AI-powered business intelligence : improving forecasts and decision making with machine learning
Author
Published
[Sebastopol, California] : O'Reilly Media, Inc., [2022].
Status
Available Online
Description
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Format
Language
English
Notes
General Note
Includes index.
Description
Use business intelligence to power corporate growth, increase efficiency, and improve corporate 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, 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.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Zwingmann, T. (2022). AI-powered business intelligence: improving forecasts and decision making with machine learning . O'Reilly Media, Inc..
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Zwingmann, Tobias. 2022. AI-powered Business Intelligence: Improving Forecasts and Decision Making With Machine Learning. [Sebastopol, California]: O'Reilly Media, Inc.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Zwingmann, Tobias. AI-powered Business Intelligence: Improving Forecasts and Decision Making With Machine Learning [Sebastopol, California]: O'Reilly Media, Inc, 2022.
Harvard Citation (style guide)Zwingmann, T. (2022). AI-powered business intelligence: improving forecasts and decision making with machine learning. [Sebastopol, California]: O'Reilly Media, Inc.
MLA Citation, 9th Edition (style guide)Zwingmann, Tobias. AI-powered Business Intelligence: Improving Forecasts and Decision Making With Machine Learning O'Reilly Media, Inc., 2022.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
c6c0f2ec-33e7-b04f-f362-b7091ed575f8-eng
Grouping Information
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|---|---|
| Full title | ai powered business intelligence improving forecasts and decision making with machine learning |
| Author | zwingmann tobias |
| Grouping Category | book |
| Last Update | 2024-12-17 08:40:50AM |
| Last Indexed | 2024-12-17 08:41:59AM |
Book Cover Information
| Image Source | default |
|---|---|
| First Loaded | May 8, 2023 |
| Last Used | Jul 26, 2024 |
Marc Record
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