There are no items in your cart
Add More
Add More
Item Details | Price |
---|
-- New Release
Use business intelligence and AI to power corporate growth, increase efficiency, and improve business decision-making.
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.
enrol now for the courseTobias Zwingmann
Senior Data Scientist, Data Science Mentor, Speaker
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.
Prefer Buying From Your Local Store?
AI-Powered Business Intelligence is available through all bookshops
with the following ISBN:
ISBN-13: 978-1098111472
ISBN-10: 1098111478
Hear the interesting stories from our customers
—Ram Kumar
— Kai Aschenbach
—George B. Moseley
—Himanshu Yadav
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.
Learn how you can typically use AI within a BI context and prioritize AI/ML use cases.
Assess the technical feasibility of AI projects and get to know typical AI solution patterns.
Learn fundamental ML concepts to understand and apply AI techniques used in this book.
Learn what prototypes are, why they are important, and how to use them for AI projects.
Learn how to implement AI to help you run descriptive analytics easier and faster.
Learn how to reveal interesting patterns automatically with AI.
Use AI-powered predictive analytics for better classification, forecasting, and anomaly detection.
Learn how to prescribe the next best actions to take by using recommendation systems.
Explore how AI can help you to read unstructured data such as texts, documents, and images.
Build an AI-powered customer analytics dashboard with different AI capabilities combined.
Learn what it takes to scale your project from the prototype to the
production stage.