-- New Release

AI-Powered Business Intelligence.

Use business intelligence and AI to power corporate growth, increase efficiency, and improve business decision-making.

About The
Author & Educator

Tobias Zwingmann is a data scientist with more than 15 years of experience in a corporate setting. He was responsible for building data science use cases and creating a company-wide data strategy. He is a co-founder of RAPYD.AI and is on a mission to help companies accelerate the adoption of machine learning and AI solutions while delivering meaningful business impact and reducing the risk of project failure.

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Tobias Zwingmann
Senior Data Scientist, Data Science Mentor, Speaker

AI-Powered Predictive Analytics in Power BI

Users of modern BI systems not only want to analyze the past, but also obtain information about the future. Whether it's risk assessment for future customer churn or more accurate demand forecasts, the need to anticipate future events has become bigger than ever.

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What readers say

Hear the interesting stories from our customers

The definitive book for anyone who wants to understand what it takes to improve business intelligence with AI.

Ram Kumar

Chief Data and Analytics Officer, Cigna

After 15 years in the data world, this book has turned my view of classic BI upside down. AI-Powered Business Intelligence is excellently designed and structured. I wish I had a book like this much earlier.

 Kai Aschenbach

Head of Financial BI-Tools, HDI Global SE

Tobias writes at a level of technical sophistication that works very well for me, a nontechnically trained person. There is a healthy amount of coding, but not too much, and it is all integrated effectively with related business principles.

George B. Moseley

Professor, Harvard T.H. Chan School of Public Health

AI-Powered Business Intelligence is one of the best books for anyone wanting to apply data science and machine learning concepts to the world of BI.

Himanshu Yadav

Head of Data, Commonwealth of Massachusetts

Book Chapters

With this practical book, 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 and image files.

Creating Business Value with AI

Learn how you can typically use AI within a BI context and prioritize AI/ML use cases.

Assessing Feasibility

Assess the technical feasibility of AI projects and get to know typical AI solution patterns.

Machine Learning Fundamentals

Learn fundamental ML concepts to understand and apply AI techniques used in this book.

Prototyping

Learn what prototypes are, why they are important, and how to use them for AI projects.

AI-Powered Descriptive Analytics

Learn how to implement AI to help you run descriptive analytics easier and faster.

AI-Powered Diagnostic Analytics

Learn how to reveal interesting patterns automatically with AI.

AI-Powered Predictive Analytics

Use AI-powered predictive analytics for better classification, forecasting, and anomaly detection.

AI-Powered Prescriptive Analytics

Learn how to prescribe the next best actions to take by using recommendation systems.

Leveraging Unstructured Data

Explore how AI can help you to read unstructured data such as texts, documents, and images.

Build a Complete Dashboard

Build an AI-powered customer analytics dashboard with different AI capabilities combined.

From Prototype to Production

Learn what it takes to scale your project from the prototype to the
production stage.