Questions and Answers of Analytics Data Science And Artificial Intelligence

Why would a health insurance company invest in analytics beyond fraud detection? Why is it in its best interest to predict the likelihood of falls by patients?
Why is machine learning so important?
Why is Big Data preparation essential for AI initiatives?
Predictive analytics is widely held to be the most actionable form of business intelligence. As IBM famously stated, if business can be considered a “numbers game,” predictive analytics is the
Big data are collected across a range of sectors, from public finance to industrial and commercial activities. Some, like climate and transport data, can be particularly useful in disaster management
List some capabilities of information technologies that can facilitate managerial decision making.
What other applications similar to prediction of falls can you envision?
Differentiate between narrow and general AI.
What are the benefits of adding IoT to intelligent technology applications?
This application case is based on a project that involved one of the coauthors. A company that does not wish to disclose its name (or even its precise industry) was facing a major problem of making
Estimating how much ground is covered by green vegetation is important in analysis of a forest or even a farm. In case of a forest, such analysis helps users understand how the forest is evolving,
Go to http://analytics-magazine.org/issues/digitaleditions, and find the January/February 2013 edition titled “Work Social.” Read the article “Big Data, Analytics and Elections,” and answer
How would you convince a new health insurance customer to adopt healthier lifestyles?
Some say that no AI application is strong. Why?
Why it is recommended to use blockchain in support of intelligent applications?
We may not like the security lines at airports or the idea that terrorists may board our plane or enter our country. Several AI devices are designed to minimize these possibilities.1. Facial
Search the Internet for material regarding the work of managers and the role analytics plays in it. What kinds of references to consulting firms, academic departments, and programs do you find? What
Identify at least three other opportunities for applying analytics in the retail value chain beyond those covered in this section.
Define assisted intelligence, augmented intelligence, and autonomous intelligence.
In several Middle Eastern countries, notably Jordan, Abu Dhabi, and other Gulf nations, racing camels has been a popular activity for generations. The owners of the winning camels can earn a huge
Explore the public areas of dssresources.com. Prepare a list of its major available resources. You might want to refer to this site as you work through the book.
Which retail stores that you know of employ some of the analytics applications identified in this section?
The discussion for the analytics ecosystem also included several typical job titles for graduates of analytics and data science programs. Research Web sites such as datasciencecentral.com and
Even the entertainment sector uses Big Data. For instance, the Million Song Dataset (http://millionsongdataset.com/) includes 28 datasets containing audio features and metadata for about a million
Visit the Million Song Dataset (http://millionsongdataset.com/), search the collection, and download a few titles. How are the songs indexed, and how would you download the entire database?
Go to the section “Big Data Repository” on Science Direct https://www.sciencedirect.com/topics/computer-science/big-data-repository) and list the articles that relate specifically to cloud
Define AI. What are the major aims and goals of AI?
What is intelligence?
Define intelligent agents and list some of their capabilities.
Distinguish between fully automated and supported decision making.
What are the major reasons for using AI in accounting?
What are the new ways that banks interact with customers by using AI?
List the activities in recruiting and explain the support provided by AI to each.
List five of the 15 applications of Davis (2016). Comment on each.
Describe the role of robots in manufacturing.
If you do not know it, vacuum cleaners can be smart. Some of you may use the Roomba from iRobot. This vacuum cleaner can be left alone to clean floors, and it exhibits some intelligence. owever, in
Discuss the difficulties in measuring the intelligence of machines.
Go to itunes.apple.com/us/app/public-transit-appmoovit/id498477945?mt=8. Compare Moovit operations to the operation of INRIX.
What are the major aims and goals of AI?
What are the major capabilities of human intelligence? Which are superior to that of AI machines?
Prepare a list of applications of intelligent agents.
List the benefits of AI for decision support.
List some applications big accounting firms use.
It is said that financial services are more personalized with AI support. Explain.
What are the benefits rewarded to recruiters by AI?
Which of the 15 applications relate to sales?
Why use AI in manufacturing?
The following examples of using machine learning are provided by Wellers, et al. (2017), who stated that "today's leading organizations are using machine learning-based tools to automate decision
Discuss the process that generates the power of AI.
Go to https://cp.catapult.org.uk/housinginnovation-map/location-intelligence / and write a report on what location intelligence is and what its uses are based on the explanation on this page.
List some characteristics of AI.
How intelligent is AI?
What is machine learning? How can it be used in business?
What factors influence the use of AI for decision support?
Why do big accounting firms lead the use of applied AI?
What back-office activities in banks are facilitated by AI?
What are the benefits to job seekers?
Which of the 15 applications relate to advertising?
Describe the Bollard et al. implementation model.
The following examples were extracted from Forrest (2017): Google's Cloud Machine Learning Engine and Tensor Flow allow unique access to machine learning tools without the need for PhD-educated
Discuss the differences between machine learning and deep learning.
Go to Investopedia and learn about investors’ tolerance. Then find out how AI can be used to contain this risk, and write a report.
List some AI drivers.
How can we measure AI’s intelligence?
Define deep learning.
Relate AI to the steps in the classical decision-making process.
What are some of the advantages of using AI cited by the ICAEW report?
How can AI contribute to security and safety?
How does AI facilitate training?
Which of the 15 applications relate to customer service and CRM?
What is an intelligent factory?
The big accounting companies use AI to replace or support human activities in tasks such as tax preparation, auditing, strategy consulting, and accountancy services. They mostly use NLP, robotic
Describe the difference between machine vision and computer vision.
In 2017, McKinsey & Company created a five-part video titled “Ask the AI Experts: What Advice Would You Give to Executives About AI?” View the video and summarize the advice given to the
List some benefits of AI applications.
What is the Turing Test and what are its limitations?
Define robotics and explain its importance for manufacturing and transportation.
What are the necessary conditions for AI to be able to automate decision making?
How may the job of the accountant be impacted by AI?
What is the role of chatbots and virtual assistants in financial services?
How is performance evaluation of employees improved by AI?
For what are the prediction capabilities of AI used?
How are a company’s internal and external logistics supported by AI technologies?
China has recently witnessed impressive advancements in the use of AI for both manufacturing (in industrial use) and services (financial and commercial services). As of December 2018, 3,341 Chinese
How can a vacuum cleaner be as intelligent as a sixyear- old child?
Watch the McKinsey & Company video (3:06min.) on today’s drivers of AI at youtube.com/ watch v=yv0IG1D-OdU and identify the major AI drivers. Write a report.
List some AI limitations.
How can one measure the intelligence level of a vacuum cleaner?
What is NLP? What are its two major formats?
Describe Schrage’s four models.
How can IBM Watson help banking services?
How can companies increase retention and reduce attrition with AI?
What is the Salesforce’s Einstein?
Alexander Mann is a Chicago-based company that offers AI solutions to support the employee recruitment process. The major objective is to help companies solve HRM problems and challenges. The AI is
Why are NLP and machine vision so prevalent in industry?
Visit the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE) online at https://claire-ai.org/ and discuss the examples of current applications you find there.
Describe the artificial brain.
Describe machine translation of languages. Why it is important in business?
Relate Salesforce Einstein to CRM in financial services.
Describe the role of chatbots in supporting HRM.

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