Scott Bell
Scott is currently a principal consultant with RapidData focusing on the Azure Data Platform, Integration Engineering and Analytics.
Previously, he was a a senior consultant and UK&I Databricks SME at Avanade.
He has a master degree in Computer Science with a specialism on Secure Machine Learning in the Cloud.
He is passionate about all things data, AI, Rugby League, Beer, R and Azure
Scott Bell's Sessions
Danger in Dialogue: The Security Risks of Large Language ModelsSQLBits 2025
Discover the hidden security risks of Large Language Models and learn practical strategies to protect your organization. This session covers threat vectors, real-world examples, and actionable frameworks for secure LLM implementation.
Navigating Data Governance in the Age of Generative AISQLBits 2024
In the rapidly evolving world of data analytics, the emergence of Large Language Models (LLMs) has sparked a debate: Are LLMs signaling the end of traditional data analytics? This session delves into the heart of this question, exploring the fundamental workings of LLMs and their transformative impact on the analytics landscape. Attendees will gain insights into the advantages and potential pitfalls of integrating LLMs into their data strategies. We'll discuss the innovative use cases LLMs unlock and emphasize the paramount importance of governance and lineage in harnessing their full potential. Whether you're intrigued by the brilliance of LLMs or wary of their implications, this session will equip you with a balanced perspective to navigate the future of data analytics.
Cosmos 101SQLBits 2022
Find out everything you need to know to get started with Azure Cosmos DB in 20 minutes or less.
Is HTAP the future?SQLBits 2022
Hybrid Transactional Analytical Processing solve the age old problem of integrating operational processes with analytical capabilities within a single system. Find out what they're and how they deliver value
Navigating Data Governance in the Age of Generative AISQLBits 2024
In the rapidly evolving world of data analytics, the emergence of Large Language Models (LLMs) has sparked a debate: Are LLMs signaling the end of traditional data analytics? This session delves into the heart of this question, exploring the fundamental workings of LLMs and their transformative impact on the analytics landscape. Attendees will gain insights into the advantages and potential pitfalls of integrating LLMs into their data strategies. We'll discuss the innovative use cases LLMs unlock and emphasize the paramount importance of governance and lineage in harnessing their full potential. Whether you're intrigued by the brilliance of LLMs or wary of their implications, this session will equip you with a balanced perspective to navigate the future of data analytics.
Cosmos 101SQLBits 2022
Find out everything you need to know to get started with Azure Cosmos DB in 20 minutes or less.
Is HTAP the future?SQLBits 2022
Hybrid Transactional Analytical Processing solve the age old problem of integrating operational processes with analytical capabilities within a single system. Find out what they're and how they deliver value