Monday Oct 23
10:40 –
Breakout room 2

Generative AI in the Enterprise

Artificial intelligence (AI) is reshaping numerous industries, and one of the most impactful developments in this landscape has been the rise of generative AI systems such as ChatGPT. Powered by a unique blend of machine learning and natural language processing capabilities, Large language Models have emerged as a transformative technology that has redefined the realm of human-computer interaction. This session aims to offer a functional review of potential applications and generative AI’s role in empowering users in their professional lives.

We will navigate how generative AI can be deployed, demonstrating its potential across sectors such as customer service, healthcare, and content creation. Participants will gain insights into how this technology can be tailored to meet individual requirements, thereby enhancing efficiency, productivity, and decision-making capabilities.

We will also discuss the concerns to keep in mind when integrating ChatGPT into workflows and products. We will address ethical considerations, data privacy, and model training limitations to ensure you make informed decisions that align with your specific needs and values.

The session will be broken into five parts.

Part 1: Introduction to LLMs Part 2: Core business use cases Part 3: Development teams and skills Part 4: Enterprise integration Part 5: Limitations, risks and liabilities

We will end the session with next steps and a general discussion as time allows.

This session offers a functional understanding of the business uses of LLMs, how to bring them into the enterprise, and how to avoid possible pitfalls. Our goal is to ensure participants walk away with a solid grasp of this game-changing technology and a clear vision of how you can leverage it to stay at the forefront of the digital revolution.

The audience for this session includes:

C-level executives, division presidents and vice presidents developing strategic initiatives for generative AI. Senior managers exploring potential applications of generative AI within their organizations. Sales and product managers and customer experience professionals who want to learn how to leverage generative AI to create new products. Technologists who are looking for connections between the emerging technologies of generative AI with business strategies.

artificial intelligence (AI)
generative AI
machine learning (ML)