While the hype around Generative AI means the business community is now aware of the technology, many people are still relative beginners to generative AI as it is a relatively new and rapidly evolving field with complex concepts and a variety of technical approaches. With that in mind, this workshop will explore the underlying principles of generative AI models and learn how to design and implement them for a variety of applications.

Participants in this workshop will:

● Understand potential applications - get to know the broad spectrum of Generative AI applications and possibilities e.g. 3D object generation, interactive image generation, and text generation

● Gain an overview of the current technology landscape – understand the tools you can leverage immediately

● Identify the best use cases for Generative AI – learn where you can apply the technology to best effect

● Discuss how to Improve datasets and models – understand the data requirements and how yours can be augmented to best effect

● Discussing how AI is reshaping the manufacturing landscape for improved productivity and efficiency

● Automating processes and using intelligent devices capable of learning independently to solve complex problems

● Predictive maintenance and quality control systems powered by AI to minimize downtime and increase productivity

● How has architecture evolved in response to smart manufacturing requirements

• How would you describe your digital transformation approach (more data or end to end workflows )
• How much time, effort and resources are you spending in data contextualization vs transforming the way you work?
• How much of your data contextualization effort/work is favorably impacting the connected worker?
• What if you would tackle the manageable, focus of functional silos, freeing minds from routine tasks so we can now innovate?

● How do I articulate the benefit of what I am doing and make it meaningful to my organization?

● What strategies do I use to engage end users in the process of selecting and implementing a digital solution?

● How do you strike a balance between investing in a tool that your end user prefers to one that is more suitable from an enterprise perspective?