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English | 2022 | ISBN: 9781098111465 | 435 pages | PDF,EPUB | 41.11 MB
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
