Complete the following assignment in one MS word document: Chapter 1 –discussion question #1 & exercise 15 (limit to one page of analysis for question 15) Chapter 2 – discussion question #1 & exercises 4, 5, and 15(limit to one page of analysis for question 15) When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week. All work must be original (not copied from any source). This week, we will cover information in chapter 1 and 2 in the text.  The key topics that we cover in chapter one are a basic overview of business intelligence, analytics, data science, and artificial intelligence.  In chapter two we focus on the concepts, drivers, major technologies, and business applications in the Artificial Intelligence space. Please don’t forget to complete the readings prior to answering the discussion questions this week. By the end of this week, you should be able to: Read Chapter 1 and Chapter 2 in  Analytics, Data Science & Artificial Intelligence Review and handouts Watch and Videos Chapter 1: https://s3.amazonaws.com/blackboard.learn.xythos.prod/5a31b16bb2c48/6824084?response-cache-control=private%2C%20max-age%3D21600&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27Chapter%25201_Analytics%252C%2520Data%2520Science%252C%2520%2526%2520Artificial%2520Intellience%25283%2529.pdf&response-content-type=application%2Fpdf&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200824T150000Z&X-Amz-SignedHeaders=host&X-Amz-Expires=21600&X-Amz-Credential=AKIAYDKQORRYTKBSBE4S%2F20200824%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=39a2d4c6e008057f1a838326fed01c5cc05b0b70ee762ac23a5cedd3bb5a888c Chapter 2: https://s3.amazonaws.com/blackboard.learn.xythos.prod/5a31b16bb2c48/6824085?response-cache-control=private%2C%20max-age%3D21600&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27Chapter%25202_Analytics%252C%2520Data%2520Science%252C%2520%2526%2520Artificial%2520Intellience%25281%2529.pdf&response-content-type=application%2Fpdf&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200824T150000Z&X-Amz-SignedHeaders=host&X-Amz-Expires=21600&X-Amz-Credential=AKIAYDKQORRYTKBSBE4S%2F20200824%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=71d3036991fd7a24eaef37561ed8a64bc2468078159d63bb80a22e72f281f328 Chapter 1: Video: https://s3.amazonaws.com/blackboard.learn.xythos.prod/5a31b16bb2c48/6824086?response-cache-control=private%2C%20max-age%3D21600&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27zoom_0.mp4&response-content-type=video%2Fmp4&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200824T150000Z&X-Amz-SignedHeaders=host&X-Amz-Expires=21600&X-Amz-Credential=AKIAYDKQORRYTKBSBE4S%2F20200824%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=17566b92a29aab047311b740389d54b95d90140b82df644a736719bbecee64d9 Chapter 1: Video: https://s3.amazonaws.com/blackboard.learn.xythos.prod/5a31b16bb2c48/6824087?response-cache-control=private%2C%20max-age%3D21600&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27zoom_0%25281%2529.mp4&response-content-type=video%2Fmp4&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200824T150000Z&X-Amz-SignedHeaders=host&X-Amz-Expires=21600&X-Amz-Credential=AKIAYDKQORRYTKBSBE4S%2F20200824%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=ffa13b3a6295350122e0bb02894237a7881d30e6019c6dbd77c1acca2a0d2d04

Chapter 1 and Chapter 2 of the text “Analytics, Data Science & Artificial Intelligence” cover a range of important topics related to business intelligence, analytics, data science, and artificial intelligence. These chapters provide a foundational understanding of these concepts, their applications, and the technologies involved.

In Chapter 1, the focus is on providing a basic overview of business intelligence, analytics, data science, and artificial intelligence. The chapter begins by defining business intelligence as the process of analyzing data to gain insights and make informed decisions. It then delves into the role of analytics in business intelligence, explaining how data can be transformed into useful information through various analytical techniques.

The chapter also introduces the concept of data science, which is the interdisciplinary field that combines knowledge from statistics, mathematics, computer science, and domain expertise to extract knowledge and insights from data. It explores the different stages of the data science process, including data acquisition, data cleaning, data exploration, and data modeling.

Furthermore, Chapter 1 discusses artificial intelligence (AI) and its role in business intelligence and analytics. It defines AI as the simulation of human intelligence in machines that are programmed to think and learn like humans. The chapter explores different applications of AI in business, such as natural language processing, computer vision, and machine learning.

Moving on to Chapter 2, the focus shifts to the concepts, drivers, major technologies, and business applications in the artificial intelligence (AI) space. The chapter explores the factors driving the adoption of AI in various industries, including the increasing availability of data, advances in computing power, and the need for automation and efficiency.

The chapter discusses the major technologies used in AI, including machine learning, deep learning, natural language processing, and robotics. It explains how these technologies are used to develop intelligent systems that can perform tasks such as image recognition, speech recognition, and autonomous navigation.

Moreover, Chapter 2 explores the business applications of AI across different industries. It highlights how AI is being used in areas such as healthcare, finance, marketing, and manufacturing to improve decision-making, optimize processes, and enhance customer experiences.

To gain a comprehensive understanding of the content covered in these chapters, it is important to read the assigned readings and review the provided handouts. Additionally, watching the accompanying videos can provide visual explanations and further insights into the topics discussed.

In conclusion, Chapters 1 and 2 of “Analytics, Data Science & Artificial Intelligence” provide a solid foundation in the concepts and applications of business intelligence, analytics, data science, and artificial intelligence. By studying these chapters, students will develop the knowledge and skills necessary to analyze data, apply analytical techniques, and leverage AI technologies for informed decision-making in various business contexts.