AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning

Book Description

Use business intelligence and AI to power corporate growth, increase efficiency, and improve business decision-making. With this practical book with hands-on examples in Power BI, 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.

• Leverage AI to drive 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 natural language processing
• Extract information from documents and images with computer vision
• Build interactive user interfaces for AI-powered dashboards
• Implement an end-to-end case study for building an AI-powered customer analytics dashboard

Author Tobias Zwingmann helps BI professionals, business analysts and data analysts 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.

中文：

书名：AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning

使用商业智能和人工智能来推动企业增长、提高效率并改进业务决策。通过这本包含Power BI实践示例的实用书籍，您将探索与BI最相关的人工智能用例，包括改进的预测、自动分类和人工智能支持的建议。您还将学习如何从非结构化数据源(如文本、文档和图像文件)中获得洞察力。

• 利用人工智能推动BI环境中的业务影响
• 使用AutoML进行自动分类和改进预测
• 实施推荐服务以支持决策
• 通过自然语言处理从大规模文本数据中获得洞察力
• 利用计算机视觉从文档和图像中提取信息
• 为AI支持的仪表板构建交互式用户界面
• 实施端到端案例研究，以构建人工智能支持的客户分析仪表板

作者Tobias Zwingmann帮助BI专业人士、商业分析师和数据分析师了解人工智能的高影响领域。您将学习如何利用流行的人工智能即服务平台和AutoML平台，在不需要软件工程师或数据科学家帮助的情况下提供企业级概念验证。