Ai-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
暫譯: 人工智慧驅動的商業智慧:利用機器學習改善預測與決策制定
Zwingmann, Tobias
- 出版商: O'Reilly
- 出版日期: 2022-07-19
- 售價: $2,400
- 貴賓價: 9.5 折 $2,280
- 語言: 英文
- 頁數: 350
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1098111478
- ISBN-13: 9781098111472
-
相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
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
- Build interactive user frontends for AI-powered dashboard prototypes
- Implement an end-to-end case study for building an AI-powered customer analytics dashboard
商品描述(中文翻譯)
使用商業智慧推動企業成長、提高效率並改善企業決策。這本實用的書籍將探討與商業智慧(BI)最相關的人工智慧(AI)應用案例,包括改進預測、自動分類和AI驅動的推薦系統。您將學習如何從非結構化數據來源中提取見解,例如文本、圖像和語音音頻檔案。
作者Tobias Zwingmann是德國AI初創公司RAPYD.AI的資深數據科學家和共同創辦人,幫助商業智慧、商業和數據分析師理解預測分析和處方分析的高影響領域。您將學習如何利用流行的AI即服務(AI-as-a-service)和自動機器學習(AutoML)平台,在不需要軟體工程師或數據科學家協助的情況下,交付企業級的概念驗證。
- 學習AI如何在商業智慧環境中產生商業影響
- 使用AutoML進行自動分類和改進預測
- 實施推薦服務以支持決策
- 使用自然語言處理(NLP)服務從文本數據中大規模提取見解
- 使用計算機視覺服務從文件和圖像中提取信息
- 為AI驅動的儀表板原型構建互動用戶前端
- 實施端到端案例研究以構建AI驅動的客戶分析儀表板