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Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics.
The machine learning material focuses on learning representations of input data suitable for a given prediction problem. This book focuses on the practical aspects of implementing machine learning solutions using the rich Oracle BI ecosystem. The primary objective of this book is to bridge the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to machine learning with OBIEE.
What You Will Learn

See machine learning in OBIEE

Master the fundamentals of machine learning and how it pertains to BI and advanced analytics

Gain an introduction to Oracle R Enterprise

Discover the practical considerations of implementing machine learning with OBIEE

Who This Book Is For
Analytics managers, BI architects and developers, and data scientists.

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Chapter 1: Overview of Machine Learning Chapter Goal: Introduce Machine Learning concepts and explain the evolution of machine learning u the realm of artificial intelligence. No of pages: 50-60 Sub -Topics 1. Overview of Machine Learning 2. Evolution of Artificial Intelligence and Machine Learning 3. Introduction of Machine Learning and components in OBIEE Chapter 2: Business Intelligence, Big Data, and Cloud Computing Chapter Goal: Introduce emerging scalable computing platforms and how machine learning can be fully utilized in cloud computing architectures. Introduction to the Oracle Cloud as it pertains to machine learning No of pages: 50-60 Sub - Topics 1. Overview of Business Intelligence and Big Data 2. Overview of emerging cloud computing architectures and their components 3. Oracle Cloud architectures, virtualization and leveraging hardware capabilities. 4. Scaling specific machine learning algorithms on the cloud. Chapter 3: The Oracle R Technologies and R Enterprise Chapter Goal: Provide an overview of R technologies for the enterprise. It will explain how to perform Big Data advanced analytics with machine learning with the R ecosystem. This chapter will also discuss the expansive set of open source R packages in solutions as well as leveraging R scripts. Also briefly explain how Oracle R Enterprise can be used with OBIEE. No of pages : 80-90 Chapter 4: Why Machine Learning with OBIEE Now Chapter Goal: Provide the practical reasons and explanation of why machine learning utilizing OBIEE can now be successfully utilized. Include an overview of providing businesses with a competitive advantage using predictive analytics. No of pages : 70-80 Sub - Topics: 1. The marriage of artificial intelligence and business intelligence 2. Evolution of OBIEE to its current version 3. The birth and history of machine learning for OBIEE 4. OBIEE on the Oracle Cloud as an optimal platform 5. Oracle Business Intelligence Cloud Service (BICS) 6. The future of artificial intelligence, in particular machine learning, as it pertain to business intelligence in the corporate enterprise
Chapter 5: Use Case: Machine Learning in OBIEE 12c Chapter Goal: Provide a real world use case for leveraging machine learning in OBIEE to build an advanced decision-making solution. No of pages: 50-60 Chapter 6: Implementing Machine Learning in OBIEE 12c Chapter Goal: Provide a step-by-step guide for implementing machine learning utilizing OBIEE for an advanced decision-making solution No of pages: 80-90

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