Podcast
Questions and Answers
What is a primary concern related to digital commerce?
What is a primary concern related to digital commerce?
- Ensuring customer loyalty
- Enhancing product visibility
- Maximizing profit margins
- Vast competition and data security (correct)
What issue is described as the 'digital divide'?
What issue is described as the 'digital divide'?
- Conflicting online policies
- Difficulty in data transfer
- Lack of software compatibility
- Unequal access to advanced technology (correct)
Which of the following is emphasized in digital health and welfare?
Which of the following is emphasized in digital health and welfare?
- Promoting wellness while using technology (correct)
- Improving customer engagement
- Fostering competitive advantage
- Maximizing search engine optimization
What rights are outlined within digital law?
What rights are outlined within digital law?
What aspect of digital privacy involves controlling personal information?
What aspect of digital privacy involves controlling personal information?
Which system was designed to automatically select and order computer components based on customer specifications?
Which system was designed to automatically select and order computer components based on customer specifications?
Which of the following is considered the first chatterbot?
Which of the following is considered the first chatterbot?
What was the primary function of the Stanford Cart?
What was the primary function of the Stanford Cart?
Which robot is specifically known for vacuuming floors?
Which robot is specifically known for vacuuming floors?
Which AI technology defeated the world chess champion in 1997?
Which AI technology defeated the world chess champion in 1997?
Which type of e-commerce involves businesses selling directly to individual consumers?
Which type of e-commerce involves businesses selling directly to individual consumers?
What is the primary objective of ICT in social networks?
What is the primary objective of ICT in social networks?
Which form of e-commerce includes selling both physical and digital products?
Which form of e-commerce includes selling both physical and digital products?
Which type of e-commerce is characterized by consumers providing feedback to businesses?
Which type of e-commerce is characterized by consumers providing feedback to businesses?
What does G2C stand for in the context of e-commerce?
What does G2C stand for in the context of e-commerce?
Which of the following is NOT a form of e-commerce listed?
Which of the following is NOT a form of e-commerce listed?
What benefit does ICT provide in governance through e-governance?
What benefit does ICT provide in governance through e-governance?
Which of these is a characteristic of mobile e-commerce (M-commerce)?
Which of these is a characteristic of mobile e-commerce (M-commerce)?
What is the key goal of unsupervised learning?
What is the key goal of unsupervised learning?
Deep Learning is a subset of Machine Learning that:
Deep Learning is a subset of Machine Learning that:
What is the input layer in a neural network responsible for?
What is the input layer in a neural network responsible for?
What does predictive analytics do?
What does predictive analytics do?
What percentage of global data is unique?
What percentage of global data is unique?
What are the five Vs of Big Data?
What are the five Vs of Big Data?
Which robot is designed for underwater exploration?
Which robot is designed for underwater exploration?
Which AI capability category does Sophia fall under?
Which AI capability category does Sophia fall under?
What kind of data has a well-defined structure and format?
What kind of data has a well-defined structure and format?
Which term describes the use of large datasets to improve operations and derive insights?
Which term describes the use of large datasets to improve operations and derive insights?
What is the main purpose of diagnostic analytics?
What is the main purpose of diagnostic analytics?
Which of the following is a risk of Artificial Intelligence?
Which of the following is a risk of Artificial Intelligence?
What is the goal of reinforcement learning?
What is the goal of reinforcement learning?
What does a user interface in an expert system do?
What does a user interface in an expert system do?
Which analytics type combines intelligent technologies to mimic human intelligence?
Which analytics type combines intelligent technologies to mimic human intelligence?
What makes data analytics important in digital processes?
What makes data analytics important in digital processes?
What is the primary objective of prescriptive analytics?
What is the primary objective of prescriptive analytics?
Which of the following best represents structured data?
Which of the following best represents structured data?
What does 'data wrangling' refer to in Big Data Analytics?
What does 'data wrangling' refer to in Big Data Analytics?
What is a disadvantage of ICT in education?
What is a disadvantage of ICT in education?
Which AI application is primarily used for facial recognition?
Which AI application is primarily used for facial recognition?
Which component of Big Data Analytics ensures data accuracy and credibility?
Which component of Big Data Analytics ensures data accuracy and credibility?
What makes Big Data especially valuable to organizations?
What makes Big Data especially valuable to organizations?
Which type of AI applies human brain-like intelligence to tasks?
Which type of AI applies human brain-like intelligence to tasks?
Flashcards
Chatterbot
Chatterbot
A program that can understand and respond to human language, like Siri or Alexa.
Robotics
Robotics
A branch of engineering focused on designing, building, and operating robots that can perform tasks without human control.
Shakey
Shakey
The first electronic person, developed by Stanford Research Institute, was capable of interacting with its environment.
Deep Blue
Deep Blue
IBM's Deep Blue computer famously defeated the world chess champion in 1997, showcasing the power of AI.
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Roomba
Roomba
A robot specifically designed for vacuuming floors. This popular household robot is a prime example of how robotics is used in everyday life.
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B2C
B2C
Business to consumer (B2C) is a model where companies sell products or services directly to individual customers.
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B2B
B2B
Business to business (B2B) involves transactions between companies, where one business sells goods or services to another.
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C2B
C2B
Consumer to business (C2B) occurs when individuals sell products or services to companies, often online.
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C2C
C2C
Consumer to consumer (C2C) involves transactions between individuals, usually facilitated by online marketplaces.
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E-governance
E-governance
E-governance refers to using information and communication technology (ICT) to deliver public services to citizens, businesses, and other government agencies.
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Social Networks
Social Networks
Social networks are platforms that allow users and organizations to connect, communicate, share information, and build relationships.
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ICT in Social Networks
ICT in Social Networks
ICT (Information and Communication Technology) plays a crucial role in transforming social networks by increasing accessibility, enabling real-time communication, and facilitating collaboration.
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M-commerce
M-commerce
M-commerce refers to conducting commercial transactions using mobile devices, such as smartphones or tablets.
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Digital Divide
Digital Divide
The uneven access to technology and the internet, creating a gap between those who have it and those who don't.
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Digital Privacy
Digital Privacy
Ensuring that your personal information is protected online, controlling who can see and use it.
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Digital Security
Digital Security
Taking steps to prevent unauthorized access to your data and devices, like using strong passwords and firewalls.
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Digital Law
Digital Law
The legal rules and regulations governing how technology is used, including issues like copyright and online behavior.
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Digital Commerce
Digital Commerce
The practice of buying and selling goods and services online, using websites, mobile apps and other digital platforms.
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Unsupervised Learning
Unsupervised Learning
A type of learning where the algorithm discovers patterns in unlabeled data without guidance.
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Deep Learning
Deep Learning
A subset of machine learning using artificial neural networks with at least three layers, designed to learn complex representations from data.
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Input Layer
Input Layer
The first layer in a neural network responsible for receiving input data and transforming it into a format suitable for further processing.
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Predictive Analytics
Predictive Analytics
A type of analytics used to predict future events based on historical data and patterns.
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Turing Test
Turing Test
A test designed to evaluate a machine's ability to exhibit human-like intelligence by holding a conversation.
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Reactive AI
Reactive AI
A type of AI that can only react to its environment in a predetermined way and cannot learn or adapt.
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Machine Learning & Data
Machine Learning & Data
Machine learning algorithms improve their accuracy and performance with more data.
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Artificial Super Intelligence (ASI)
Artificial Super Intelligence (ASI)
The highest level of AI, characterized by hypothetical machines possessing human-level consciousness and self-awareness.
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Structured data
Structured data
Data that is organized in a structured format with defined fields and relationships, making it easily searchable and analyzable.
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Big Data Analytics
Big Data Analytics
The process of examining large datasets to identify patterns, trends, and insights that can improve decision-making and operations.
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Diagnostic Analytics
Diagnostic Analytics
A type of analytics focused on uncovering the root cause of events or problems.
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Cognitive Analytics
Cognitive Analytics
Combining artificial intelligence and analytics techniques to mimic human intelligence and make decisions.
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Expert system
Expert system
A computer system designed to simulate human expertise in a specific domain.
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User interface (Expert system)
User interface (Expert system)
The part of an expert system that allows users to interact with the system, providing input and receiving output.
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Reinforcement learning
Reinforcement learning
A type of machine learning that focuses on training algorithms by providing feedback and rewards for successful actions.
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Prescriptive Analytics
Prescriptive Analytics
Recommending actions to take based on data analysis, aiming to optimize outcomes.
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Benefits of ICT in Education
Benefits of ICT in Education
ICT stands for Information and Communication Technology. It encompasses all technologies involved in creating, storing, processing, and sharing information. It brings several benefits to education like promoting interactivity and providing access to vast resources.
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Disadvantages of ICT in Education
Disadvantages of ICT in Education
While ICT offers advantages, it also has drawbacks. These include high costs, potential for distraction and dependence on technology, and the need for ongoing training and support.
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Computer Vision in AI
Computer Vision in AI
Computer Vision is a field of AI that enables computers to 'see' and interpret visual information. It is used in facial recognition systems.
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Cognitive AI
Cognitive AI
Cognitive AI mimics human brain functions. It uses deep learning and neural networks to learn, reason, and solve complex problems.
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Knowledge Base in Expert Systems
Knowledge Base in Expert Systems
The knowledge base in an expert system stores facts, rules, and information about a specific domain. Experts help build the knowledge base by defining the domain and adding relevant information.
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Data Wrangling
Data Wrangling
Data wrangling involves cleaning, preparing, and transforming raw data into a usable format for analysis. It ensures the quality and consistency of data for accurate insights.
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Artificial Intelligence
- Use of computer systems to simulate human mental processes, including language interpretation and generation.
- Coined by John McCarthy in 1956.
- Defined as the science and engineering of creating intelligent machines.
Automation
- Setting up robots to follow predefined rules.
- Setting up robots to make their own decisions based on human input.
Components of Intelligence
- Learning
- Reasoning
- Problem-solving
- Perception
- Language
How Artificial Intelligence Works
- Combines massive datasets with quick, iterative processing and intelligent algorithms.
- Data Input
- Data Processing
- Outcome
- Assessment
- Adjustments
Artificial Intelligence Science
- Aims to create machines that think and act like humans.
- Includes the concepts of perception, logic, and learning.
Machine Learning Categories
- Supervised Learning: Creating models from marked datasets to predict outcomes (e.g., spam filtering, facial recognition).
- Unsupervised Learning: Algorithms identify patterns in unlabeled datasets without human guidance (e.g., recommendation engines, anomaly detection).
- Reinforcement Learning: Models improve performance through feedback data (e.g., games like Chess and Go, autonomous vehicles).
Deep Learning
- A subset of machine learning using complex algorithms and artificial neural networks.
- Uses layered neural networks to perform tasks on vast datasets.
- Improves in accuracy as it processes more training data.
Structure of Artificial Intelligence
- Artificial intelligence encompasses various related technologies functioning together to achieve specific goals.
Deep Learning Structure
- Input layer: Data enters the system.
- Hidden layers: Data is processed and moved to other layers.
- Output layer: Prediction is produced.
History of Artificial Intelligence
- Alan Turing's Turing Test (1950)
- John McCarthy's coining of the term "Artificial Intelligence" (1956)
- Development of key AI concepts and technologies over time.
Big Data Analytics
- Data as a valuable resource; valuable and necessary for modern operations.
- Data is the new "oil" because of its worth and importance in modern operations.
- Processes to find patterns in large datasets, extract meaning, and generate information for insightful decision-making.
- Volume, velocity, variety, veracity, and value define big data characteristics.
Data Analytics Goals
- Predict future outcomes.
- Identify patterns in data.
- Discover relationships between data points.
Data Analytics Types
- Descriptive analytics: Summarizing what has happened.
- Diagnostic analytics: Identifying why something occurred.
- Predictive analytics: Determining what will likely happen.
- Prescriptive analytics: Identifying the best course of action to take.
Types of Data
- Structured data (e.g., databases, spreadsheets).
- Semi-structured data (e.g., JSON files, XML).
- Unstructured data (e.g., images, text files).
Data Analysis Processes
- Data collection, processing, cleaning, and transforming.
- Extraction and creation of insights from raw datasets.
Types of E-commerce
- Business-to-consumer (B2C)
- Business-to-business (B2B)
- Consumer-to-business (C2B)
- Consumer-to-consumer (C2C)
- Government-to-business (G2B)
- Government-to-citizen (G2C)
ICT in Governance
- E-governance uses ICT to provide efficient government services to citizens.
- G2G: Government-to-Government - interactions between government agencies.
- G2C: Government-to-Citizen - interactions between governments and citizens (e.g., online services for citizens).
- G2B: Government-to-Business - interactions between governments and businesses.
Good Digital Citizenship
- Responsible, ethical, and safe use of online resources.
- Encourages positive interactions in the digital sphere.
Bad Digital Citizenship
- Negatively impacts online interactions.
- Includes cyberbullying, misinformation, and general lack of internet safety awareness.
Cybersecurity
- Subset of information technology security, involves protecting systems, networks, and programs from attacks.
- Important for protecting sensitive data and preventing data breaches.
Types of Cybersecurity Threats
- Malware (e.g., ransomware, viruses).
- Social engineering attacks
- Distributed denial-of-service attacks
- Man-in-the-middle attacks
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