With the development of artificial intelligence, we need massive datasets to process machine learning. However, the acquisition, storage and processing of a large amount of unstructured data pose great challenges for them. In this blog, Edward will share about democratizing unstructured data and introduce the open datasets community of Graviti.
As we know that massive datasets are required for machine learning applications, but building and storing large amounts of unstructured data can be a challenge. Today Edward Cui will talk with Frederic Van Haren and Stephen Foskett in this blog about his open repository for unstructured data. Coming from Uber’s self-driving organization, Cui realized the value of data and the challenge of storing massive amounts of unstructured data in his work, so he created the Graviti platform and made it available for free to open datasets. These datasets available in our dataset platform enable the development of a variety of applications, from agriculture and environmental science to gaming and robotics. In addition to addressing data sharing and quality challenges, we are working with the Linux Foundation on the OpenBytes project.
Date: 11/30/2021 Tags: @graviti_ai, @FredericVHaren, @SFoskett
In this podcast, Edward systematically explains his recent ideas for Graviti as the next-generation data platform. Not only did this give everyone a better understanding of Graviti's data platform in relation to unstructured data, but it also gave people a deeper understanding of unstructured data. The purpose is to better help people stand on the shoulders of giants, continuous innovation.
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