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ChatGPT and Generative AI for Business Innovation

Dates Venues Register
02/08/2026 - 06/08/2026 KUALA LUMPUR

Introduction

ChatGPT and Generative AI for Business Innovation

 

 

Course Objectives:

By the end of this ChatGPT and Generative AI for Business Innovation Training Course, participants will:

  • Master the core principles and capabilities of ChatGPT and generative AI technologies
  • Identify opportunities where AI can drive business innovation and enhance performance
  • Implement AI-driven strategies for improved customer engagement, efficiency, and productivity
  • Leverage AI tools for content creation, marketing, product development, and decision-making
  • Navigate ethical considerations and manage risks such as data privacy and AI bias
  • Utilize AI for competitive advantage by fostering creativity and innovation in business models

Who Should Attend?

  • Business leaders and managers looking to adopt AI in their innovation strategies
  • Marketing and customer experience specialists aiming to enhance AI-driven customer engagement
  • Product managers and developers seeking AI-driven tools for product ideation and design
  • IT professionals and data analysts wanting to implement generative AI solutions across business functions
  • Entrepreneurs looking to use AI to develop groundbreaking business models and stay ahead of the competition

 

The Course Outline:

Day 1

Introduction to Generative AI and ChatGPT

  • Overview of generative AI and its evolution
  • Understanding ChatGPT: Key features, capabilities, and applications
  • Real-world case studies of AI-driven business innovation
  • Hands-on session: Exploring ChatGPT in business scenarios
Day 2

Generative AI in Business Operations

  • Enhancing productivity with AI: Workflow automation and task optimization
  • Leveraging AI for data analysis and decision-making
  • AI tools for internal and external communication
  • Workshop: Designing AI workflows for operational efficiency
Day 3

Driving Customer Engagement and Experience with AI

  • Personalization and customer insights through generative AI
  • Chatbots and virtual assistants for customer service excellence
  • Building brand loyalty with AI-driven marketing strategies
  • Group activity: Creating customer-centric AI solutions
Day 4

AI-Powered Innovation and Product Development

  • Generative AI for ideation and prototyping
  • Content creation: AI in marketing, design, and storytelling
  • Exploring new business models enabled by AI
  • Hands-on exercise: Developing an AI-driven product concept
Day 5

Ethics, Risks, and Future Trends in AI

  • Addressing ethical challenges: Bias, transparency, and accountability
  • Managing risks: Data privacy, security, and compliance
  • Emerging trends in generative AI and their implications for businesses
  • Final project: Presenting an AI innovation plan for a business scenario

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