AI Meets Bi: Artificial Intelligence and Business Intelligence

ISBN-13: 9780367332600 / Angielski / Twarda / 2020 / 220 str.

Lakshman Bulusu; Rosendo Abellera

Opis

This book addresses the integration of all the new tools and technologies presented in today’s plethora of artificial intelligence tools and technologies to boost and enhance business intelligence. It covers various AI powered analytics for BI enabled decision making. It focuses on the primary aspect of “pairing AI with BI” on a one-on-one basis.

Spis treści

Chapter 1 Introduction 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?

O autorze

Lakshman Bulusu is a veteran IT professional and data scientist, with 28 years of experience in the IT industry. He has worked at major industry verticals in the retail, banking, pharma/health care, insurance, media, telecom, and education fields. He currently consults for a major banking client in the New York/New Jersey metropolitan area. He has expertise in RDBMS technologies, including Oracle®, MS SQL Server, and Vertica and their related technologies. He is also well versed in the latest-and-greatest technologies such as artificial intelligence, data science, and business intelligence. Lakshman also serves as Vice President of Research at Qteria.com. When not at his job, he lectures at various technical schools, user group conferences and summits, and data science meetings. He also devotes his free time to writing poetry in English and in his native language, Telugu. With a long and proven track record of success in the Business Intelligence (BI) industry throughout several decades, Rosendo Abellera is a subject matter expert and expert practitioner in business intelligence and analytics. As a career consultant, he has serviced numerous leading global commercial clients and major US government organizations. A strategist as well as a hands-on developer, he architected and implemented complete, holistic, and data-centric decision-making systems and solutions from the ground up— from complex data warehouses for Revenue Recognition to advanced dashboards for Financial Analytics.