- eBook:AI Meets BI: Artificial Intelligence and Business Intelligence
- Author:Lakshman Bulusu, Rosendo Abellera
- Edition:1 edition
- Data:November 4, 2020
- Pages:240 pages
Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical architectures of the first, second, and third generations of BI. It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models.
The crux of the book is four industry use cases. They describe how an enterprise can access, assess, and perform analytics on data by way of discovering data, defining key metrics that enable the same, defining governance rules, and activating metadata for AI/ML recommendations. Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms, this book provides complete code for each of the implementations, along with the output of the code, supplemented by visuals that aid in BI-enabled decision making.
Concluding with a brief discussion of the cognitive computing aspects of AI, the book looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI.
Chapter 2. AI and AI-Powered Analytics
Chapter 3. Industry Uses Cases of Enterprise BI—A Business Perspective
Chapter 4. Industry Use Cases of Enterprise BI—The AI-Way of Implementation
Chapter 5. What’s Next in AI Meets BI?
Download AI Meets BI: Artificial Intelligence and Business Intelligence PDF or ePUB format free