AI for Business

The AI concept is a brief introductory session that provides an overview of the concept of Artificial Intelligence, understanding that AI is no 'just a tool', and differences between concepts such as Machine Learning and Deep Learning. An application in a game-changing industry such as health will help understand the basics of machine learning, representation learning and deep learning, exploring how AI can be used to create value in businesses and the ethical considerations of implementation, governance and monitoring for correct otucomes

The History of AI session traces the development of Artificial Intelligence from its origins to the present day. It covers the major milestones in AI from Alan Turing and professors McCarthy and Minsk,  to the 5th generation computer. It discusses the AI fever effect we're living today and what can we learn from the past to understand the present hype pace of developments

The Representation Learning session focuses on how to automatically learn representations of data for AI systems to use. It covers the basics of deep learning, including neural networks and statistical regression, and explores how these techniques can be used to learn meaningful representations of data for various applications. It also discusses the importance of learning the difference between probabilistic and deterministic models

The Governance session covers the ethical, legal, and social implications of AI adoption in business and society. It explores issues such as bias, fairness, accountability, and transparency in various business cases, and reflects upon the development of responsible AI strategies and policies

The AI Value - Chatbot Case session explores how AI can create value for businesses taking into consideration the use of chatbots. It covers the benefits of chatbots for customer service, sales, and marketing, and provides strategic guidance on chatbot deployment, exploring the risks and limitations in AI value

The Human role session addresses the role of humans in the development and adoption of AI systems. It covers the importance of human-centered AI design, the skills and roles needed for successful AI projects and explores how humans can collaborate with AI systems to augment and enhance their capabilities

Following the Human role session, this session further explores the concepts learned by addressing the case study on Disney's implementation of MyMagic+

Following the Human role session, this session further explores the concepts learned by addressing the case study on Disney's implementation of MyMagic+

The Customer Journey session focuses on how AI can be used to enhance the customer experience across different touchpoints. It covers the basics of customer journey mapping, and explores how AI techniques in predictive analytics, personalisation, and customer service can be used to create personalised, seamless, and engaging customer journeys, exploring the case of Sungevity

Following the Customer Journey session, we will explore the successful case of L'Oreal in augmenting customer experience

The NLP Marketing session explores how Natural Language Processing (NLP) can be used to enhance marketing strategies. It covers the basics of NLP, its present limitations, and explores how NLP techniques can be used to analyse customer feedback, generating identity graphs, identify trends, gain brand recognition awareness and create personalized marketing strategies with the use of embedding learning, comparing trends and competitors with real-case examples in fast fashion

The Humanising AI session focuses on how to make AI systems more human-like and empathetic, the resistance of AI system implementation and limitations in building trust. It also discusses the generational aspect of influence when trusting AI systems and a recent research on the 'Uniqueness Neglect' effect on customers

The Software as a Service (SaaS) session focuses on the development of AI-powered applications as a service exploring the influence of big tech giants in the effect of customers and how business are going to adapt from traditional customer relationships to SaaS. How customer retention rate and customer lifetime value will be affected and the consumer preferences locked in inertia

The Beyond Chatbots session explores advanced AI techniques beyond chatbots that can be used to enhance customer experience. It covers AI techniques used in Google Duplex with speech recognition, virtual assistants, and recommendation systems, and how Google has created more engaging and personalised customer experiences. The session also covers the concept of Dark Web, the problems with extracting and managing information without taking privacy into consideration

The Present AI Tools session provides an overview of the latest AI tools and platforms available in the market. It covers tools such as ChatGPT, MidJourney, Copilot, and Adept, and how to leverage upon these tools for your business

The Present AI Tools session provides an overview of the latest AI tools and platforms available in the market. It covers tools such as ChatGPT, MidJourney, Copilot, and Adept, and how to leverage upon these tools for your business

The Future of AI session explores emerging AI tools and technologies and their potential impact on businesses and society. It covers the latest advancements in AI in major industries such as Supply Chain and Marketing and provides insights into how these technologies can be used to create more value for businesses. The session also addresses potential ethical and social implications of these emerging AI tools

The Future of AI session explores emerging AI tools and technologies and their potential impact on businesses and society. It covers the latest advancements in AI in major industries such as Supply Chain and Marketing and provides insights into how these technologies can be used to create more value for businesses. The session also addresses potential ethical and social implications of these emerging AI tools

The Multidimensional Analysis session focuses on how to use this novel technology to extract meaningful insights and patterns from large and diverse data sets. The sessions includes examples on implementations of multidimensional analysis