Ai-powered business intelligence: improving forecasts and decision making with machine...

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Описание

Use business intelligence to power corporate growth, increase efficiency, and
improve corporate decision making. With this practical book featuring hands-on
examples in Power BI with basic Python and R code, 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, document, images files.

Author Tobias Zwingmann helps BI professionals, business analysts, and data
analytics understand high-impact areas of artificial intelligence. You'll
learn how to leverage popular AI-as-a-service and AutoML platforms to ship
enterprise-grade proofs of concept 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

Build interactive user frontends for AI-powered dashboard prototypes

Implement an end-to-end case study for building an AI-powered customer
analytics dashboard

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