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Arcana Academy

AI-Powered Business Intelligence: Improving Forecasts and Decision...

Author: Tobias ZwingmannLanguage: EnglishPublisher: O'Reilly MediaEdition: 1stPages: 392Year: 2022
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Description

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

Unlock the power of artificial intelligence and business intelligence to drive growth, improve efficiency, and make smarter corporate decisions. This practical guide combines hands-on Power BI examples with introductory Python and R techniques to show how AI can transform modern BI workflows.

Through real-world use cases, you’ll discover how organizations are applying AI to enhance forecasting, automate classification, deliver intelligent recommendations, and uncover valuable insights from unstructured data such as text, documents, and images.

Author Tobias Zwingmann provides BI professionals, business analysts, and data teams with practical strategies for identifying high-impact AI opportunities. You’ll learn how to use AI-as-a-service solutions and AutoML platforms to create enterprise-ready prototypes without requiring extensive support from software engineers or specialized data scientists.

This book will help you:

  • Understand how artificial intelligence can create measurable business value in BI environments
  • Apply AutoML techniques for automated classification and more accurate forecasting
  • Build recommendation systems that improve business decisions
  • Analyze large volumes of text data using natural language processing (NLP)
  • Extract meaningful information from documents and images with computer vision
  • Create interactive dashboards powered by AI capabilities
  • Develop an end-to-end AI customer analytics solution using practical examples

Whether you are a BI professional looking to expand your AI skills or a business analyst seeking smarter ways to use data, this guide provides the tools and techniques needed to bring AI-powered intelligence into your organization.

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