Beyond Chatbots: Leveraging AI for Unstructured Data Processing

Much attention has been drawn to the rise of Generative AI (GenAI) and Large Language Models (LLMs) in general. In most cases, we are presented with yet another company chatbot for utilizing these technologies.

Less attention has been given to the fact that data has also moved into another era. Data is becoming less logically tangible, no longer just stored in tables, numbers, and words, but increasingly represented through interpretations of images, sounds, and texts.

As humans, we have the ability to form analyses by combining what we see, hear, and read. We are able to take such analyses and apply them to other types of data as well.

In this session, we will explore how to transfer this ability to computers. We'll discuss the necessary architectures and AI services to process unstructured data such as images, sounds, and texts, allowing us to integrate it with our tables from more relational sources. The session will provide attendees with actionable takeaways to serve as a starting point or inspiration for their next steps.

* Recognize how unstructured sources (images, audio, text) can be turned into analyzable data * Learn architecture patterns and AI services to process images, audio, and text into usable signals * Integrate unstructured outputs with relational data and leave with practical next steps to apply it