Responsible Generative AI Strategy: In-Person Workshop

Explore the transformative potential of technologies like GPT-4 and Claude 2. These large language models (LLMs) promise to reshape how businesses operate. Aimed at non-technical professionals, this workshop offers a pragmatic approach to leveraging LLMs for tangible benefits, while ensuring ethical considerations aren’t sidelined. We will take a human-centered, responsible approach to Generative AI Strategy.

LLMs can refine processes in marketing, software development, HR, R&D, customer service, and even legal operations. But it’s essential to approach them with a balanced view. In this workshop, you’ll:

  • Learn about the rapid advancements of LLMs
  • Understand complex concepts in simple terms
  • Discover practical business applications
  • Workshop strategies for smooth integration
  • Assess the potential effects of automation on your team
  • Discuss regulation, governance and risk management
  • Delve into the ethics of deploying LLMs.

With a clear aim to inform rather than influence, this workshop is your roadmap to adopting LLMs thoughtfully, maximizing benefits, and minimizing risks.

Introduction to LLMs for Business Leaders

Your Instructor

About your instructor: Inês Almeida
Inês Almeida

Inês Almeida

Inês Almeida is the Chief Transformation Officer at Now Next Later AI. With a wealth of experience spanning over 26 years, Inês held senior positions at companies such as Thoughtworks, Salesforce, and Publicis Sapient, where she advised hundreds of executive customers on digital- and technology-enabled Business Strategy and Transformation.

She is the bestselling, award-winning author of several books including the AI guides: "Introduction to LLMs for Business Leaders: Responsible AI Strategy Beyond Fear and Hype," and "Artificial Intelligence Fundamentals for Business Leaders: Up to Date With Generative AI."

She is a regular speaker at industry events such as Gartner Symposium, SXSW, and ADAPT. Inês serves as an AI advisory member in the Adelaide Institute of Higher Education Course Advisory Committee.

Her academic qualifications include:

  • Computer Science Engineering: ISIG - Instituto Superior de Informática e Gestão
  • Executive Program in Strategy and Organization: Standford Business School
  • Company Director Course — Australian Institute of Company Directors
  • Complete AI for Business Specialization: Wharton Business School
  • AI Product Management Specialisation: Duke University
  • Generative AI with Large Language Models: DeepLearning.AI

Previous Venues

An historic New York style loft studio offering plenty of natural light. The dynamic space is perfect for a day of learning, brainstorming, and group activities.

Facilities include:

  • Wi-Fi
  • Flatscreen TV
  • Flipchart
  • Projector
  • Whiteboard
  • Air conditioning
  • Storage space
  • Paid parking facilities available nearby

Catering and Drinks

  • Kitchen facilities available for guests
  • Complimentary water
  • Complimentary tea and coffee
  • Light lunch and snacks provided (including vegetarian and gluten free options)
  • End of workshop cocktail or mocktail


Dress Code
Relaxed business casual attire. T-shirts and sneakers are fine, beachwear is not.
Laptops and Phones
Laptops and phones are allowed only during the breaks and must remain out of sight at any other times.
Cancellations and Refunds
Cancellations are accepted up to seven days before the event starts.
Intellectual Property
All materials provided, including but not limited to ebooks, course content, presentations, and documents, are the intellectual property of Now Next Later AI. You are granted a non-exclusive, non-transferable license to use these materials solely for personal, non commercial purposes.
Code of Conduct
Participants are expected to behave professionally and treat other participants and trainers with respect. Now Next Later AI reserves the right to remove any participant from a workshop if their behavior is deemed disruptive, offensive, or inappropriate. No refunds or transfers.
While we will discuss public or hypothetical scenarios in the workshop, any information shared by participants must be treated as confidential. By joining this workshop, participants commit to maintaining the confidentiality of information disclosed by their colleagues.