Podcast
Questions and Answers
Which of the following is not an example of AI use in organizations?
Which of the following is not an example of AI use in organizations?
- Analyzing satellite images to identify poverty levels
- Creating robots for teaching
- Cooking meals for customers (correct)
- Gate allocation for landing planes
Algorithmic trading involves patterns analysis in patient’s records.
Algorithmic trading involves patterns analysis in patient’s records.
False (B)
What has been observed in the education market recently?
What has been observed in the education market recently?
- There is less interest in digital transformation.
- It is growing. (correct)
- It has remained stagnant.
- It's experiencing a decline.
What is one potential negative aspect discussed regarding AI technology?
What is one potential negative aspect discussed regarding AI technology?
The line between real and realistic is becoming clearer.
The line between real and realistic is becoming clearer.
AI for good can be seen in the analysis of ________ images to identify poverty levels.
AI for good can be seen in the analysis of ________ images to identify poverty levels.
What capability can be exploited according to the content?
What capability can be exploited according to the content?
The unprecedented speed of ___ adoption is changing industries.
The unprecedented speed of ___ adoption is changing industries.
Match the following AI applications with their purposes:
Match the following AI applications with their purposes:
Match the following terms with their descriptions:
Match the following terms with their descriptions:
What distinguishes a deep learning algorithm from a single neural network?
What distinguishes a deep learning algorithm from a single neural network?
Machine Learning (ML) requires explicit programming to learn from data.
Machine Learning (ML) requires explicit programming to learn from data.
What is the purpose of training data in Machine Learning?
What is the purpose of training data in Machine Learning?
Deep Learning (DL) is a subset of __________ that uses artificial neural networks to process information.
Deep Learning (DL) is a subset of __________ that uses artificial neural networks to process information.
In unsupervised learning, what does the algorithm lack?
In unsupervised learning, what does the algorithm lack?
Match the types of learning with their descriptions:
Match the types of learning with their descriptions:
Neural Networks reflect the behavior of the __________, allowing pattern recognition.
Neural Networks reflect the behavior of the __________, allowing pattern recognition.
What are two other names for Neural Networks?
What are two other names for Neural Networks?
What is the primary capability of Artificial Intelligence (AI)?
What is the primary capability of Artificial Intelligence (AI)?
AI is solely about automating physical tasks.
AI is solely about automating physical tasks.
Provide one example of how organizations can exploit the potential of Generative AI.
Provide one example of how organizations can exploit the potential of Generative AI.
AI is the simulation of human __________.
AI is the simulation of human __________.
Match the AI definitions with their descriptions:
Match the AI definitions with their descriptions:
What significant increase in the adoption of AI has been attributed to?
What significant increase in the adoption of AI has been attributed to?
Generative AI and conventional AI operate on the same principles and methods.
Generative AI and conventional AI operate on the same principles and methods.
What are two key abilities of AI mentioned in the content?
What are two key abilities of AI mentioned in the content?
What is one of the benefits of GenAI in relation to tasks?
What is one of the benefits of GenAI in relation to tasks?
GenAI enhances customer experience by providing personalized content.
GenAI enhances customer experience by providing personalized content.
Name one area where GenAI can be applied for external products.
Name one area where GenAI can be applied for external products.
GenAI can explore vast __________ spaces or complex data sets.
GenAI can explore vast __________ spaces or complex data sets.
Match the following applications of GenAI with their target:
Match the following applications of GenAI with their target:
Which of the following is NOT a benefit of GenAI?
Which of the following is NOT a benefit of GenAI?
GenAI solely focuses on internal processes and does not impact customer-facing operations.
GenAI solely focuses on internal processes and does not impact customer-facing operations.
Identify one way GenAI fosters innovation.
Identify one way GenAI fosters innovation.
What does GenAI refer to in the context of coding?
What does GenAI refer to in the context of coding?
GenAI can be utilized for social listening.
GenAI can be utilized for social listening.
Name one application of GenAI in the pharmaceutical industry.
Name one application of GenAI in the pharmaceutical industry.
GenAI is often employed to enhance __________ in e-commerce operations.
GenAI is often employed to enhance __________ in e-commerce operations.
Match the following GenAI applications with their corresponding industries:
Match the following GenAI applications with their corresponding industries:
Which new GenAI product was recently rolled out by Google Cloud?
Which new GenAI product was recently rolled out by Google Cloud?
Structured processes in GenAI are characterized by uncertain inputs and outputs.
Structured processes in GenAI are characterized by uncertain inputs and outputs.
What is the role of social listening in the context of GenAI?
What is the role of social listening in the context of GenAI?
A __________ perspective on GenAI considers both structured and emergent processes.
A __________ perspective on GenAI considers both structured and emergent processes.
Which industry has seen applications of GenAI in enhancing cultural experiences?
Which industry has seen applications of GenAI in enhancing cultural experiences?
Flashcards
Definition of AI
Definition of AI
AI is the simulation of human intelligence by machines, this includes the ability to solve problems and act rationally like humans.
AI thinking like humans
AI thinking like humans
AI systems attempt to replicate human thought processes, like decision-making and problem-solving.
AI acting rationally
AI acting rationally
AI systems are designed to perform tasks logically and make appropriate decisions based on reasoning.
AI acting like humans
AI acting like humans
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Generative AI
Generative AI
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AI impact on organizations
AI impact on organizations
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Exploiting Generative AI
Exploiting Generative AI
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AI adoption stats
AI adoption stats
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AI for Good
AI for Good
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AI in Education
AI in Education
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AI in Aviation
AI in Aviation
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AI's Dark Side
AI's Dark Side
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Neural Networks (NN)
Neural Networks (NN)
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Deep Learning (DL)
Deep Learning (DL)
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Machine Learning (ML)
Machine Learning (ML)
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Supervised Learning
Supervised Learning
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Unsupervised Learning
Unsupervised Learning
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Reinforcement Learning
Reinforcement Learning
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Artificial Neural Networks (ANN)
Artificial Neural Networks (ANN)
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Depth of Neural Network
Depth of Neural Network
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Digital artefact
Digital artefact
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GenAI capability
GenAI capability
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Blurred line between real and realistic
Blurred line between real and realistic
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Unprecedented speed of adoption
Unprecedented speed of adoption
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Growing education market
Growing education market
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GenAI for coding
GenAI for coding
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GenAI in research and writing
GenAI in research and writing
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Social listening
Social listening
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Efficiency in e-commerce
Efficiency in e-commerce
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Efficiency in the pharma industry
Efficiency in the pharma industry
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GenAI in healthcare: "Hello, I’m the Doctor"
GenAI in healthcare: "Hello, I’m the Doctor"
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GenAI for Contact Centers
GenAI for Contact Centers
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GenAI with 'character'
GenAI with 'character'
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GenAI and the Cultural Creative Industry
GenAI and the Cultural Creative Industry
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A framework to analyze the benefits of GenAI
A framework to analyze the benefits of GenAI
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GenAI's Impact on Processes
GenAI's Impact on Processes
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GenAI's Efficiency Boost
GenAI's Efficiency Boost
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GenAI for Innovation
GenAI for Innovation
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GenAI's Target: External Products
GenAI's Target: External Products
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GenAI's Target: Internal Support
GenAI's Target: Internal Support
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GenAI and the Customer Experience
GenAI and the Customer Experience
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GenAI as a Tool for Enhancing Customer Experience
GenAI as a Tool for Enhancing Customer Experience
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The Power of Generative AI
The Power of Generative AI
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Study Notes
Week 5: Drivers of Digital Transformation
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AI Adoption Increased: AI adoption in organizations has increased dramatically in recent years, largely thanks to Generative AI. In 2017, the definition of AI adoption was using AI in a core part of the organization; it is now measured by AI adoption in at least one business function.
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Generative AI Definition: Generative AI is a type of AI that can create new content. It is a subset of AI enabling the creation of novel information.
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AI Impact on Organizations: Artificial Intelligence (AI) impacts organizations in many ways, including cost reduction, process automation, and improved decision-making.
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AI Exploitation Potential: Organizations exploit generative AI to improve efficiency and gain a competitive advantage.
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AI Adoption Statistics (2018-2024): In 2018, 40% of organizations actively used AI, devoting over 5% of their digital budgets to it; by 2023 this number had increased to 52%.
What is AI?
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Definition 1: AI is the simulation of human intelligence by machines.
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Definition 2: AI is the ability to solve problems.
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Definition 3: AI is the ability to act rationally (logically).
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Definition 4: AI is the ability to act like humans.
Definitions of AI
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Thinking Like Humans: Haugeland (1985) described AI as the effort to create machines that think. Bellman (1978) equated AI to automating human activities including thinking, decision making and problem solving.
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Acting Like Humans: Kurzweil (1990) defined AI as creating machines to perform functions that require intelligence when performed by people. Rich & Knight (1991) described it as making computers do things humans are better at.
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Thinking Rationally: Charniak et al. (1985) characterized AI as the study of mental faculties through computational models, and Winston (1992) described it as the study of computations used to perceive, reason and act.
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Acting Rationally: Schalkol (1990) defined AI as a field that seeks to explain and emulate intelligent behavior through computational processes while Nilsson (1998) described it as intelligent behavior in artifacts.
Definitions of AI (Dimensions)
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Thinking Processes and Reasoning (Think): AI systems succeed if they think like human brains.
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Behavior (Acting): AI systems succeed by measuring against an ideal concept of rationality. A system is intelligent if rational and "does the right thing".
What is AI? (Interpretations)
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Simulation of Human Intelligence: AI is the simulation of human intelligence by machines.
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Solving Problems: AI is the ability to solve problems.
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Acting Rationally (Logically): AI is the ability to act rationally (logically).
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Acting Like Humans: AI is the ability to act like humans.
The Current Perspective: The Rational Agent
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Agent Definition: An agent is something that acts (Latin agere). Agents are computer programs that operate autonomously, perceive environments, change and pursue goals.
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Rational Agent Definition: A rational agent acts to achieve the best outcome. The right thing is maximizing expected return.
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Utility Function: A rational agent needs a utility function.
AI Use Cases in Organizations (Examples)
- **Healthcare:** Solving patients' problems, image recognition, analysis of patients' records.
- **Heavy Industry:** Robot automation, repetitive tasks, learning without training.
- **Finance:** Algorithmic Trading, market analysis, data mining, portfolio management.
- **Aviation:** Gate allocation, ticket pricing, and plane landing.
- **Education:** Robots for teaching, creating subjects.
- **Al for good:** Analyzing satellite images to identify poverty areas.
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Al in Research and Writing: Tools for creative processes can help with meta-data, accelerate research, and create interactions in the media ecosystem.
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Social Listening: GenAI can help companies by summarizing large amounts of data, understanding historical context, researching keywords, writing boolean queries and working with foreign languages.
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Efficiency in E-commerce: eBay has a tool to generate product listings from a single photo.
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Efficiency in Pharma Industry: AI can help identify better targets in pharmaceutical R&D, accelerating the identification of best possible treatment cures.
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Using GenAl in Contact Centers: OpenAI has launched a GPT Store--a library of ChatGPT-powered bots to perform particular tasks in Contact Centers.
A Framework to analyze the benefits of GenAl
- GenAI benefits: GenAI can personalize content and experiences for customers, strengthen marketing effectiveness and help develop new products or services, by streamlining internal workflows, facilitating communication and knowledge sharing, and empowering employees.
A process perspective on GenAl
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Structured Processes: In a structured process, the steps and sequence is known and predefined to complete a process or task in a routine manner. Inputs and outputs are also predetermined in a structured process.
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Emergent processes: These processes are non-routine and guided by emergent knowledge during the process. They are not defined and have no predetermined inputs or outputs or steps to follow.
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GenAI in Structured and Emergent processes: structured tasks can be completed with heightened efficiency and accuracy through the use of GenAI whereas GenAI can explore previously unknown possibilities in emergent processes.
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Test your knowledge on various applications and implications of artificial intelligence in different sectors such as education and finance. This quiz explores AI's impact, advantages, and challenges, and will help you understand key concepts in machine learning and deep learning.