Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what is typical for this program. Be mindful of this as you post and respond in the Discussion. Your post is due on Day 7 and your Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of business information systems available to support business operations, management, and strategy. As of 2013, these include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and operations that every organization must manage. The effective manager understands the purpose of these types of systems and how they can be best used to manage the organization's data and information.
In this Discussion, you will share your knowledge and findings related to business information systems and the role they play in your organization. You will also consider your colleagues' experiences to explore additional ways business information systems might be applied in your colleagues' organizations, or an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or business information systems used in your organization, or in one with which you are familiar.
· Discuss two examples of how these business information systems are affecting the organization you selected. Be sure to discuss how individual behaviors and organizational or individual processes are changing and what you can learn from the issues encountered.
· Summarize what you have learned about the importance of business information systems and why managers need to understand how systems can be used to the organization's advantage.
You should find and use at least one additional current article from a credible resource, either from the Walden Library or the Internet. Please be specific, and remember to use citations and references as necessary.
General Guidance: Your initial Discussion post, due by Day 7, will typically be 3–4 paragraphs in length as a general expectation/estimate. Refer to the rubric for the Week 1 Discussion for grading elements and criteria. Your Instructor will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business information systems have been applied in an organization with which you are familiar. Read through your colleagues' posts and by Day 3 (Week 2), respond to two of your colleagues in one or more of the following ways:
· Examine how the business information systems described by your colleague could be or are being used by your organization. Offer additional ways either organization might take advantage of these systems.
· Examine how the b ...
Introduction–Definition - Future of Artificial Intelligence – Characteristics of Intelligent Agents– Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
Building an AI App: A Comprehensive Guide for BeginnersChristopherTHyatt
"Discover the steps to create your own AI app: Choose a framework, define your app's purpose, collect and prepare data, train the model, integrate a user-friendly interface, and deploy successfully."
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxhealdkathaleen
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make their task much easier.
KEYWORDS
Artificial Intelligence Technology, Internationa ...
The power and potential of artificial intelligence cannot be overstated. It has transformed how we interact with technology, from introducing us to robots that can perform tasks with precision to bringing us to the brink of an era of self-driving vehicles and rockets. And this is just the beginning. With a staggering 270% growth in business adoption in the past four years, it has been clear that AI is not just a tool for solving mathematical problems but a transformative force that will shape the future of our society and economy.
Artificial Intelligence (AI) has become an increasingly common presence in our lives, from robots that can perform tasks with precision to autonomous cars that are changing how we travel. It has become an essential part of everything, from large-scale manufacturing units to the small screens of our smartwatches. Today, companies of all sizes and industries are turning to AI to improve customer satisfaction and boost sales. AI is the next big thing, making its way into the inner workings of Fortune 500 companies to help them automate their business processes. Investing in AI can be beneficial for businesses looking to stay competitive in a fast-paced business world.
In today's tech-driven world, the integration of artificial intelligence (AI) into applications has become increasingly prevalent. From personalized recommendations to intelligent chatbots, AI enhances user experiences and optimizes processes. However, building an AI app can seem daunting to those unfamiliar with the process. Fear not! This guide aims to demystify the journey, offering step-by-step insights into how to build an AI app from scratch.
Introduction–Definition - Future of Artificial Intelligence – Characteristics of Intelligent Agents– Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
Building an AI App: A Comprehensive Guide for BeginnersChristopherTHyatt
"Discover the steps to create your own AI app: Choose a framework, define your app's purpose, collect and prepare data, train the model, integrate a user-friendly interface, and deploy successfully."
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxhealdkathaleen
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make their task much easier.
KEYWORDS
Artificial Intelligence Technology, Internationa ...
The power and potential of artificial intelligence cannot be overstated. It has transformed how we interact with technology, from introducing us to robots that can perform tasks with precision to bringing us to the brink of an era of self-driving vehicles and rockets. And this is just the beginning. With a staggering 270% growth in business adoption in the past four years, it has been clear that AI is not just a tool for solving mathematical problems but a transformative force that will shape the future of our society and economy.
Artificial Intelligence (AI) has become an increasingly common presence in our lives, from robots that can perform tasks with precision to autonomous cars that are changing how we travel. It has become an essential part of everything, from large-scale manufacturing units to the small screens of our smartwatches. Today, companies of all sizes and industries are turning to AI to improve customer satisfaction and boost sales. AI is the next big thing, making its way into the inner workings of Fortune 500 companies to help them automate their business processes. Investing in AI can be beneficial for businesses looking to stay competitive in a fast-paced business world.
In today's tech-driven world, the integration of artificial intelligence (AI) into applications has become increasingly prevalent. From personalized recommendations to intelligent chatbots, AI enhances user experiences and optimizes processes. However, building an AI app can seem daunting to those unfamiliar with the process. Fear not! This guide aims to demystify the journey, offering step-by-step insights into how to build an AI app from scratch.
This step-by-step guide will show you how to build and use an AI app. Whether you are a researcher, business owner or just curious about AI technology, these instructions will help you navigate the steps of creating an AI system that can transform your industry.
Artificial intelligence (AI) is a field of computer science that focuses on solving cognitive programs associated with human intelligence, such as pattern recognition, problem-solving and learning. AI refers to the use of advanced technology, such as robotics, in futuristic scenarios.
For this project, we had to conduct research on a topic that was seen as a relevant area of study in Enterprise Systems and how it will be applicable in the future.
We chose to study the effects artificial intelligence will have on CRM systems. To view our findings, you can view the video here - https://www.youtube.com/watch?v=Fe55c60QPwY&t=9s
leewayhertz.com-How to build an AI app.pdfrobertsamuel23
The power and potential of artificial intelligence cannot be overstated. It has transformed
how we interact with technology, from introducing us to robots that can perform tasks
with precision to bringing us to the brink of an era of self-driving vehicles and rockets
Artificial intelligence (ai) is a wide-ranging branch of computer science concerned
with building smart machines capable of performing tasks
Artificial intelligence definition(ai)
What is artificial intelligence approach?
Artificial intelligence Applications and Artificial intelligence examples
Top 5 artificial intelligence movie
Artificial intelligence course
Artificial intelligence in medicine
Artificial intelligence vs machine learning
Artificial intelligence agents and Environment
Agent Terminology
The problem the agent solves is characterized by
Characteristics of Intelligent Agent
Simple reflex agents
Model-based reflex agents
Goal-based agents
Utility-based agents
More
Jobs
Artificial intelligence(ai) definition
Artificial intelligence def:
● Artificial intelligence(ai) is a branch of engineering in which we develop an
intelligent computer program. In other words, ai is a way of changing computer
behavior to think and act like a human.
● In Artificial intelligence(ai), we study human behavior on different problems, how
humans learn and plan to solve a problem in his way. Translating human thought
and developing intelligent software is the final goal in Artificial intelligence. Can a
machine think and behave as humans do? The development of Artificial intelligence
started to find a solution. People started to develop an intelligent program that can
act like a human.
One or a combination of multiple branches can be used to make an intelligent system
that can act like a human.
What is the artificial intelligence(ai) approach?
In the real world, knowledge has few challenges -
● The volume of knowledge is huge, and difficult to manage and store on a computer.
● Knowledge is not organized and well-formatted. For example, doctors write a
prescription on sample paper which is difficult to store on a computer. That’s why we
need an intelligent system to handle it.
● The nature of knowledge is changing constantly. The artificial intelligence (ai)
approach is a way to organize and use the knowledge smartly in such a way that -
● It should be understood by the people who provide it. It should be editable and
useful for the future.
Gaming - Look at computer games such as chess where machines think many
possible combinations/patterns in playing chess move.
Natural language processing - Google translator is an example of natural
language processing where we can interact with the computer and change the human
spoken natural language in different human spoken language.
Vision systems - Face recognition is an example of a vision system where
computers identify different visual inputs p
ut on the computer. The office attendance system is widely used to recognize
different staff in the office to register in and out time.
Speech Recognition - Google audio translator is an example of an intelligent
system which are capable to transform audio track in form of sentence. Nowadays
expert speech recognition systems are capable
to handle changes in a human tone, bac
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtificiMalikPinckney86
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the ...
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxtoddr4
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the.
AI & Cognitive Computing are some of the most popular business an technical words out there. It is critical to get the basic understanding of Cognitive Computing, which helps us appreciate the technical possibilities and business benefits of the technology.
Artificial intelligence in practice- part-1GMR Group
Summary is made in 5 parts-
This is Part -1
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
• The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment.
• Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
• It is used in areas ranging from banking and finance to social media and marketing.
• This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries.
• This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.
• This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution.
• Each case study provides a comprehensive overview, including some technical details as well as key learning summaries:
o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations
o Expand your knowledge of recent AI advancements in technology
o Gain insight on the future of AI and its increasing role in business and industry
o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce
This follow up post on the subject of Artificial Intelligence focuses on Expert Systems and the role of traditional experts in their design and development. It explores four main themes:
What do we mean by Expert?
How do experts work?
Expert Systems Application Domains, and
Features of rule based Expert (KB) Systems
What is Artificial Intelligence and Machine Learning (1).pptxprasadishana669
Artificial Intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include problem-solving, learning, perception, speech recognition, and language translation, among others. Machine Learning is a subset of AI that focuses on the development of algorithms and statistical models that enable computers to perform tasks without explicit programming.
1. A corporations distribution of additional shares of its own s.docxcuddietheresa
1.
A corporation's distribution of additional shares of its own stock to its stockholders without the receipt of any payment in return is called a: (Points : 2)
.
1. Like the modernists, postmodern writers focused on subjective e.docxcuddietheresa
1. Like the modernists, postmodern writers focused on subjective experience rather than objective cultural norms. (1 point)
expressing or dealing with facts or conditions as perceived without distortion by personal feelings, prejudices, or interpretations
characteristic of or belonging to reality as perceived rather than as independent of mind
characteristic of or belonging to the superficial world
none of the above
2. They reeled, whirled, swiveled, flounced, capered, gamboled, and spun. (1 point)
insult
twists; intricate designs
leapt; frolicked
sharp; pounding
3. He began to think glimmeringly about his abnormal son who was now in jail, about Harrison. (1 point)
beginning
watchfulness; caution
leapt; frolicked
intermittently; unsteadily
4. Stokesie’s married, with two babies chalked up on his fuselage already, but as far as I can tell that’s the only difference. (1 point)
central body portion of an airplane
evil; spiteful
handicaps; obstructions
none of the above
Read the following paragraph and answer questions 5–8.
Scientists report (1) that creatures living in the deep sea are in danger of starving to death. Millions of undiscovered species live, in the deep sea. Creatures in the seabed are suffering from growing food shortages. Which may be a result of rising sea temperatures. Scientists believe that some species will die out, those that can survive on a low food supply will continue living. Not much is known about the creatures that live in the deep sea, not much is known about the changes in their diets. Scientists estimate that up to 10 million species live in the depths of the sea. Most animals of the deep rely on food chains that begin. In the lighted realms of the sea. Microscopic plants called phytoplankton. Capture the sun and start the food cycle. (2) Wherever there are animal droppings, there is a constant rain of organic matter (3) that feeds the bottom dwellers.
5. The underlined part of sentence 1 is what kind of clause? (1 point)
adverbial clause
adjectival clause
noun clause
6. The underlined part of sentence 2 is what kind of clause? (1 point)
adverbial clause
adjectival clause
noun clause
7. The underlined part of sentence 3 is what kind of clause? (1 point)
adverbial clause
adjectival clause
noun clause
Essay
Note: Your teacher will grade your response to ensure that you receive proper credit for your answer. Your response should include the following to receive the points in parentheses:
Respond in 3–5 complete sentences. (5 pts)
8. Rewrite the paragraph above, correcting any fragments and run-on sentences. Be sure to use correct punctuation. (5 points)
True or False
9. The Beat Generation was a group of writers who fought to maintain traditionalism in America. (1 point)
true
false
10. Satire is used to make serious situations appear humorous using irony. (1 point)
true
false
11. Absurdism is the attempt to show the absurdity of t.
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This step-by-step guide will show you how to build and use an AI app. Whether you are a researcher, business owner or just curious about AI technology, these instructions will help you navigate the steps of creating an AI system that can transform your industry.
Artificial intelligence (AI) is a field of computer science that focuses on solving cognitive programs associated with human intelligence, such as pattern recognition, problem-solving and learning. AI refers to the use of advanced technology, such as robotics, in futuristic scenarios.
For this project, we had to conduct research on a topic that was seen as a relevant area of study in Enterprise Systems and how it will be applicable in the future.
We chose to study the effects artificial intelligence will have on CRM systems. To view our findings, you can view the video here - https://www.youtube.com/watch?v=Fe55c60QPwY&t=9s
leewayhertz.com-How to build an AI app.pdfrobertsamuel23
The power and potential of artificial intelligence cannot be overstated. It has transformed
how we interact with technology, from introducing us to robots that can perform tasks
with precision to bringing us to the brink of an era of self-driving vehicles and rockets
Artificial intelligence (ai) is a wide-ranging branch of computer science concerned
with building smart machines capable of performing tasks
Artificial intelligence definition(ai)
What is artificial intelligence approach?
Artificial intelligence Applications and Artificial intelligence examples
Top 5 artificial intelligence movie
Artificial intelligence course
Artificial intelligence in medicine
Artificial intelligence vs machine learning
Artificial intelligence agents and Environment
Agent Terminology
The problem the agent solves is characterized by
Characteristics of Intelligent Agent
Simple reflex agents
Model-based reflex agents
Goal-based agents
Utility-based agents
More
Jobs
Artificial intelligence(ai) definition
Artificial intelligence def:
● Artificial intelligence(ai) is a branch of engineering in which we develop an
intelligent computer program. In other words, ai is a way of changing computer
behavior to think and act like a human.
● In Artificial intelligence(ai), we study human behavior on different problems, how
humans learn and plan to solve a problem in his way. Translating human thought
and developing intelligent software is the final goal in Artificial intelligence. Can a
machine think and behave as humans do? The development of Artificial intelligence
started to find a solution. People started to develop an intelligent program that can
act like a human.
One or a combination of multiple branches can be used to make an intelligent system
that can act like a human.
What is the artificial intelligence(ai) approach?
In the real world, knowledge has few challenges -
● The volume of knowledge is huge, and difficult to manage and store on a computer.
● Knowledge is not organized and well-formatted. For example, doctors write a
prescription on sample paper which is difficult to store on a computer. That’s why we
need an intelligent system to handle it.
● The nature of knowledge is changing constantly. The artificial intelligence (ai)
approach is a way to organize and use the knowledge smartly in such a way that -
● It should be understood by the people who provide it. It should be editable and
useful for the future.
Gaming - Look at computer games such as chess where machines think many
possible combinations/patterns in playing chess move.
Natural language processing - Google translator is an example of natural
language processing where we can interact with the computer and change the human
spoken natural language in different human spoken language.
Vision systems - Face recognition is an example of a vision system where
computers identify different visual inputs p
ut on the computer. The office attendance system is widely used to recognize
different staff in the office to register in and out time.
Speech Recognition - Google audio translator is an example of an intelligent
system which are capable to transform audio track in form of sentence. Nowadays
expert speech recognition systems are capable
to handle changes in a human tone, bac
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtificiMalikPinckney86
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the ...
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxtoddr4
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the.
AI & Cognitive Computing are some of the most popular business an technical words out there. It is critical to get the basic understanding of Cognitive Computing, which helps us appreciate the technical possibilities and business benefits of the technology.
Artificial intelligence in practice- part-1GMR Group
Summary is made in 5 parts-
This is Part -1
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
• The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment.
• Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
• It is used in areas ranging from banking and finance to social media and marketing.
• This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries.
• This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.
• This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution.
• Each case study provides a comprehensive overview, including some technical details as well as key learning summaries:
o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations
o Expand your knowledge of recent AI advancements in technology
o Gain insight on the future of AI and its increasing role in business and industry
o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce
This follow up post on the subject of Artificial Intelligence focuses on Expert Systems and the role of traditional experts in their design and development. It explores four main themes:
What do we mean by Expert?
How do experts work?
Expert Systems Application Domains, and
Features of rule based Expert (KB) Systems
What is Artificial Intelligence and Machine Learning (1).pptxprasadishana669
Artificial Intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include problem-solving, learning, perception, speech recognition, and language translation, among others. Machine Learning is a subset of AI that focuses on the development of algorithms and statistical models that enable computers to perform tasks without explicit programming.
1. A corporations distribution of additional shares of its own s.docxcuddietheresa
1.
A corporation's distribution of additional shares of its own stock to its stockholders without the receipt of any payment in return is called a: (Points : 2)
.
1. Like the modernists, postmodern writers focused on subjective e.docxcuddietheresa
1. Like the modernists, postmodern writers focused on subjective experience rather than objective cultural norms. (1 point)
expressing or dealing with facts or conditions as perceived without distortion by personal feelings, prejudices, or interpretations
characteristic of or belonging to reality as perceived rather than as independent of mind
characteristic of or belonging to the superficial world
none of the above
2. They reeled, whirled, swiveled, flounced, capered, gamboled, and spun. (1 point)
insult
twists; intricate designs
leapt; frolicked
sharp; pounding
3. He began to think glimmeringly about his abnormal son who was now in jail, about Harrison. (1 point)
beginning
watchfulness; caution
leapt; frolicked
intermittently; unsteadily
4. Stokesie’s married, with two babies chalked up on his fuselage already, but as far as I can tell that’s the only difference. (1 point)
central body portion of an airplane
evil; spiteful
handicaps; obstructions
none of the above
Read the following paragraph and answer questions 5–8.
Scientists report (1) that creatures living in the deep sea are in danger of starving to death. Millions of undiscovered species live, in the deep sea. Creatures in the seabed are suffering from growing food shortages. Which may be a result of rising sea temperatures. Scientists believe that some species will die out, those that can survive on a low food supply will continue living. Not much is known about the creatures that live in the deep sea, not much is known about the changes in their diets. Scientists estimate that up to 10 million species live in the depths of the sea. Most animals of the deep rely on food chains that begin. In the lighted realms of the sea. Microscopic plants called phytoplankton. Capture the sun and start the food cycle. (2) Wherever there are animal droppings, there is a constant rain of organic matter (3) that feeds the bottom dwellers.
5. The underlined part of sentence 1 is what kind of clause? (1 point)
adverbial clause
adjectival clause
noun clause
6. The underlined part of sentence 2 is what kind of clause? (1 point)
adverbial clause
adjectival clause
noun clause
7. The underlined part of sentence 3 is what kind of clause? (1 point)
adverbial clause
adjectival clause
noun clause
Essay
Note: Your teacher will grade your response to ensure that you receive proper credit for your answer. Your response should include the following to receive the points in parentheses:
Respond in 3–5 complete sentences. (5 pts)
8. Rewrite the paragraph above, correcting any fragments and run-on sentences. Be sure to use correct punctuation. (5 points)
True or False
9. The Beat Generation was a group of writers who fought to maintain traditionalism in America. (1 point)
true
false
10. Satire is used to make serious situations appear humorous using irony. (1 point)
true
false
11. Absurdism is the attempt to show the absurdity of t.
1. As the degree of freedom increase indefinitely, the t distribu.docxcuddietheresa
1.
As the degree of freedom increase indefinitely, the t distribution approaches the normal distribution. (Points : 1)
[removed] [removed] [removed] [removed]
.
1-Explain how the topography of the United states can affect the wea.docxcuddietheresa
1-Explain how the topography of the United states can affect the weather.
2-
Explain why or why not the bodies of water that are in close proximity to the Commonwealth (P.A.) can affect our weather.
3-
Explain how sometimes it can we warmer in Alaska in December than here in PA?
4-
Explain how the temperature can range 30 degrees in Pittsburgh to 55 Philadelphia during the month of January.
5
Explain how the temperature can range from 75 degrees in Pittsburgh to 45 in Philadelphia during the month of May.
6-
Explain how Texas can sometimes be colder than PA during the winter.
7
.
Explain how Florida can sometimes be cooler than PA during the summer.
.
1. An exporter faced with exposure to a depreciating currency can.docxcuddietheresa
1.
An exporter faced with exposure to a depreciating currency can reduce transaction exposure with a strategy of: (Points : 1)
[removed] [removed] [removed] [removed]
.
1. According to the central limit theorem, a population which is .docxcuddietheresa
1.
According to the central limit theorem, a population which is skewed to begin with will still be skewed when it is re-formed as a distribution of sample means. (Points : 1)
.
1. Which of the following is not a class of essential nutrient.docxcuddietheresa
1. Which of the following is not a class of essential nutrient?
a. Dietary supplements
b. Carbohydrates
c. Lipids
d. Minerals
2. Which of the following statements about the nutrient composition of the American diet is true?
a. It contains too little protein
b. It contains too little carbohydrate
c. It contains too little fat
d. It contains too many calories
3. A kcalorie is a measure of
a. Heat energy
b. Fat in food
c. Nutrients in food
d. Sugar and fat in food
4. Which of the following nutrients can directly supply energy for human use?
a. Lipids and oils
b. Fiber
c. Vitamins
d. Minerals
5. Gram for gram, which provides the most energy?
a. Carbohydrates
b. Proteins
c. Alcohol
d. Fats
6. Which of the following yield greater than 4 kcalories per gram?
a. Plant fats
b. Plant carbohydrates
c. Plant proteins
d. Animal proteins
7. Which of the following contain no calories?
a. Alcohol
b. Proteins
c. Carbohydrates
d. Vitamins
8. Which one of the following is a carbohydrate?
a. apples
b. chicken
c. potatoes
d. both a and c
9. Which of the following is a protein?
a. apples
b. chicken
c. potatoes
d. both a and c
10. Which of the following is a lipid?
a. oils
b. fat
c. cholesterol
d. all the above
11. Fats:
a. Regulate body temperature b. protect organs
c. produce energy d. All of the Above
12. Water is _____ of a person's total body weight.
a. 40% b. 65%-75%
c. 10% - 20% d. None of the above
13. When looking at the ingredient label of a bottled spaghetti sauce, you see that olive oil is the second ingredient. This means that
a. Olive oil is the second ingredient by alphabetical listing
b. Olive oil is just one of the ingredients present in the sauce
c. Olive oil is the second ingredient by weight
d. Olive oil is the second ingredient by amount present in the sauce
14. How many kcalories are provided by a 2-oz brownie with icing? Its nutrient composition is 1g of protein, 5g of fat, and 15g of carbohydrates
a. 89
b. 109
c. 84
d. 159
15. Which of the following provides the most kcalories?
a. 5g carbohydrate
b. 3g fat
c. 4g protein
d. 2g alcohol
16. One-half of a mashed potato with milk contains 2g of protein, 1g of fat, and 14g of carbohydrate. What percentage of the total kcalorie content is provided by carbohydrates
a. 19%
b. 72%
c. 82%
d. 77%
17. True or False: A nutrition facts label can list 0 grams of fat even if the food does in fact contain some fat.
.
1. The process by which one group takes on the cultural and other .docxcuddietheresa
1. The process by which one group takes on the cultural and other traits of a larger group is called _______. (1 point)
assimilation
pluralism
culture
integration
2. Chinatown in San Francisco and Little Havana in Miami are examples of _______. (1 point)
assimilation
pluralism
culture
integration
3. The Salad Bowl analogy of U.S. society states that (1 point)
ethnic groups living in the United States retain unique features, but also contribute to American culture as a whole.
all ethnic groups’ cultures have melted overtime into one distinct culture.
ethnic groups are entirely separated in U.S. society and have no influence upon one another.
immigrants must abandon their traditions to be successful in U.S. society.
4. A form of government in which a king or queen acts as head of state while parliament makes legislation is called a ________. (1 point)
monarchy
democracy
democratic parliament
constitutional monarchy
5. Based on the text, what was the African diaspora? (1 point)
the transporting of Africans to the New World for slave labor
the dispersion of Africans during and after the trans-Atlantic slave trade
the multiculturalism of African American colonies in the New World
the assimilation of African culture into that of the United States
6. Which is the term for a completely structured language that develops from a blending of native languages and introduced languages? (1 point)
Pidgin
Creole
Esperanto
Dialect
7. Which movement was initiated in the 1960s by Quebecer Réne Lévesque? (1 point)
a movement to give indigenous people their own province
a movement to make French the official language of Canada
an initiative to put an end to all immigration into Canada
a movement to make Quebec an independent sovereignty
8. Which U.S. city is best known for celebrating the tradition of Mardi Gras? (1 point)
San Francisco
New York City
New Orleans
Miami
9. Which country is responsible for laying Canada’s cultural foundation? (1 point)
Great Britain
France
The United States
Germany
10. Which group makes up the largest segment of the Mexican population? (1 point)
Spanish
Indigenous peoples
Mestizos
Aztecs
.
1. Milestone InvestingCompare and contrast the interests of .docxcuddietheresa
1. Milestone Investing
Compare and contrast the interests of entrepreneurs and investors to the concept of milestone investing? Is there the potential for conflict of interest? How can conflict be resolved? Respond to two of your classmates’ postings.
2. NVCA
Explore the website of the National Venture Capital Association. Briefly review the membership list and the focus of the venture funding association. Discuss the economic importance of venture backed companies to the U.S. Economy. Provide examples. Respond to two of your classmates’ postings.
.
1. All dogs are warm-blooded. All warm-blooded creatures are mamm.docxcuddietheresa
1.
All dogs are warm-blooded. All warm-blooded creatures are mammals. Hence, all dogs are mammals.
True or False: The sentence, “Hence, all dogs are mammals,” is a premise in this argument. (Points : 1)
.
1-3 Final Project Milestone #1 ProposalThroughout this course.docxcuddietheresa
1-3 Final Project Milestone #1: Proposal
Throughout this course you will be asked to make wiki posts about a company in which you are a stakeholder. Before you can make your first post (due next week), you must submit a proposal to your instructor below.
This 1–2 page proposal must:
Identify the company you have selected
Give a brief synopsis of the company, summarizing its purpose and goals
State your rationale and reason for selecting this company
Describe your role as a stakeholder in this company
Describe at least three other stakeholders and their relationship to the company you have selected
Conclusion: what you hope to gain/understand as you research about this company
After the handshake is agreed upon, I will give the comany that I have chosen. Paper must be:
1-2 page APA.
Pass Turnitin
Received on or before the deadline.
.
1-Please explain Ethical Universalism. Should organizations be socia.docxcuddietheresa
1-Please explain Ethical Universalism. Should organizations be socially responsible to their stakeholders?
2
What factors go into putting together a Strong Management Team?
3-
Please discuss how Benchmarking by adopting Best Practices of other companies and enacting Continuous Improvement aids in Organizational Performance.
4-
How does an organization develop an High Performance Culture?
.
1-an explanation of why the Marbury v. Madison case is a landmar.docxcuddietheresa
1-an explanation of why the
Marbury v. Madison
case is a landmark decision. Then briefly describe the Supreme Court case you reviewed and explain the significance of the
Marbury v. Madison
decision on the outcomes of the case. Be specific.
Note: Put the name of the Supreme Court case you reviewed in the first line of your post. You will be asked to respond to a colleague who selected a different Supreme Court case than you did.
Powers of the Supreme Court
There are a number of Supreme Court cases that have significantly impacted law and public policy. As you progress through the course, you will review many of these cases. For this Discussion, you are asked to consider the significance of the
Marbury v. Madison
case.
In the presidential election of 1800, Thomas Jefferson defeated the incumbent president, John Adams, a Federalist. Before John Adams left office, he appointed judges and justices of the peace for the District of Columbia who also were Federalists. All of the appointments for the new judges and justices of the peace were approved in a mass Senate hearing. However, four of the justices of the peace did not receive their commissions before John Adams’ presidency was over. One of these justices of the peace, William Marbury, petitioned the Supreme Court to force James Madison, the new Secretary of State under Jefferson, to deliver his commission. Marbury cited the Judiciary Act of 1789 which gave the Supreme Court the power to take such an action. In the end, Chief Justice John Marshall of the Supreme Court declared that the Judiciary Act of 1789 was unconstitutional and then denied Marbury’s petition.
This decision was the first time in history that the Supreme Court deemed a legislative act to be unconstitutional. As a direct result of the case, the concept of judicial review was established and the checks and balances of the U.S. Government were further defined.
2-a brief explanation of the Supreme Court’s role in policy making. Then describe two strengths and two limitations of the Supreme Court’s role in policy making.
Role of the Supreme Court in Policy Making
While the U.S. Supreme Court is extremely powerful, theoretically, it is not able to create law or public policy in the way that Congress or the President does. However, the Supreme Court is able to review public policies or laws that are disputed and determine their constitutionality. Supreme Court justices must determine which cases or disputes to hear and then determine if the laws or policies in such cases are constitutional. If they rule that the laws or policies are unconstitutional, they make recommendations about how the laws or policies should be changed or adapted. In this way, the Supreme Court engages in policy making.
To prepare for this Discussion:
Review the Preface and Introduction in the course text,
Landmark Supreme Court Cases: The Most Influential Decisions of the Supreme Court of the United States.
Consider the history of the Supreme Court a.
1-Discuss research that supports the hypothesis that a person’s ac.docxcuddietheresa
1-Discuss research that supports the hypothesis that a person’s action in the environment affects depth perception.
2-Name and discuss two characteristics of optic flow.
3-What is optic ataxia? Describe the method, results, and implications of the research by Schindler on optic ataxia patients
4-Contrast the three types of dichromatism, in regard to rates, neutral points, color experience, and proposed physiological cause.
5-Name, define, and give an example (in words) of six pictorial depth cues.
Due Sunday by 5PM
.
1-Imagine you are a historian, and the only existing sources of evid.docxcuddietheresa
1-Imagine you are a historian, and the only existing sources of evidence
regarding the conquest are documents from Indigenous sources. What can we
conclude by analyzing the Florentine Codex, the Annals of Tlatelolco, as well
as the excerpts from Oaxaca and Yucatan that best describes the conquest
from the perspective of the Indigenous population?
2-In 1844, U. S. President James K. Polk ran on a Democratic platform that
supported manifest destiny. Manifest Destiny is the idea that Americans were
predestined to occupy the entire North American continent. The last act of
Polk's predecessor, John Tyler, had been to annex the Republic of Texas in
1845. Polk wanted to lay claim to California, New Mexico, and land near the
disputed southern border of Texas. Mexico, however, was not so eager to let
go of these territories. What ensued later is referred in the historical records as
the Mexican American War. Examine the causes that precipitated the
Mexican American War, as well as the end result of this conflict.
.
1-How does relative humidity affect the comfort of people Can you e.docxcuddietheresa
1-How does relative humidity affect the comfort of people? Can you explain the physiological reasons for this?
2-The diurnal (daily) relationship between temperature and humidity is such that the lowest humidity should occur in the afternoon hours. It is during these times, however, when it often seems to be most humid and uncomfortable. What could be the reason for this
perceived
inconsistency?
3- When dew forms on outdoor objects, can it be assumed that the atmosphere is saturated? If so, why is there often no fog accompanying the dew?
4-
Can you think of any agents or circumstances that may cause the mixing ratio in a room to change?
.
1-1) In general, what is the effect of one party being mistaken abou.docxcuddietheresa
1-1) In general, what is the effect of one party being mistaken about the subject matter of
a contract?
a. The mistaken party can rescind the contract.
b. Either party can rescind the contract, and the mistaken party can recover damages.
c. Neither party can rescind the contract or recover damages.
d. Either party can rescind the contract and/or recover damages.
e. Either party can rescind the contract.
2-5) In Wilson v. Western National Life Insurance Company, involving the party who lied
allegedly regarding prior drug abuse in order to obtain life insurance, what was
the holding of the court when the party later died from a drug overdose?
Unit 3 Examination
a. The life insurance company had to pay the proceeds because if the plaintiff’s medical
records had been consulted, the drug abuse would have been discovered.
b. The life insurance did not have to pay the proceeds only because the deceased’s wife
was unaware of the misrepresentation.
c. The life insurance had to pay the proceeds because the deceased’s wife actually paid
the premiums.
d. The life insurance company had to pay the proceeds because the plaintiff was not
using drugs during the time the application for insurance was made.
e. The life insurance company did not have to pay the proceeds because of the concealment
of the drug abuse.
3-8) Frank had a bicycle that he advertised for sale, honestly believing it to be a 1999
model even though it was actually a 1996 model. There were significant improvements
in the frame material, not readily apparent, made between 1996 and 1999 to
this model bicycle. The buyer believed Frank’s statement that it was a 1999 model,
and was excited to be getting a model incorporating the improvements. After discovering
that the bike was actually a 1996 model, the buyer could avoid the contract on
the basis of:
a. unilateral mistake.
b. fraud.
c. mutual mistake.
d. B and C.
e. none of the above.
Unit 3 Examination
Business Law
4-9) The owner of a gym tells Ruppert that if he joins the gym for a year and hires a personal
trainer, his body will be more attractive to women and his life will change forever.
Ruppert joins and hires a personal trainer, but otherwise his life remains the
same. The statements of the gym owner could be described as:
a. statements of fact.
b. statements of opinions.
c. predictions about the future.
d. both B and C.
e. A, B and C.
5-10) Which of the following is the false statement?
a. A legal right arising from a breach of contract may be assigned.
b. The same right can be assigned more than once.
c. You must get everyone’s consent to make a novation.
d. Purely mechanical duties are not delegable.
e. There is a guarantor in a delegation.
6-11) When there has been an assignment of rights under a contract, who has a duty to
notify the obligor of the assignment?
a. The assignor.
b. The assignee.
c. Both the assignor and the assignee.
d. Neither the assignor nor the assi.
1- How did the United States become involved in the politics of Sout.docxcuddietheresa
1- How did the United States become involved in the politics of Southeast Asia? Describe two key decisions that escalated American involvement and determine their impact. How did a lack of political clarity in declaring the war’s objectives affect the military’s ability to fight?
2-
• Describe how students mobilized to protest in the 1960s. Why did student activism become so visible at this time?
200 words minimum.
.
1- I need someone who read the book (V for Vendetta) and saw the mov.docxcuddietheresa
1- I need someone who read the book (V for Vendetta) and saw the movie V.
2- The essay will be about the difference between Evey in the book and Evey in the movie.
3- The thesis will be
( Evey has big part in the story of V, but there is a big different in her character between the movie and the book ).
.
1- Define arbitration.2- Who is responsible for paying an arbitr.docxcuddietheresa
1- Define arbitration.
2- Who is responsible for paying an arbitrator’s fee?
3- When are punitive damages awarded?
4- What is the best for business necessity?
5- Do entities today use "constructive discharge" as a way to get rid of people so that they do not have to adhere to the WARN act?
.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docx
1. Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what
is typical for this program. Be mindful of this as you post and
respond in the Discussion. Your post is due on Day 7 and your
Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of
business information systems available to support business
operations, management, and strategy. As of 2013, these
include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and
operations that every organization must manage. The effective
manager understands the purpose of these types of systems and
how they can be best used to manage the organization's data and
information.
In this Discussion, you will share your knowledge and findings
related to business information systems and the role they play in
your organization. You will also consider your colleagues'
experiences to explore additional ways business information
systems might be applied in your colleagues' organizations, or
an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or
business information systems used in your organization, or in
one with which you are familiar.
· Discuss two examples of how these business information
2. systems are affecting the organization you selected. Be sure to
discuss how individual behaviors and organizational or
individual processes are changing and what you can learn from
the issues encountered.
· Summarize what you have learned about the importance of
business information systems and why managers need to
understand how systems can be used to the organization's
advantage.
You should find and use at least one additional current article
from a credible resource, either from the Walden Library or the
Internet. Please be specific, and remember to use citations and
references as necessary.
General Guidance: Your initial Discussion post, due by Day 7,
will typically be 3–4 paragraphs in length as a general
expectation/estimate. Refer to the rubric for the Week 1
Discussion for grading elements and criteria. Your Instructor
will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business
information systems have been applied in an organization with
which you are familiar. Read through your colleagues' posts and
by Day 3 (Week 2), respond to two of your colleagues in one or
more of the following ways:
· Examine how the business information systems described by
your colleague could be or are being used by your organization.
Offer additional ways either organization might take advantage
of these systems.
· Examine how the business information systems identified by
your colleague would affect your professional or personal
practices or your organization. What opportunities might there
be?
· Share your insights about the business information systems
identified by your colleague, and offer additional ideas about
the impact they might have and challenges that could occur.
· Expand upon the role of the business information systems
3. presented by your colleague and offer other opportunities,
solutions, or implications that your colleague may not have
shared.
· Explore other ways in which the technologies shared by your
colleague could be used.
General Guidance: Your Discussion responses, due by Day 3,
will each typically be 1–2 paragraphs in length as a general
expectation/estimate. Refer to the rubric for the Week 1
Discussion for grading elements and criteria. Your Instructor
will use the rubric to assess your work.
Bottom of Form
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT
SYSTEMS
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
4. · Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH
EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
5. · International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH
EXPERT SYSTEMS:
NEURAL NETWORKING:
6. Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Artificial Intelligence (AI) in the current technological crazed
world has been on the center stage. AI has commendable gained
notable popularity and visibility that is very string in the public
domain, business community, Educations and various other
special fields. At the moment the most successful business in
the world have not hesitated to fully take advantage of AI to
better their products, through presented AI to the consumer in a
7. cheaper state. This is the example Amazon Alexa AI, Apples
Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019).
These are a perfect example of the use of AI to make things
easier for the consumer, all these considered to be “personal
assistants. Expert Systems (ES) on the other hand are a
dominant filed in AI, basically the largest field in AI currently,
this is because it offers scientific, commercial and military
application of AI. This paper is aimed at looking at and
explaining the AI concepts and ES applications that have been
able to make the life of every individual in different field
easier. Like ROSS the Ai attorney, or the Dendral expert system
in medicine. The Implementation of AI technology cannot be
ignored in our daily lives cannot be ignored because of the
impact that such a technology is bringing to our world. Never
before have machines been able to mimic the human brain and
be able to tackles decision making or problem-solving instance
as better or just as the human brain. These aspects have caused
a major quagmire of mixed feelings. Mainly because the AI and
ESs will make our lives easier bhut at the same time it will step
in the place of human experts that will mean they will be
replaced. The paper clearly discusses on this fact on how the
ESs and Ai are not here to replace the Human experts,
especially the white-collar jobs but only to make their task
much easier.
KEYWORDS
Artificial Intelligence Technology, International Technology
Transfers, Experts Systems, Applied Artificial Intelligence
Human Experts.
8. INTRODUCTION
Artificial Intelligence (AI) can be described as the creation or
the simulation of human intelligence into machines with the aim
of mimicking the actions and thinking like human beings. The
term is broad as it can eb associated with any machine that is
able to display various human thinking traits like problem-
solving and learning. In the current world or the world to come
artificial intelligence will be the most used or preferred
technology as it will make the work easier or rather replace
human beings in tasks that are hard to be completed by human
beings the ideal characteristic of artificial intelligence is taking
actions and at the same rationalization with the aim of
completing a specific goal (Upadhyay & Khandelwal, 2019).
The most perceived idea about artificial intelligence is robots,
the immediate thing that comes to mind when someone mentions
the term artificial intelligence. This is through the novel and the
movies that weave stories depicting AI machines that bring
havoc to the world. But it might not be far from the truth, the
most important aspect to understand is that AI is continuously
developing into new and better versions on a daily basis; with
machines build withing various fields like; psychology,
linguistics, mathematics, computer science and more with the
aim of solving issues in these fields better than human beings.
There are many merits of AI, it is because as a simulation of the
human thinking it is developing and growing every day. These
merits clearly represent the AI and the include: AI has the
ability to adapt and predict. The use of algorithms has enabled
AI to predict and adapt, whereby patterns of past data are used
for future prediction and decision making. These patterns give
AI the ability to learn like human beings and put through
software systems that can be used to correct errors or predicting
what is going to be typed and estimation shortest routes to take
(Kietzmann & Pitt, 2019). These are some of the abilities under
this characteristic. AI simulates human intelligence, and
9. therefore every aspect the human intelligence has is mimicked
like for instance the ability to analyze data, make decisions and
gain new insights to make the best decisions, faster than human
counterparts. Which makes it preferred to human labor by most
companies. AI is also known as machine learning, meaning it
has the ability to continually learning through of the most
notable method know as deep learning used by Alexa, Siri,
Netflix and Google. Whereby analytical models are built to
perform tasks through countless trial and error. AI is reactive
meaning that atypical AI will perceive a problem and develop a
better solution for it; like the application on our gadgets predict
on our actions and provide recommendations that suit the user.
Finally, the rother major characteristic is the capability of
motion and perception since the development of AI in the last
50 years ago, AI has evolved into this phenomenon that is able
to have auditory, visual, speech perception and information
learning and processing that is perceptual. Whereby the goof
examples include: Amazon Alexa, Apple’s Siri and the Tesla’s
Self driving Cars.
The first practical application of AI was developed by the
British Mathematician Alan Turing, who was responsible for
conceptualizing machines that had the ability to think in the
1950s. at this point the seeds of AI were set and it picked up
from this moments, whereby followed by an AI lab that was
setup in Massachusetts in the year 1959 by Marvin Minsky
(Garnham 2017). Through this lab their collaboration with
Stanley Kubrick who received radical ideas from Marvin who
developed various literature and movies relating to AI the AI
excitement was further catapulted by the Invention of the
computer in the 1980s (Garnham 2017). whereby this opened
way for the tech corporations who have explored various fields
of AI that are used to bring technology close to the consumer
through affordability and through the various applications.
Today AI is considered to be everyway, in smartphones, traffic
routes, Netflix, Amazon and Apples and the other various
corporations or fields embracing AI. AI has transformed and is
10. continuing to transform how things work in the world, through
the basics of machine learning that are instrumental in various
instances: such as advertisement that are based on machine
learning focusing on the data inputs that are received from
different channels. But this can be considered as the beginning
of AI take over, the future is envisioned as an economy and
industry that is robot driven. A lot of companies are looking
into self-driven cars, which basically will change the basic
characteristics of private and public transport. Additionally, AI
has played an important part in the management and security
sector, through the analysis of anomalous data patterns. A good
example is the chatbot which is an AI application that is
increasingly used by companies replacing regular customer
service agents, which are not as effective as human. Although
creates an all-round customer engagement through machine
learning. Whereby a good example is the trials of AI genoming,
proving that humans and machines will come to works side by
side, and it will be considered normal as it is growing form the
various efforts put in place at the moment. The future of AI is
very clear, looking at how it has evolved to this moment;
although there are various challenges in the widespread
adoption, the world has overlooked over the advantages that AI
brings to the world and making work much easier, but also
ensuring that AI is managed effectively. There is an increased
risk which will affect the development of AI as it majorly
depends on Data, and it will be challenging as it will cause
social unrest and ensure human jobs are redundant. Whereby it
is the responsibility of people pushing AI to makes sure there is
a good balance between the positives and the negatives of AI
which will not destroy but bring a Positive AI revolution in the
Future (Pauschunder 2019).
Experts systems can be described as programs that rely on AI,
in other words these two are tied. There is no way to discuss AI
and without mentioning Expert systems, and vice versa. Experts
systems can use AI to simulate behavior and judgement of an
organization or human that has expert knowledge of a particular
11. field. Basically, an expert system brings together an interface of
rules known as engine and accumulated experience known as
knowledge base (Andikos et al. 2016). Whereby the rules engine
applies knowledge based to each situation that is spelled out in
the program. The capabilities of the system can be improved
with various addition to the set of rules or the knowledge base.
Current expert systems are typically equipped with capabilities
of machine learning which makes it easy for them to perform
better as humans through learning from experience. Developed
in the 1970s the expert systems have been significant in many
industries like telecommunications, financial, customer
services, healthcare, video games, transportation,
manufacturing, written communication and aviation. A good
example of an expert system was the groundbreaking medical
system which helped in the diagnosis. Deandra Expert System
assisted chemists to understand organic molecules that led to
the easy identification of various bacteria such as the meningitis
and bacteremia and recommend the nest dosage and antibiotics
(Tan 2017).
APPLICATIONS
Overview of Applied Artificial Intelligence
AI is rapidly growing and soon enough it will be covering
almost all areas of the world, whereby it is quickly moving from
the lad to the consumer and business applications (Bravo et al.
2016). The result creates a significant on how software is built
now as compared to previous versions. Now applied AI is one of
the powerful technologies powering the most successful
business currently, Apple, Google, Facebook and Amazon.
There are a few areas where AI has been applied which are:
Natural Language Processing (NLP) a branch of AI that mainly
deals with interactions between humans and computers using the
natural language, with the aim of reading, deciphering,
understanding and making sense of human language in a way
that is valuable. Robotics, AI in this field helps in saving
certain motions in the systems of robotics, these motions are
constantly refined that makes moving and installing robotic
12. systems easy to achieve; the result is robots being used in the
customer service sector globally. Machine Learning, as
mentioned before it is the way in machines learn new concepts
on its own without explicit programming, which is an applied
AI that enables automatic improvement and learning form
experience. These are some of the Application of AI in addition
to more others like Speech recognition and computer vision
(Hengstler et al. 2016).
Capabilities of Expert Systems
In AI, expert systems emulate the decision-making ability of
humans to solve various issues which is just a simple
description. Experts systems are built to have knowledge to one
domain like, engineering, science and medicine. This knowledge
as mentioned before is known as a knowledge base and has
gathered experiences that are tested after being loaded in the
system. The rules and adds-on to the knowledge base maybe add
to give the expert systems to create a better system. The system
is described as reliable, highly responsive, understandable and
high performance. Expert system typically will come into the
world to replace the individuals in the white collar and
analytical jobs. Because expert systems are excellent in pattern
matching, configuration, classification, reasoning, planning and
diagnosis (Bogdanova et al. 2016).
The Inference engine is the basis for the capabilities of ESs. To
have a particular solution the Inference engine manipulates the
knowledge that as acquired. For instance; when an Expert
system is rule-based in AI, there is the need to add knowledge if
require, the rules obtained from earlier application need to be
applied to the facts and this will resolve rules conflict,
especially when multiple rules are presented in an instance. The
following strategies are used to recommend a solution, the
forward chaining and the backwards chaining.
Forward chaining: this is a strategy used by an Experts System.
This strategy helps to answer the question what happens next.
Basically, the chain of derivations and conditions are followed
in this strategy and at the same time reduce the outcome. All the
13. rules and facts are considered and are sorted before the
conclusion is made to recommend a particular solution. A good
example is predicting the share market status, based on the
change in interest rates.
Image Source: Data Flair Team
Backward Chaining: This strategy is sued by the Expert System
to answer the question “why this happened?” normally in this
case what had already happened will be very significant matter
to the organization or the individual. Therefore, this strategy
will focus on finding out the conditions that led to the particular
outcome in place in the pat to have this result. Therefore, is a
strategy that finds reason or cause. For example, human blood
cancer.
Image source: Data Flair Team
Applications of Expert Systems
There are various application of Expert Systems, but the most
important things to consider when choosing and Expert System
ES is that the tool that has been chosen needs to match the
qualification the project team possess, and the tool selected for
the projected has to go hand in hand with the sophistication and
capability of the projected ES. The first application is the
troubleshooting and diagnosis of Devices of all kinds, basically
discovering faults and suggest remedies for these faults for a
device or process that is malfunctioning. A good example is
medical diagnosis the first ever application of ES. Planning and
Scheduling, systems in this case analyses interacting and
potentially complex goals and determine set of actions that can
be sued to achieve the same goals. At the same temporal
ordering of the actions can be initiated with the ES considering
material, account personnel and various constraints. Financial
Decisions Making, the financial service industry has a common
use of ES techniques some programs have been created for the
sole reason of advising bankers to whether give loans to
individuals and businesses (Wagner 2017). Knowledge
14. Publishing, this is a new application that has not been there for
some years but potentially an area that is rapidly growing. The
main function of the ES in this case is deliver relevant
knowledge to the problems the user presented. A good example
of ES in this sector is the advisor that guides the user on the use
of grammar in a text and an ES that guides the user on
individual tax policy and tax strategy, whereby the ES is known
as the tax advisor. Process Monitoring and Control, ES in this
application analyze real-time data obtained from physical
devices with the objective of predicting trends, establishing
anomalies, controlling failure correction and optimality. Design
and Manufacturing, Expert Systems in falling in particular field
assist in the design of physical processes and devices. Which
can be factory floor configuration of processes in manufacturing
or can be level conceptual design of entities considered to be
abstract.
Development of AI and Expert Systems
Experts Systems ES have been identified to be systems that
utilize AI to provide decisions making and problem techniques
that as close as to human intelligence working. Which means
that ES really needs Ai to function but at the same time it is an
independent entity on its own. As mentioned before expert
systems are hand in hand, AI as one grows the other follows the
pattern. As AI is taking over the world, ES follows the same
path are they are being deployed and developed in a various part
of the world in applications considered to be myriad. This is
because of the explanation capabilities and symbolic reasoning
of the ES. A good example is the recently developed Expert
System known as ROSS, which is an attorney AI that is built
under the principles of pattern recognition, deep learning, self-
learning systems and natural language processing that utilizes
data mining and at the same copy the working of the human
brain (Semmler & Rose, 2017). Whereby this qualifies to be a
particular exciting development yet controversial. It may not be
in every enterprise, but the development of AI and Experts
Systems has taken over the world.
15. EXPERT SYSTEMS (ESs) IN ORGANIZATION
ES provide both important and tangible value to various
organizations. As mentioned before, the most successful
business in the world have benefitted from the use AI and
Experts systems majorly through introducing them to their
consumers. The benefits should be measured against the
exploitation and development costs of an ES, that are basically
very expensive especially for ESs that are considered to
organizationally important and large (Masuch 2018). At this
moment it seems that Experts systems are the substitution for an
individual’s work but that is not the case as the ES can
substitute overall performance for a knowledge worker or the
white-collar jobs, mainly in analytics and problem-solving
tasks. But this is not true, yes, the systems can significantly
reduce the individual’s work dramatically required for the
knowledge worker to solve the problem but leave the innovative
and creative aspect of problem solving to the people. Basically,
ESs are tools that are developed to make work easier. The issue
is that it will reduce the work that two people would have
performed to be performed by one person, which is good for the
company, but it will create societal unrest of unemployment.
Therefore, looking at the benefits and limitation will help in
establishing where the ESs stand in organizations.
Benefits of AI along with Expert Systems
· The benefits of ESs are straight forward and are used to
reduce the tine taken, workload or resources used to complete a
task. This is only possible when AI is incorporated to the ESs.
The benefits include:
· Es are designed to be able to complete task presented to them
faster than how long a human expert would take in the same
task.
· The systems that are successful presents a low error rate,
whereby at times the error rate is much lower than when a
human expert is performing the same task.
· At the same when the ESs are given task, or problems to solve
they will come up with various recommendations, which is only
16. possible to a human expert who has experience in the particular
field.
· At some point there is the need for difficult-to-use sources of
knowledge in an application, ESs are used and turn out to be
convenient to make sure bring9ng the application to this point.
· ESs are instrumental because through machine they can eb
able to capture scarce expertise, maybe there is only a few
experts in a particular field, let’s say finance who are the only
ones who can perform the specific task. Through Experience the
uniquely qualified expert can be accurately mimicked by ESs.
· Currently ES are known used differently, basically
organizations know use ESs to build up organizational
knowledge, as compared to the organization’s knowledge of
individuals.
· For novices, wen training vehicles are used ESs produce
higher and faster learning curves.
· Finally, a point that will change the current narrative that
taints ESs existence is that, organizations can utilize AI and
ESs in environments that are hazardous for regular Human
Experts. A good example can be the exploration of Mars; the
planet is not safe for human habitation but AI and ESs can be
used to come up a better environment that will pave way for
human experts.
Limitation of Expert Systems
Given the various advantages or benefits that the ESs present,
the human expert remains the most intelligent and efficient
system on the planet. This is because there is no total and easy
solution that technology can offer. ESs are large, take a lot of
time to develop, need a lot of computer resources and overall,
very costly. This makes ESs have their own limitations which
are:
· Technological limitations, such as the dependence on data.
· There are also issues with the acquisition of knowledge.
· The principle area of ES application is operational domains.
· Affect the maintenance of Human Expertise in an
organization, whereby it is important as ESs are not 100%
17. reliable at some point they will need upgrading or break down.
NEURAL NETWORKING
Neural Networks are described as computer systems that are
modelled on the brain of a human being. These systems look
like interconnected mesh network of processing elements known
as neurons. The neural network has around 100 billion neuron
brain cells making them simpler that the brain (Shakya et al.
2018). However, just as the brain, these networks have the
ability to process various information pieces at the same time
and learn how to understand patterns and program to resolve
problems independently. A neural network “is an array of
interconnected processing elements, each of which can accept
inputs, process them, and produce a single output with the
objective of imitating the operation of the human brain.”
Information or knowledge that is given out in a neural network
in form of pattern connections that is within the elements of
processing and through the adjustment of the weights of the
same connections. Therefore, the neural networks get strength
from applications that need sophisticated recognition of
patterns. The weakness of neural networks is that they do not
sugar coat an explanation to the conclusion or answers they give
out.
18. REFERENCES
Andikos, A. F., Ali, G., & Purnomo, W. A. (2016). Expert
System for Decision Support Division of Inheritance According
to Islamic Law. IAES International Journal of Artificial
Intelligent (IJAI), 5(3), 89-94.
Bravo Serrano, À., Li, T. S., Su, A. I., Good, B. M., & Furlong,
L. I. (2016). Combining machine learning, crowdsourcing and
expert knowledge to detect chemical-induced diseases in text.
Bogdanova, Y. A., Zaripova, G. R., Kataev, V. A., & Galimov,
O. V. (2016). CAPABILITIES OF EXPERT SYSTEMS IN
FORECASTING OPERATIONAL RISK FOR THE MOST
COMMON INTERVENTIONS OF ABDOMINAL
SURGERY. YAKUT MEDICAL JOURNAL, (4), 54-58.
Garnham, A. (2017). Artificial intelligence: An introduction.
Routledge.
Puaschunder, J. M. (2019). Artificial Intelligence evolution: On
the virtue of killing in the artificial age. Scientia Moralitas-
International Journal of Multidisciplinary Research, 4(1), 51-72.
Hengstler, M., Enkel, E., & Duelli, S. (2016). Applied artificial
intelligence and trust—The case of autonomous vehicles and
medical assistance devices. Technological Forecasting and
Social Change, 105, 105-120.
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand:
Who’s the fairest in the land? On the interpretations,
illustrations, and implications of artificial intelligence. Business
Horizons, 62(1), 15-25.
Kietzmann, J., & Pitt, L. F. (2019). Artificial intelligence and
machine learning: What managers need to know.
Masuch, M. (Ed.). (2018). Organization, management, and
expert systems: models of automated reasoning (Vol. 23).
Walter de Gruyter GmbH & Co KG.
Mettleq, A., Soliman, A., & Abu-Naser, S. S. (2019). A Rule
19. Based System for the Diagnosis of Coffee
Diseases. International Journal of Academic Information
Systems Research (IJAISR), 3(3), 1-8.
Shakya, A., Bhattarai, L., Shahi, S., Kumar, S., & Rao, S.
(2018). Application of Artificial Neural Networking Technique
for the Lifecycle Assessment of Recycled Aggregate Concrete.
Semmler, S., & Rose, Z. (2017). Artificial intelligence:
Application today and implications tomorrow. Duke L. & Tech.
Rev., 16, 85.
Tan, H. (2017, September). A brief history and technical review
of the expert system research. In IOP Conference Series:
Materials Science and Engineering (Vol. 242, No. 1, p. 012111).
IOP Publishing.
Upadhyay, A. K., & Khandelwal, K. (2019). Artificial
intelligence-based training learning from
application. Development and Learning in Organizations: An
International Journal.
Wagner, W. P. (2017). Trends in expert system development: A
longitudinal content analysis of over thirty years of expert
system case studies. Expert systems with applications, 76, 85-
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What is Expert System in Artificial Intelligence – How it Solve
Problems by Data flair team, November 15th 2018. Retrieved
from https://data-flair.training/blogs/expert-system/
Discussion 1 - Week 1
Top of Form
Shared Practice—How Technology Changes How We Live and
20. Work
Digital technology seems ubiquitous, touching nearly every
aspect of our personal and professional lives. Its rapid evolution
continues to significantly affect how people live and work, and
how they communicate with one another, within increasingly
diverse, complex social networks. And the information lifecycle
today moves much faster than it did 30, 20, even 10 years ago.
Just as we adopt a new device or learn a new piece of software,
the next best and greatest innovation comes along that renders
our new tool or toy obsolete.
By Day 3
Post your insights about how information and information
technology have changed your daily life, both professionally
and personally. Focus on the technologies that have helped you
increase your effectiveness at work and in business, and how
you might apply these technologies as a business manager.
General Guidance: Your initial Shared Practice Discussion post,
due by Day 3, will typically be 2–3paragraphs in length as a
general expectation/estimate. Refer to the rubric for the Week 1
Shared Practice Discussion for grading elements and criteria.
Your Instructor will use the rubric to assess your work.
Respond to two of your colleagues in one or more of the
following ways:
· Explore additional ways that the technology experiences of
your colleagues might impact you or change your practices.
· Share with your colleague ideas for how they might adopt
other technologies to enable them to further improve their
effectiveness as business managers.
· Compare your colleague's experience with your own, and share
additional insights you gained.
General Guidance: Your Shared Practice Discussion responses,
due by Day 5, will each typically be 1–2 paragraphs in length as
a general expectation/estimate. Refer to the rubric for the Week
1 Shared Practice Discussion for grading elements and criteria.
Your Instructor will use the rubric to assess your work.