
Sách keo gáy, bìa mềm
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.
Categories:Computers - Web Development
Year:2022
Language:english
Pages:392