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 environmentsUse AutoML for automated classification and improved forecastingImplement recommendation services to support decision-makingDraw insights from text data at scale with NLP servicesExtract information from documents and images with computer vision servicesMake voice audio files accessible for reporting with AI transcription servicesBuild interactive user frontends for AI-powered dashboard prototypesImplement an end-to-end case study for building an AI-powered customer analytics dashboard

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 environmentsUse AutoML for automated classification and improved forecastingImplement recommendation services to support decision-makingDraw insights from text data at scale with NLP servicesExtract information from documents and images with computer vision servicesMake voice audio files accessible for reporting with AI transcription servicesBuild interactive user frontends for AI-powered dashboard prototypesImplement an end-to-end case study for building an AI-powered customer analytics dashboard

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 environmentsUse AutoML for automated classification and improved forecastingImplement recommendation services to support decision-makingDraw insights from text data at scale with NLP servicesExtract information from documents and images with computer vision servicesMake voice audio files accessible for reporting with AI transcription servicesBuild interactive user frontends for AI-powered dashboard prototypesImplement an end-to-end case study for building an AI-powered customer analytics dashboard