22-25 April 2026 
SQLBits 2020
Ethics and Bias in data science
How to understand where bias lies, how to collect data and the impact of bias and ethical considerations in your data science solutions.
In this high level talk we will discuss the social and ethical impacts of latest advances in data science. We will look at how to understand where bias lies, how to collect data correctly and tooling you may use to investigate your data sets.
Speakers
Robin Lester's previous sessions
How to Run a Successful AI Project
In this short session we will go through the pitfalls, lessons learnt and best practices when building your AI consultancy practice.
Ethics and Bias in data science
How to understand where bias lies, how to collect data and the impact of bias and ethical considerations in your data science solutions.
Azure Machine Learning and the Python SDK
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
Azure SQL Data Warehouse Optimizing and Maintaining
In this talk we will discuss best practices around how to design and maintain an Azure SQL Data Warehouse for best throughput and query performance.