Welcome to the MBN Solutions AI Right? podcast show
You can watch our podcast series below or listen here:
On the latest AI Right? podcast we were joined by David Tracy, Head of Data Product at Smart Data Foundry to discuss Synthetic Data.
3 key takeaways from the session:
- - The episode focuses on what synthetic data is, how you create it and how it can benefit businesses.
- - We also discuss the impact generative modelling is having on synthetic data and the relationship between synthetic data and LLMs.
- - We also explore David’s background, Smart Data Foundry and their new synthetic data product.
Guest Bios:
David Tracy, Head of Data Product – Smart Data Foundry
At Smart Data Foundry, David is responsible for leading the product development team. His main objective is to utilise financial data in order to gain insight into how individuals and businesses manage their finances. David collaborates with government institutions, banks, charities, fintech and academics to make more informed decisions, develop better policies and create superior products that will ultimately lead to improved outcomes.
Prior to joining Smart Data Foundry, David held the position of leading the Data Science and Innovation team for the UK Consumer data division at Experian. He has also gained extensive experience in the banking and insurance financial services industry, as well as contributing to the success of start-ups such as FanDuel and Castlight Financial.
Meet the Hosts:
Kris McFadyen
Kris is an Associate Director at data science and technology recruitment company MBN Solutions. He has worked closely with the UK and Europe’s data markets and leaders for the past six years. He brings in-depth knowledge of the data market’s talent challenges and opportunities to AI Right?
Andy McMahon
Andy is the winner of Data Scientist of the Year at the International Data Science Awards 2019 and is currently Head of MLOps for Data Innovation at NatWest Group. He has a PhD in condensed matter physics and is currently focused on innovations in machine learning and ML Ops.
Megan Stamper
Megan is a principal data scientist in the media industry and leads a team focusing on conversational artificial intelligence and recommendation mechanics. She has a PhD in Oceanographic Fluid Mechanics and has previously worked for The Financial Times.