John Sandall

In this 90-minute workshop, machine learning engineers and data scientists will learn practical techniques for identifying and mitigating age bias in AI-driven hiring systems.

🎵 What happens when you feed an embedding model with folk tunes? 🤖 Our journey starts with a powerful transformer-powered NLP use-case: automated topic modelling using embedding models, clustering algorithms and LLMs.

Are you secretly a spy and/or passionate about open-source? Maybe you don't trust a cloud-hosted service with your highly classified information, or perhaps you like to build things for yourself.

The Modern Data Stack has brought a lot of new buzzwords into the data engineering lexicon: "data mesh", "data observability", "reverse ETL", "data lineage", "analytics engineering".

Data and technology can be powerful tools for understanding and improving the democratic process. Instead of weaponising these tools to produce unfair advantages, driving mistrust and disenfranchisement, the data community can also do the opposite.