AI Meets BI: Artificial Intelligence and Business Intelligence

The emergence of Artificial Intelligence (AI) in the business world has ushered in a new era of Business Intelligence (BI) to create real-world business solutions using analytics. BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision-making. AI Meets BI outlines the three typical architectures of BI and takes an in-depth look at various types of analytics and highlights how each can be implemented using AI-enabled algorithms and deep learning models. It 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. The book also looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI.

Format: Hardback
Length: 220 pages
Publication date: 04 November 2020
Publisher: Taylor & Francis Ltd

The advent of artificial intelligence (AI) has brought about a transformative era in the realm of business intelligence (BI), ushering in the creation of real-world business solutions through the power of analytics. BI developers and practitioners now possess a wealth of tools and technologies to design systems and solutions that facilitate effective decision-making. By leveraging more reliable and accurate information and intelligence, businesses can gain valuable, actionable insights that drive their success.

In the past, BI professionals faced numerous challenges, including inadequate or incomplete data, poorly architected solutions, and inadequate systems or resources. However, with the integration of AI, BI has unlocked new possibilities for effectiveness. This long-awaited phase has garnered excitement among practitioners, developers, executives, and leaders who rely on informed and intelligent decision-making for their organizations.

AI Meets BI, a comprehensive guide, provides a comprehensive overview of the traditional methods for implementing BI in the enterprise and how BI has evolved into leveraging self-service analytics, data discovery, and, most recently, AI. It delves into the three typical architectures of the first, second, and third generations of BI, highlighting the advancements and innovations that have shaped the field.

The book then explores various types of analytics, emphasizing how AI-enabled algorithms and deep learning models can be employed to enhance their effectiveness. It showcases real-world examples and case studies that demonstrate how AI is being used to solve complex business problems, from predictive analytics to natural language processing.

At its core, AI Meets BI is a practical guide that empowers enterprises to access, assess, and perform analytics on data through the process of discovering data, defining key metrics, establishing governance rules, and activating metadata for AI/ML recommendations. The book provides detailed implementation specifics for each of the four industry use cases, utilizing a range of AI-enabled machine learning and deep learning algorithms to deliver actionable insights and business benefits.

By leveraging the power of AI, businesses can gain a competitive edge, make data-driven decisions, and stay ahead of the curve. AI Meets BI is a valuable resource for practitioners, developers, executives, and leaders who are eager to embrace the transformative potential of AI in BI and drive their organizations toward success in the digital age.

Weight: 630g
Dimension: 261 x 183 x 19 (mm)
ISBN-13: 9780367332600