Brynn Borton

As the Avanade UKI Data Platform Director, Brynn stands at the forefront of Azure Data Platforms, boasting over 20 years of experience. Originally starting his journey as an Enterprise Architect, he shifted his focus to Data and AI about 13 years ago. He's closely observed the growth and transformation of Azure Data Platforms right from its infancy, even before the advent of Data Factory V1 and Azure Data Warehouse Gen1. Brynn’s expertise is evident in the reference architectures he's been instrumental in developing at both Altius and Avanade over the past decade. Through his partnerships with Microsoft and Databricks, Brynn has consistently been at the cutting edge of technology, underscoring his deep-seated passion for innovation. Recently, he's become slightly unhealthily obsessed with two new toys; Microsoft Fabric, and OpenAI. With a firm conviction that these technologies are set to revolutionise the way organisations approach data, his enthusiasm is both infectious and evident. Brynn's commitment to sharing knowledge isn't new; he's graced platforms like SQLBits in the past, shedding light on topics like CosmosDB and Databricks. Though he took a brief sabbatical due to the demands that come with young children, Brynn feels he's earned his wings once more. Having spent recent months deeply entrenched in Fabric and GenAI discussions with clients, he's poised and ready to impart his knowledge and fresh perspectives to the SQLBits community. Join him for a session where profound expertise intertwines with real-world application.

Brynn Borton's Sessions

Navigating the Skies of Open AI: Perfect Your Grounding for a Smooth LandingSQLBits 2024

Explore the evolution of knowledge consumption with ChatGPT in this insightful session. We'll dive into the importance of "grounding" in Large Language Model (LLM) applications and introduce you to the emerging world of vector databases. While delving into OpenAI's technology, participants will gain an understanding of vector embeddings, scalability challenges, and efficient data retrieval methods. Designed for data scientists, engineers, and decision-makers, this Level 300 session offers a balanced overview for both technical and non-technical attendees.