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ADOPTING GENERATIVE AI: TRANSFORMING YOUR WORKFLOW

Generative AI is already changing the way we do business. Learn how to harness its tools for marketing, content creation and customer service. See what the future of technology has in store for us.

Deloitte

COURSE DESCRIPTION

Want to work faster, produce professional-level marketing materials, all at the touch of a few buttons? Artificial intelligence is disrupting industries worldwide, and adopting generative AI technologies like ChatGPT is essential for maintaining competitiveness.

With this course, you will acquire a foundational understanding of generative AI, and discuss practical applications specific to the hospitality sector. Learn about the different tools available, whether for producing copy, artwork, translation or coding, as well as future applications under development.

WHO IS THIS COURSE FOR?

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MARKETING

Bring the creative work in house, with a full suite of AI applications at your fingertips.
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GUEST RELATIONS

Learn how AI can make your job easier, and service faster and more efficient.
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ENTREPRENEURS

See how AI can turbocharge your business.
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IT

Learn how to implement AI solutions throughout the customer journey.
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WHAT YOU'LL LEARN

  • The fundamentals of generative AI technology and its potential
  • Practical applications for the industries
  • Real-world cases of marketing, content generation and customer service
  • The steps and strategies required for successful adoption
  • Ethical considerations, privacy and regulatory compliance

COURSE OUTLINE

This course consists of 
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Learning hours
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Modules

Module 1: Understanding generative AI's transformative potential

  • Generative AI and its essential principles
  • How generative AI can revolutionise the way we work
  • The technology ecosystem surrounding generative AI
  • Generative AI tools
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Module 2: The basics of generative models

  • The working principles that drive various generative models

  • Different types of generative models and their typical applications

  • Neural Language Models (NLMs), Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs)

Module 3: Common and emerging applications of generative AI

  • The impact of generative AI on different industries
  • Established and emerging uses of generative AI
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Module 4: Risks and limitations of generative AI

  • An overview
  • Ethical concerns such as deepfakes, biases and transparency issues
  • The challenges surrounding generative AI and intellectual property rights

Module 5: Managing risks posed by generative AI

  • The regulatory landscape concerning ethical AI development
  • Regulatory examples
  • Best practices for effectively managing risks

Module 6: Workshop – harnessing generative AI

  • Group brainstorming and design thinking
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Experts

Benjamas Pongkasem

Benjamas Pongkasem has spent over two decades consulting for the Big Four. She specialises in Information Systems, with considerable experience implementing technology solutions for multinationals.

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Puttida Sriwong joined Deloitte Thailand after 15 years in the banking industry, with various role in strategy, and project management. Her academic background in Information Engineering and MIS makes her a natural fit for AI.

ENROLMENT CRITERIA

This course is designed for ambitious professionals from any industry. There are no prerequisites to enrol.

ENROLMENT PROCESS

To enrol, please choose your dates and and fill in your personal details. You will then receive an email with a payment link. Acceptance is contingent upon receipt of payment at least five days before the start of the course. Late enrolments may be accepted on a case-by-case basis.

DEADLINE

We must receive payment at least five days before the start of the course. Late enrollments can be accepted on a case-by-case basis.

COURSE DATE

27-28 April 2024

0
per course

Taught in Thai

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