Our society has become increasingly reliant on data, but its value is not accessible to all. Of the 16 billion terabytes of data created globally in 2016, only 1% was analyzed. Among other discrepancies, the growing data monopolies concentrate power over certain technologies such as artificial intelligence precluding their positive impact on society.
Trent McConaghy, AI researcher and the founder of the decentralized data exchange, Ocean Protocol, is aiming to solve this by enabling individuals and organizations to share, monetize, and access data.
In this conversation, Trent and Azeem Azhar discuss:
- The real-world impact of deep learning and error reduction, and why we have not yet fully leveraged data’s learning potential.
- Early use cases of successful data exchange in mining and autonomous driving.
- Drawing distinctions between human rights and tradable property, should ownership of personal data be protected as a human right?
HBR Presents is a network of podcasts curated by HBR editors, bringing you the best business ideas from the leading minds in management. The views and opinions expressed are solely those of the authors and do not necessarily reflect the official policy or position of Harvard Business Review or its affiliates.