Week 5: Drivers of Digital Transformation
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Questions and Answers

Which of the following is a common use case for AI in healthcare?

  • Robot automation
  • Managing finances
  • Solving patients’ problems (correct)
  • Serving food

Organizations commonly face both drivers and barriers in adopting AI.

True (A)

What are the three main categories of AI use cases mentioned in organizations?

Automation, Analysis, Services to customers

The layers of a neural network that lie between the input and output layers are known as _______.

<p>hidden layers</p> Signup and view all the answers

Match the following sectors with their respective AI use cases:

<p>Healthcare = Solving patients’ problems Heavy industry = Robot automation Finance = Data analysis and prediction Customer service = Automated responses and support</p> Signup and view all the answers

What is one of the key benefits of GenAI for internal operations?

<p>Empowerment for data-driven decisions (C)</p> Signup and view all the answers

GenAI improves customer experience through personalization.

<p>True (A)</p> Signup and view all the answers

What technology is suggested for analyzing call center data?

<p>Azure OpenAI Service</p> Signup and view all the answers

GenAI streamlines internal workflows and improves communication, enabling employees to make __________ decisions.

<p>data-driven</p> Signup and view all the answers

Match the following aspects of GenAI with their corresponding benefits:

<p>Internal Operations = Improved communication Customer Experience = Personalization Process Efficiency = Streamlined e-commerce workflows Data Analysis = Enhanced decision-making</p> Signup and view all the answers

What significant trend is mentioned regarding the education market?

<p>It is growing. (B)</p> Signup and view all the answers

The line between real and realistic is becoming clearer.

<p>False (B)</p> Signup and view all the answers

What capability is being explored in the context of digital transformation?

<p>GenAI capability</p> Signup and view all the answers

The increasing speed of adoption is described as __________.

<p>unprecedented</p> Signup and view all the answers

Match the terms with their descriptions:

<p>GenAI = A type of artificial intelligence that generates content Digital artefacts = Online tools and resources produced in a digital format Education market = The sector focused on learning and teaching methods Change management = Strategies to help organizations transition smoothly</p> Signup and view all the answers

Which of the following is an example of a structured process?

<p>Report generation (C)</p> Signup and view all the answers

Emergent processes follow a routine approach with predefined criteria.

<p>False (B)</p> Signup and view all the answers

What is a key benefit of using GenAI in structured processes?

<p>Improved accuracy and consistency</p> Signup and view all the answers

GenAI automates __________ tasks, reducing human workload.

<p>repetitive</p> Signup and view all the answers

Match the following processes with their classification (Structured or Emergent):

<p>Logo generation = Structured Data analysis = Emergent Low complex coding activity = Structured Art work = Emergent</p> Signup and view all the answers

Which statement is true regarding structured and emergent processes?

<p>Structured processes have a known sequence of steps. (D)</p> Signup and view all the answers

Structured processes can vary each time they are executed.

<p>False (B)</p> Signup and view all the answers

What is an example of an emergent process?

<p>Product design or Brainstorming ideas</p> Signup and view all the answers

Which of the following best defines Artificial Intelligence (AI)?

<p>The simulation of human intelligence by machines (D)</p> Signup and view all the answers

A rational agent in AI operates autonomously without any need for input from the environment.

<p>False (B)</p> Signup and view all the answers

What is the primary difference between Machine Learning and Deep Learning?

<p>Deep Learning is a subfield of Machine Learning.</p> Signup and view all the answers

AI is mainly concerned with __________ action.

<p>rational</p> Signup and view all the answers

Which of the following statements is true about thinking processes in AI definitions?

<p>A system is intelligent if it thinks like a human being. (A)</p> Signup and view all the answers

Match the following AI concepts with their definitions:

<p>Artificial Intelligence = Simulation of human intelligence by machines Machine Learning = Subfield of AI focusing on data-driven algorithms Neural Networks = A set of algorithms modeled on the human brain Deep Learning = Subfield of Machine Learning using layered structures</p> Signup and view all the answers

What is the role of a utility function in AI?

<p>To maximize expected return (A)</p> Signup and view all the answers

An AI system's ability to solve problems is not related to its ability to act rationally.

<p>False (B)</p> Signup and view all the answers

What type of technology is primarily discussed in relation to coding?

<p>GenAI (D)</p> Signup and view all the answers

Structured processes have defined starting and ending points.

<p>True (A)</p> Signup and view all the answers

What is the purpose of social listening in the context of managing change?

<p>To gather insights and opinions from social media to inform decision-making.</p> Signup and view all the answers

Efficiency in the ______ industry can be significantly improved using GenAI.

<p>pharma</p> Signup and view all the answers

Match the following applications of GenAI with their relevant industries:

<p>GenAI for coding = Software Development GenAI in research and writing = Academia GPT for Contact Centers = Customer Service GenAI and the Cultural Creative Industry = Arts</p> Signup and view all the answers

Which of the following is a benefit of GenAI in retail?

<p>Personalized product recommendations (A)</p> Signup and view all the answers

Emergent processes are known to be routine in their approach.

<p>False (B)</p> Signup and view all the answers

What role does Google Cloud play in relation to GenAI products?

<p>Google Cloud develops and deploys new GenAI products for retailers.</p> Signup and view all the answers

GenAI has applications in both ______ and writing.

<p>research</p> Signup and view all the answers

What characterizes structured processes?

<p>They follow a known sequence each time. (D)</p> Signup and view all the answers

How does GenAI empower employees in internal operations?

<p>GenAI empowers employees to make data-driven decisions.</p> Signup and view all the answers

What is a key aspect of GenAI's role in e-commerce processes?

<p>GenAI enhances efficiency in e-commerce processes.</p> Signup and view all the answers

What technology is utilized for analyzing call center data in relation to GenAI?

<p>Azure OpenAI Service is used for analyzing call center data.</p> Signup and view all the answers

What significant change occurs in customer experience due to GenAI?

<p>GenAI personalizes customer experience.</p> Signup and view all the answers

How does GenAI affect communication within an organization?

<p>GenAI facilitates improved communication and knowledge sharing.</p> Signup and view all the answers

How has the speed of adoption impacted the education market in recent years?

<p>The speed of adoption has led to significant growth in the education market, pushing for innovative digital solutions.</p> Signup and view all the answers

What does the blurring line between real and realistic imply for digital transformations?

<p>It suggests that new technologies are making it increasingly difficult to distinguish between genuine experiences and digitally created ones.</p> Signup and view all the answers

What potential capability is being explored in the context of GenAI?

<p>Organizations are exploring how to harness GenAI capability to optimize processes and create value.</p> Signup and view all the answers

In what way can digital artifacts contribute to organizational change?

<p>Digital artifacts can serve as tools or representations of information that facilitate understanding and communication during transformation.</p> Signup and view all the answers

What overall trend can be observed regarding technology adoption across sectors?

<p>There is an unprecedented speed of adoption across multiple sectors, indicating a shift towards greater reliance on technology.</p> Signup and view all the answers

What is Artificial Intelligence (AI) primarily focused on in terms of functionality?

<p>AI is primarily focused on the simulation of human intelligence and the ability to solve problems.</p> Signup and view all the answers

How is Generative AI impacting the adoption of Artificial Intelligence in organizations?

<p>Generative AI has increased the adoption of AI by providing innovative solutions and enhancing existing processes.</p> Signup and view all the answers

What do systems that act rationally in AI aim to achieve?

<p>Systems that act rationally aim to explain and emulate intelligent behavior through computational processes.</p> Signup and view all the answers

In the context of digital transformation, what capabilities are organizations expected to exploit through Generative AI?

<p>Organizations are expected to exploit Generative AI for enhanced decision-making, automation of tasks, and improved customer experience.</p> Signup and view all the answers

What is one definition of AI that focuses on its ability to act like humans?

<p>AI can be defined as the art of creating machines that perform functions requiring intelligence, akin to human actions.</p> Signup and view all the answers

What distinguishes structured processes from emergent processes in the context of AI applications?

<p>Structured processes have defined starting and ending points, whereas emergent processes are more dynamic and can vary with execution.</p> Signup and view all the answers

What role does decision-making play in the impact of AI on organizations?

<p>AI enhances decision-making by providing data-driven insights and solutions that improve overall organizational efficiency.</p> Signup and view all the answers

How does AI influence problem-solving capabilities within organizations?

<p>AI enhances problem-solving capabilities by automating processes and providing advanced analytical tools.</p> Signup and view all the answers

What benefits does GenAI provide in automating tasks?

<p>GenAI reduces human workload and associated costs while improving accuracy and consistency by eliminating human error.</p> Signup and view all the answers

How does GenAI enhance customer experience through personalization?

<p>GenAI personalizes content and experiences for customers, thereby improving marketing effectiveness and developing innovative products.</p> Signup and view all the answers

In what way does GenAI enable more flexible problem-solving?

<p>GenAI fosters innovation by exploring vast creative spaces and complex datasets, enabling a flexible approach to problem-solving.</p> Signup and view all the answers

What types of external targets can GenAI be applied to in marketing?

<p>GenAI can be applied to product recommendations and customized marketing posts for different target audiences.</p> Signup and view all the answers

What role does GenAI play in financial reporting?

<p>GenAI automates the generation of financial reports, improving accuracy and efficiency in data handling.</p> Signup and view all the answers

Explain how GenAI contributes to internal supportive processes.

<p>GenAI enhances internal processes such as meeting notes and personalized training material generation.</p> Signup and view all the answers

Describe the importance of accuracy in using GenAI for repetitive tasks.

<p>Accuracy is critical as GenAI removes human error in repetitive tasks, leading to better outcomes.</p> Signup and view all the answers

What is one possible internal supportive use of GenAI in an organization?

<p>GenAI can be used to create personalized training material for employees.</p> Signup and view all the answers

What is the key feature that distinguishes structured processes from emergent processes?

<p>Structured processes have well-defined inputs and outputs, while emergent processes are guided by knowledge that emerges during execution.</p> Signup and view all the answers

How does GenAI enhance the efficiency of structured processes?

<p>GenAI automates repetitive tasks, thereby reducing human workload and associated costs.</p> Signup and view all the answers

Provide an example of an emergent process used in business.

<p>Brainstorming ideas is an example of an emergent process.</p> Signup and view all the answers

What role does human error play in the context of structured processes and GenAI?

<p>GenAI improves accuracy and consistency by removing human error in structured processes.</p> Signup and view all the answers

Why are structured processes considered more predictable than emergent processes?

<p>Structured processes follow a known sequence of steps each time, making them more predictable.</p> Signup and view all the answers

In what ways can GenAI contribute to the execution of emergent processes?

<p>GenAI can assist in data analysis based on insights that arise during the process execution.</p> Signup and view all the answers

What benefits can organizations derive from differentiating between structured and emergent processes?

<p>Organizations can optimize operations by applying appropriate techniques for process automation and management.</p> Signup and view all the answers

What is a critical characteristic of the knowledge involved in emergent processes?

<p>The knowledge in emergent processes is non-routine and develops during the execution of the process.</p> Signup and view all the answers

What distinguishes a deep learning algorithm from a basic neural network?

<p>A deep learning algorithm must have more than three layers of nodes.</p> Signup and view all the answers

How does machine learning differ from traditional programming?

<p>Machine learning can learn from data without being explicitly programmed.</p> Signup and view all the answers

What is the primary goal of supervised learning in machine learning?

<p>The goal is to learn a general rule that maps inputs to the correct outputs based on provided data.</p> Signup and view all the answers

What is a key characteristic of unsupervised learning?

<p>In unsupervised learning, the algorithm discovers patterns in the input data without guidance.</p> Signup and view all the answers

Explain the concept of reinforcement learning.

<p>Reinforcement learning involves an algorithm receiving feedback through rewards to achieve a goal.</p> Signup and view all the answers

In what way do neural networks mimic the human brain?

<p>Neural networks reflect the behavior of the human brain by recognizing patterns through interconnected nodes.</p> Signup and view all the answers

What are artificial neural networks also known as?

<p>Artificial neural networks are also referred to as simulated neural networks (SNN).</p> Signup and view all the answers

Why are biological learning systems considered complex?

<p>They consist of intricate webs of interconnected neurons that process information simultaneously.</p> Signup and view all the answers

Flashcards

AI

Artificial intelligence is the simulation of human intelligence processes by machines. It focuses on rational action and achieving the best possible outcome.

Rational Agent

A rational agent is a system that acts to achieve the best possible result, maximizing its expected return.

Agent

An agent is something that acts. In AI, it's a computer program that acts autonomously, perceives its environment, and adapts to change.

Machine Learning (ML)

Machine learning is a branch of AI that focuses on enabling computers to learn without explicit programming.

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Deep Learning (DL)

Deep learning is a subset of machine learning, relying on artificial neural networks with multiple layers.

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Rational Behavior

Rational behavior in AI is acting in a way that is expected to maximize the outcome or return.

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Utility Function

A utility function in AI is a tool for estimating or representing the value of different outcomes.

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AI vs ML vs NN vs DL

AI encompasses broader concepts about machine intelligence. ML is a subset of AI focused on letting computers learn. Neural Networks are computing structures inspired by the human brain. DL is a specific type of ML based on deep neural networks.

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Digital transformation speed

The rapid adoption of digital technologies and practices.

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Growing education

Increased demand for education services.

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Blurring reality

The lines between real and simulated experiences become less distinct.

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GenAI capability

The potential ability of new generation artificial intelligence.

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Digital Artefacts

Digital objects or creations.

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Neural Networks

Neural networks use input and output neurons, with hidden layers in between.

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AI in Organizations

AI is used in organizations for tasks like automation, analysis, and customer service.

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AI Adoption Drivers

Factors that encourage organizations to use AI.

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AI Barriers

Challenges that prevent organizations from adopting AI.

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AI Use Cases

Specific ways AI is used in various industries.

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Structured Process

A process with well-defined inputs, outputs, and steps. Each execution follows the same sequence.

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Emergent Process

A process where execution is guided by knowledge acquired during the process instance. The steps are not pre-defined, and the process can adapt.

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GenAI for Structured Tasks

Generative AI can automate repetitive tasks in structured processes, reducing human workload and improving accuracy.

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GenAI for Emergent Tasks

Generative AI assists with creative activities and exploration in emergent processes.

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Examples of Structured Processes

Processes with defined inputs, outputs, and steps like generating logos, reports, or text editing.

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Examples of Emergent Processes

Processes where the direction is not fixed, such as brainstorming, data analysis without predefined criteria, or product design.

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GenAI Efficiency

Generative AI can enhance efficiency by automating repetitive tasks in structured processes, reducing human effort and costs.

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GenAI Accuracy

Generative AI can increase accuracy in structured processes by eliminating human errors.

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GenAI in Internal Operations

Generative AI (GenAI) can greatly improve internal operations by streamlining workflows, enhancing communication and knowledge sharing, and empowering employees to make informed decisions based on data.

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GenAI's Impact on Customer Experience

GenAI can personalize the customer experience by optimizing product design, improving customer support, and enhancing the overall interaction with a company.

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Structured vs. Emergent AI

Structured AI involves pre-programmed actions and predictable outcomes, while Emergent AI evolves and learns over time, adapting to new information and situations.

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GenAI in Contact Centers

GenAI can revolutionize contact centers by extracting and analyzing call center data to understand customer issues, predict trends, and optimize support processes.

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Drivers of Digital Transformation

Digital transformation is propelled by factors like technological advancements (e.g., AI), evolving consumer behaviors, and growing competition. These drivers push organizations to adopt new technologies and strategies.

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GenAI for Coding?

Generative AI (GenAI) can be used to help write and improve code by generating code snippets, suggesting solutions, and even writing entire programs.

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GenAI in Research and Writing?

GenAI can be used in research and writing tasks by summarizing large amounts of text, generating citations, and creating drafts of papers.

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Social Listening

Social listening involves monitoring online conversations to gain insights into public sentiment, brand perception, and customer behavior.

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Efficiency in E-Commerce

GenAI tools like eBay's photo-to-listing feature make online selling faster and easier by automatically creating product listings from images.

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Efficiency in the Pharma Industry

GenAI speeds up drug discovery and development processes by analyzing data, predicting interactions, and identifying potential drug targets.

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GenAI for Retailers

GenAI is used by retailers to personalize shopping experiences, provide targeted recommendations, and optimize inventory management.

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GenAI with 'Character'

GenAI can be used to create digital characters with personalities, interactions, and even emotional responses.

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GenAI and the Cultural Creative Industry

GenAI is transforming the cultural creative industry by enabling new forms of art, interactive experiences, and even virtual exhibitions.

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Benefits of GenAI

GenAI offers benefits such as increased efficiency, improved decision-making, enhanced customer experiences, and new creative possibilities.

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What is AI?

AI is the simulation of human intelligence by machines. It focuses on solving problems rationally and acting like humans.

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What are the goals of AI?

AI aims to create systems that think or act like humans, and/or systems that think and act rationally.

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Generative AI

Generative AI creates new content, like text, images, or code, based on patterns it learns from existing data.

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Impact of AI on Organizations

AI can automate tasks, analyze data for better decisions, and improve customer interactions within organizations.

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Structured vs. Emergent Processes

Structured processes have predefined steps, while emergent processes adapt and learn as they run.

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Benefits of GenAI for Organizations

Generative AI can drastically improve efficiency, knowledge sharing, customer experiences, and even create new business models for organizations.

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Deep Learning

A subset of Machine Learning that uses neural networks with multiple layers to analyze and process information.

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Supervised Learning

AI training where the software learns from labeled data, with correct answers given for each example.

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Unsupervised Learning

AI training where software discovers patterns without being given correct answers.

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Reinforcement Learning

AI training where the software receives feedback (rewards) in a dynamic environment, guiding its learning and goal-seeking.

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Artificial Neural Networks (ANN)

A type of neural network that simulates the behavior of the human brain, used for pattern recognition and AI problem-solving.

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Simulated Neural Networks (SNN)

Another term for Artificial Neural Networks, emphasizing their simulation of biological neural systems.

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Biological Learning Systems

Complex networks of interconnected neurons in living organisms, capable of information processing through parallel processes.

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Speed of Adoption

Digital technologies are being integrated at an unprecedented rate, meaning they are being used and accepted by people and businesses much faster than before.

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Exploiting GenAI

This means finding ways to utilize the power of GenAI to benefit organisations and individuals. This could involve using it for creative tasks, automating processes, or improving decision-making.

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GenAI for Internal Ops

Generative AI can significantly uplift internal operations by streamlining workflows, improving communication and knowledge sharing, and empowering employees to make data-driven decisions.

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Study Notes

Week 5: Drivers of Digital Transformation

  • Artificial Intelligence (AI) and Generative AI: The presentation discusses the nature of AI and generative AI, outlining how AI impacts organizations and how organizations can leverage generative AI.

  • AI Adoption Increase: AI adoption worldwide has increased dramatically in recent years, especially driven by Generative AI.

  • Generative AI Impact on Al Adoption: Organizations increasingly use AI in at least one business function. The adoption rate for use of generative AI in 2023 was 33% compared to general AI adoption rate of 72%.

  • Financial Commitment to AI: The financial commitment to implementing AI has increased significantly. In 2018, fewer than 40% of those applying AI allocated more than 5% of their budget to AI; by 2023, that number increased to 52%.

What is AI?

  • AI is the simulation of human intelligence by machines.
  • AI is the ability to solve problems.
  • AI can act rationally (logically).
  • AI is about acting like humans.

Definitions of AI

  • Systems that think like humans: The presentation defines AI as the "simulation of human intelligence by machines".
  • Systems that act like humans: The ability to create intelligent machines that mimic human functions.
  • Systems that think rationally: AI is concerned with the computations involved in reasoning and perception.

The Current Perspective: Rational Agent

  • An agent is something that acts.
  • A rational agent seeks the best outcome, which is to do the right thing and maximise the expected return.
  • Utility function required for a rational agent.

AI Lexicon

  • AI mainly focuses on rational action, using data and models for optimal results.
  • Important distinctions in AI include AI vs. Machine Learning (ML) vs. Neural Networks (NN) vs. Deep Learning (DL).

AI, ML, NN, DL

  • Machine Learning (ML) is part of Artificial Intelligence.
  • Deep learning is part of machine learning.
  • Neural networks form the basis of deep learning algorithms.
  • A deep learning algorithm usually has more than three layers of neural networks.

Forms of Learning

  • Supervised learning: Training software on input/output data to establish rules.
  • Unsupervised learning: Software discovers patterns or structures in inputs without guidance.
  • Reinforcement learning: Software learns through feedback (rewards) in a dynamic environment.

Neural Networks

  • Neural networks help reflect the behavior of the human brain, helping computers identify patterns for problem-solving in AI.

  • Known as Artificial Neural Networks (ANN) or Simulated Neural Networks (SNN).

  • Neural Networks inputs and outputs are neurons, while hidden layers connect them.

How organizations are using AI

  • Key factors driving AI adoption by businesses include advancements in accessibility, cost reduction, and automation.

Drivers & Barriers to AI adoption

  • Many issues identified by professionals regarding AI adoption include having limited skills, expertise or knowledge of AI, lack of tools/platforms for developing AI models, the high price of AI, too much data complexity, ethical concerns, and not having a holistic AI strategy.

AI Use Cases in Organizations (Examples)

  • AI use cases span many industries (Healthcare, Heavy Industry, Finance, Aviation, Education).
  • Examples include solving patient problems, automating repetitive tasks in manufacturing, and providing financial market analysis.

AI for Good (Examples)

  • Analysing satellite imagery to identify areas of high poverty.

AI Use Cases in Organizations

  • AI use cases include areas like healthcare, heavy industry, finance, aviation, and education.
  • Detailed examples include solving patients' problems, automating repetitive tasks, algorithmic trading, and educational support through robotic platforms.

What is behind AI?

  • The presentation discusses the development of AI and identifies the foundation models as LLM and unsupervised algorithms that form the basis for more sophisticated AI systems/tools/products.

How we arrived here

  • The presentation explains the process of developing generative AI through a series of progressive steps culminating in the use of unsupervised and foundation models as a base.

A framework to analyse the benefits of Generative AI

  • Presents a framework for evaluating the benefits of GenAI, taking into account the structured and emergent stages of process.

How can we exploit generative AI capability?

  • Discusses ways and examples for organisations to use generative AI (GenAI).

  • A platform, called Looka, was given as an example.

GenAI for Coding

  • A presentation example using code generation and the tool Gemini.

GenAI in Research & Writing

  • Generation of content using AI, suggesting impact on research and writing, and discussions on how it relates to the cultural industry.

Social Listening

  • GenAI helps summarise data, understand context, research keywords, write queries, and support foreign languages for social listening.

Efficiency in e-Commerce

  • AI-driven tools automate listing processes, using images as inputs to generate comprehensive product listings quickly, reducing workload and time.

Efficiency in the Pharmaceutical Industry

  • AI can assist research by identifying suitable disease targets for R&D programs.

Hello, I'm the Doctor

  • AI now can provide some level of healthcare information - however, humans have an important role in healthcare advice.

GPT for Contact Centers

  • OpenAI has released a GPT Store enabling developers to create custom GPTs tailored to distinct contact center tasks, potentially improving efficiency.

Google Cloud's new GenAl products for Retailers

  • New GenAI tools for retailers focus on improving product image generation, conversational commerce, and streamlining retail operations, suggesting a significant impact in automating and personalising retailer processes.

GenAl with "character"

  • Character.Al, a conversational AI platform, enables creators to design engaging AI characters with various attributes. The platform earns revenue through subscription fees for advanced AI features, sponsored content, and partnerships.

GenAl and the Cultural Creative Industry

  • Examples include interactions with Vincent van Gogh, showcasing how AI can enhance cultural experiences.

A process perspective on GenAl

  • AI enhances both structured (e.g., report generation, text formatting) and emergent (e.g., brainstorming, data analysis) processes. Generative AI can improve efficiency and accuracy in structured tasks while providing greater flexibility and innovation for emergent tasks.

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MCDT Week 5: Drivers of Digital Transformation PDF

Description

This quiz covers the critical aspects of artificial intelligence and generative AI, with a focus on their impact on organizations and the increasing adoption rates. It highlights the financial commitment to AI implementation over recent years and discusses the fundamental concepts of AI. Test your knowledge on AI trends and definitions.

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