To lead in today’s rapidly evolving business and technological landscape, executives and decision-makers must learn how to effectively leverage the AI product development process to make use of their own proprietary data. In this way, they can improve the customer experience of their products and services, increase efficiency throughout the enterprise, and create more value for their company and its stakeholders.

Join this interactive (and hype-free!) workshop to learn:

• The underlying principles of Machine Learning technology, including Generative AI and Large Language Models, that will help you make good business decisions
• The core components of the AI product development lifecycle, including what aspects are markedly different when it comes to building Generative AI technologies (like LLMs) into your products
• Best practices for getting buy-in, building momentum, and managing change and expectations of the AI revolution in real-time with a balance of both optimism and caution
• How to choose to “build or buy” when it comes to hiring ML engineering, prompt engineering, and other high-value talents versus leveraging automagical AI platforms

By the end of the workshop, you will:

• Understand how to identify the most crucial AI pilot projects for your organization and how to develop your pipeline
• Equip yourself with strategies to effectively educate your workforce and leadership on AI
• Have a practical set of tools and frameworks to champion AI initiatives within your organization and gain a competitive advantage in your industry

Greg Loughnane

Founder & CEO
AI Makerspace

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This interactive workshop will educate and inspire attendees to learn how to identify, validate, and implement use cases for generative AI within the enterprise. Discover practically how to leverage the power of generative AI to smartly, selectively and plausibly drive growth and innovation in your organization.

·       Learn how to identify opportunities for leveraging generative AI in your business

·       Develop strategies for validating the potential value of use cases for generative AI

·       Explore practical examples of successful cross-industry use cases

·       Gain insights into best practices for implementing generative AI use cases in your organization, including data privacy and company ownership concerns

·       Discuss measuring the success of generative AI applications and refining your strategies over time

By attending this workshop, you will leave with a clear understanding of how to identify and validate use cases for generative AI within your business, as well as practical strategies for implementing these use cases to drive growth and innovation.

Matt Kurleto

Founder & CEO
Neoteric

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This workshop will introduce attendees to the key concepts and techniques of prompt engineering, which is the practice of crafting effective language guidance to improve the performance of AI models. By attending this workshop, you will gain a deep understanding of the importance of prompt engineering and learn how to design and implement effective prompts to optimize your AI models. Specifically, attendees will:

· Understand the basics of prompt engineering and its role in building better AI models

· Learn best practices for crafting high-quality prompts that can guide your models towards better performance

· Gain hands-on experience designing and implementing effective prompts for a variety of AI applications

· Explore advanced techniques for optimizing prompts to improve model accuracy and efficiency

· Get expert advice and feedback on their prompt engineering skills and techniques from experienced practitioners in the field.

By the end of this workshop, you will be equipped with the skills and knowledge to design and implement effective prompts for your AI models, and to drive better results

Sander Schulhoff

Co-Founder
Learn Prompting

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