Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision-making. 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, image, and voice audio files.

Author Tobias Zwingmann, senior data scientist and cofounder of Germany-based AI startup RAPYD.AI, helps BI, business, and data analysts understand high-impact areas of predictive and prescriptive analytics. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proof of concepts 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
• Make voice audio files accessible for reporting with AI transcription 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