Digital Commerce and AI Quiz

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Questions and Answers

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'?

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?

Promoting wellness while using technology (correct)

Improving customer engagement

Fostering competitive advantage

Maximizing search engine optimization

What rights are outlined within digital law?

Legal rights and restrictions governing technology usage Signup and view all the answers

What aspect of digital privacy involves controlling personal information?

Privacy, the right to control how your info is viewed and used Signup and view all the answers

Which system was designed to automatically select and order computer components based on customer specifications?

R1 /XCON Signup and view all the answers

Which of the following is considered the first chatterbot?

Eliza Signup and view all the answers

What was the primary function of the Stanford Cart?

To simulate a remote-controlled moon rover Signup and view all the answers

Which robot is specifically known for vacuuming floors?

Roomba Signup and view all the answers

Which AI technology defeated the world chess champion in 1997?

Deep Blue Signup and view all the answers

Which type of e-commerce involves businesses selling directly to individual consumers?

B2C Signup and view all the answers

What is the primary objective of ICT in social networks?

To share information and form relationships Signup and view all the answers

Which form of e-commerce includes selling both physical and digital products?

Retail Signup and view all the answers

Which type of e-commerce is characterized by consumers providing feedback to businesses?

C2B Signup and view all the answers

What does G2C stand for in the context of e-commerce?

Government to Consumer Signup and view all the answers

Which of the following is NOT a form of e-commerce listed?

Virtual Reality Signup and view all the answers

What benefit does ICT provide in governance through e-governance?

Improved communication with citizens Signup and view all the answers

Which of these is a characteristic of mobile e-commerce (M-commerce)?

Allows transactions via mobile devices Signup and view all the answers

What is the key goal of unsupervised learning?

To find patterns in unlabeled data Signup and view all the answers

Deep Learning is a subset of Machine Learning that:

Uses neural networks with three or more layers Signup and view all the answers

What is the input layer in a neural network responsible for?

Receiving data for processing Signup and view all the answers

What does predictive analytics do?

Forecasts what is likely to happen Signup and view all the answers

What percentage of global data is unique?

20% Signup and view all the answers

What are the five Vs of Big Data?

Veracity, Volume, Variety, Velocity, Value Signup and view all the answers

Which robot is designed for underwater exploration?

OceanOne Signup and view all the answers

Which AI capability category does Sophia fall under?

Artificial Narrow Intelligence (ANI) Signup and view all the answers

What kind of data has a well-defined structure and format?

Structured data Signup and view all the answers

Which term describes the use of large datasets to improve operations and derive insights?

Big Data Analytics Signup and view all the answers

What is the main purpose of diagnostic analytics?

Determining why something happened Signup and view all the answers

Which of the following is a risk of Artificial Intelligence?

Bias and discrimination Signup and view all the answers

What is the goal of reinforcement learning?

Improving model performance using feedback Signup and view all the answers

What does a user interface in an expert system do?

Provides interaction for end users Signup and view all the answers

Which analytics type combines intelligent technologies to mimic human intelligence?

Cognitive Analytics Signup and view all the answers

What makes data analytics important in digital processes?

It provides real-time insights Signup and view all the answers

What is the primary objective of prescriptive analytics?

Recommending actions to take next Signup and view all the answers

Which of the following best represents structured data?

Transactional data and spreadsheets Signup and view all the answers

What does 'data wrangling' refer to in Big Data Analytics?

Cleaning and preparing data for analysis Signup and view all the answers

What is a disadvantage of ICT in education?

Equipment is expensive Signup and view all the answers

Which AI application is primarily used for facial recognition?

Computer Vision Signup and view all the answers

Which component of Big Data Analytics ensures data accuracy and credibility?

Veracity Signup and view all the answers

What makes Big Data especially valuable to organizations?

The actionable insights it provides Signup and view all the answers

Which type of AI applies human brain-like intelligence to tasks?

Cognitive Analytics Signup and view all the answers

Study Notes

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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Description

Test your knowledge on the essential concepts of digital commerce and artificial intelligence. This quiz covers a variety of topics, including digital privacy, e-commerce types, digital health, and famous AI technologies. Challenge yourself to see how well you understand the interplay between technology and commerce.