Description: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, and image 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 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 servicesBuild interactive user frontends for AI-powered dashboard prototypesImplement an end-to-end case study for building an AI-powered customer analytics dashboardWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning. To get started finding AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
575
Format
PDF, EPUB & Kindle Edition
Publisher
—
Release
—
ISBN
1098111435
AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
Description: 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, and image 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 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 servicesBuild interactive user frontends for AI-powered dashboard prototypesImplement an end-to-end case study for building an AI-powered customer analytics dashboardWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning. To get started finding AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.