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Decentralized data markets in theory and practice

Bharath Ramsundar (Computable)
11:00am-11:45am Wednesday, September 5, 2018
Blockchain and AI Summit
 Location: Imperial B

Today’s data economy critically depends on access to high-quality datasets. However, the owners of such datasets are incentivized to keep them private, since there is no fair and efficient market for purchasing high-value datasets. The construction of a decentralized, liquid data marketplace would remove critical bottlenecks for the growth of machine learning and AI.

Bharath Ramsundar explains how to build a decentralized data marketplace by exploiting the capabilities of smart contract platforms such as Ethereum and discusses the practical implementation of such a protocol.

Photo of Bharath Ramsundar

Bharath Ramsundar

Computable

Bharath Ramsundar is cofounder and CTO at Computable, where he is focused on designing the decentralized protocols that will unlock data and AI to create the next stage of the internet. Bharath created the DeepChem open source project to grow the deep drug discovery open source community and cocreated the MoleculeNet benchmark suite to facilitate development of molecular algorithms. Bharath is the lead author of TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning, a developer’s introduction to modern machine learning, from O’Reilly Media. He holds a BA and BS in EECS and mathematics from UC Berkeley, where he was valedictorian of his graduating class in mathematics, and a PhD in computer science from Stanford University, where he studied the application of deep learning to problems in drug discovery. Bharath’s graduate education was supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences.