprender la unión e utilización del AI al usar y construir visuales de Dashboards y elementos de visualización de negocio ( BI) ... bien redactado y con excelente información a un nivel de maestría y/o doctorado ( para eso lo use )
Trustpilot
2 weeks ago
2 weeks ago