Unlocking the Power of Private Data in the Age of AI: Opportunities, Risks, and Ethics | Presented By Guy Holmes

10am – 10.30am AWST, 31 July 2025 ‐ 30 mins

Presented By Guy Holmes

Amid privacy concerns and the extensive new capabilities of generative AI, records management professionals are skeptical of how their own data can be used to train AI on their specific company data assets in a secure and private fashion. An area of generative AI called Large Language Models (LLM’s) are the underbelly of most generative AI models. These models have been fed everything they can find from the internet, social media, videos, and images. But research has shown that AI is soon to run out of data to learn from, and the AI industry is resorting to the use of synthetic data to continue to train their models.

At the same time, every major company in the world are sitting on their own private data assets that AI has never had access to. This data is your private gold mine as it contains all of the details that are very specific to your company and industry. The data can be used to create value for your organisation in ways never envisaged. In many cases, historical data can also be monetised so that data assets become a value generator, not a cost centre.

This talk aims to discuss the changing AI landscape and how your business can benefit from it, and what to be cautious about, including AI ethics.