The event focused on the importance of data sovereignty and security, and the critical need to link AI initiatives to business problems. Key points included:

• Data Sovereignty and Security: Emphasised the importance of maintaining control over data and ensuring its security. Without addressing these aspects, AI initiatives may face significant challenges.

• Business Problem Linkages and Enhancement of Existing Efforts: Highlighted the necessity of linking AI initiatives to specific business problems. Without a clear business problem, AI efforts may be pointless and lack direction. Stressed the importance of building on current initiatives and enhancing them further rather than starting from scratch.

• Usefulness of AI vs. Written Word and Bias in LLMs: Discussed whether AI has less usefulness compared to the written word, noting that AI's usefulness may have a shorter half-life compared to written notes by humans. Acknowledged the inherent bias in large language models (LLMs) and questioned the trustworthiness of AI outputs.