SQLBits 2026
Beyond Chatbots: Leveraging AI for Unstructured Data Processing
A practical session on going beyond chatbots: using modern AI architectures and services to turn unstructured data (images, audio, text) into usable insights and integrate it with relational data, with actionable next steps to get started.
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.
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.
Speakers
Christian Henrik Reich's other proposed sessions for 2026
Adapting to Fabric: A SQL Server Practitioner’s Path Forward - 2026
An Apache Spark query's journey through the layers of Microsoft Fabric - 2026