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Democratizing Unstructured Data at Scale with Edward Cui of Graviti | Utilizing AI 3×12

Machine learning applications require massive datasets, but it can be challenging to build and store large amounts of unstructured data. In this episode of Utilizing AI, Edward Cui of Graviti discusses his creation of an open repository for unstructured data with Frederic Van Haren and Stephen Foskett. Coming from Uber’s self-driving organization, Cui realized the value of data and the challenge of storing massive amounts of unstructured data, so he created the Graviti platform and made it available for free to open datasets. These datasets enable development of a variety of applications, from agriculture and environmental science to gaming and robotics. To address the challenge of data sharing and quality, Graviti is working with the Linux Foundation on the OpenBytes project.

Three Questions

  1. Frederic: Are there any jobs that will be completely eliminated by AI in the next five years?
  2. Stephen: When will we see a full self-driving car that can drive anywhere, any time?
  3. Tom Hollingsworth, Gestalt IT: Can AI ever recognize that it’s biased and learn how to overcome it?

Guest

Edward Cui, Founder of Graviti. You can follow Graviti on LinkedIn or Twitter at @graviti_ai. You can also email Graviti at contact@graviti.com  

Hosts

For your weekly dose of Utilizing AI, subscribe to our podcast on your favorite podcast app through Anchor FM and check out more Utilizing AI podcast episodes on the dedicated website, https://utilizing-ai.com/.  

About the author

Stephen Foskett

Stephen Foskett is an active participant in the world of enterprise information technology, currently focusing on enterprise storage, server virtualization, networking, and cloud computing. He organizes the popular Tech Field Day event series for Gestalt IT and runs Foskett Services. A long-time voice in the storage industry, Stephen has authored numerous articles for industry publications, and is a popular presenter at industry events. He can be found online at TechFieldDay.com, blog.FoskettS.net, and on Twitter at @SFoskett.

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