13.10: Summary
- Page ID
- 94997
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\(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)Key Takeaways
- Artificial intelligence (AI) is the ability of a computer to think and learn.
- AI technology is quickly advancing from it’s initial conception in the 1950’s.
- The Turing Test is a test to determine a machines ability to think and therefore imitate human behaviour.
- Machines that incorporate AI appear to make decisions similar to humans.
- AI lacks the emotional intelligence “the human factor”.
- AI can be categorized based on ability and functionality.
- Machine learning and deep learning use algorithms, and neural networks to imitate the way humans learn.
- Autonomous technologies are one of the most widely used applications of AI. They include: nanobots, driverless cars, and UAV.
- Robots are a type of autonomous technology that automate process with little, or no human interaction.
- Expert systems have been used for many years to streamline knowledge, and make decisions.
- Extended reality (XR) is an umbrella term that covers all forms and combinations of real and virtual environments including AR and VR.
- Emerging trends in technology include devices that are: wearable, connected, collaborative and super.
- Ethics need to be considered when using intelligent technologies.
Review Questions
- What is artificial intelligence, and what are some of the capabilities?
- List some of the different classifications of artificial intelligence.
- How can we use artificial intelligent systems to help in decision making?
- Define robotics and explain how they are being used.
- What are some of the advantages and disadvantages of robots?
- What are expert systems and how are they used?
- What is the difference between XR, AR and VR?
- List and discuss some of the emerging trends in technology and how they impact business
Assignment
Overview
This assignment is designed to help you understand the different applications of AI in business.
Assignment
In this assignment you will research the different applications of AI in business and discuss the benefits. Complete the following questions in a separate document.
- Research applications of AI for your particular field of study.
- Write a few paragraphs on the examples found and explain how they are a benefit to business. Make sure to provide references to the resources you use.
- Share your examples with the class.
Chapter 13 Attributions
13.1 Information Systems for Business and Beyond (2019)-Chapter 13 & Chapter 4 by David Bourgeois is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.
13.2 Module 1: Introduction to Artificial Intelligence from Thriving in the Age of Artificial Intelligence by the Faculty of Engineering and Applied Science at Ontario Tech University under a Creative Commons Attribution license, unless otherwise noted.
13.2 The History of Artificial Intelligence by Rockwell Anyoha, Harvard University SITN Boston is licensed under CC BY-NC-SA 4.0
13.3 Module 1: Introduction to Artificial Intelligence from Thriving in the Age of Artificial Intelligence by the Faculty of Engineering and Applied Science at Ontario Tech University under a Creative Commons Attribution license, unless otherwise noted.
13.4 Module 1: Introduction to Artificial Intelligence from Thriving in the Age of Artificial Intelligence by the Faculty of Engineering and Applied Science at Ontario Tech University under a Creative Commons Attribution license, unless otherwise noted.
13.5 Module 1: Introduction to Artificial Intelligence & Module 2: Machine Learning and Deep Learning from Thriving in the Age of Artificial Intelligence by the Faculty of Engineering and Applied Science at Ontario Tech University under a Creative Commons Attribution license, unless otherwise noted.
13.6 Autonomous Technologies from Information Systems for Business and Beyond (2019)-Chapter 13 & Chapter 4 by David Bourgeois is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.
13.6 Expert Systems from Protecting artificial intelligence IPs: a survey of watermarking and fingerprinting for machine learning by F. Regazzoni, P. Palmieri, F. Smailbegovic, R. Cammarota, and I. Polian, licensed under CC BY 4.0
13.6 Advantages and Disadvantages of Robots from Robots with Artificial Intelligence and Spectroscopic Sight in Hi-Tech Labor Market by Evgeniy Bryndin is licensed under a Creative Commons Attribution 4.0 License unless otherwise noted.
13.8 Information Systems for Business and Beyond (2019)-Chapter 13 & Chapter 4 by David Bourgeois is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.
13.9 Module 1: Introduction to Artificial Intelligence & Module 5 Societal and Ethical Impacts of AI from Thriving in the Age of Artificial Intelligence by the Faculty of Engineering and Applied Science at Ontario Tech University under a Creative Commons Attribution license, unless otherwise noted.