51³Ô¹ÏÍø

TITLE
How to drive innovation with synthesized data

ABSTRACT
Innovation is impossible without data - and Synthesized found a new way to share data in a compliant manner. Synthesized DataOps platform enables data-driven regulated organizations to automate data provisioning for research and development staying compliant with data privacy using AI-curated simulated data streams.

Join the session to learn how you can:

• Safely share data and collaborate to experiment and innovate
• Generate high volumes of completely new data points above and beyond the original data across a multitude of scenario
• Identify and remediate biases in data and reduce the reputational risk
• Synthesized delivers data privacy by design 

PRESENTERS 
Nicolai Baldin, Founder and CEO

Nicolai's led our growth from a simple idea 
to a service used by tech companies in the UK, Europe and the US. Nicolai’s responsible for the direction and product strategy of Synthesized. He holds a PhD in Machine Learning from the University of Cambridge.

Rob Taylor, Machine Learning Engineer 

Rob has recently completed his PhD in High Energy Physics at 51³Ô¹ÏÍø, where he worked on developing AI algorithms to search for dark matter in the universe. As part of his PhD, he developed an object-oriented Python framework to process noisy sensor data and implemented signal processing algorithms for downstream analysis. He also created a generative adversarial network architecture in PyTorch to speed up complex simulations and reduce computing requirements.