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

Helpful and easy to follow

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.

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!

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.

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!

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 )