In this keynote, we will explore the process of unifying domain knowledge for future AI models. Artificial Intelligence is a rapidly changing space in technology with new advancements happening regularly, this introduces new risks and new benefits for the world.
In order to be prepared for the models of the future, how we store, manage, and label data matters now more than ever ;
Public Sector and large enterprises traditionally have large amounts of digital infrastructure where important information is stored across many different systems.
In the past, human operators worked across various systems to gain situational awareness.
In the future, operators will map information traditionally held in silos into knowledge graphs which represent the interconnected domain knowledge across an agency or organization.
We will explore how to efficiently and safely model domain knowledge in a manner which prepares us all today for large AI models of the future.