Bhattacharyya proposes a system that manages data through tags, which would allow for automatic application of policies and reduce manual errors. He also suggests that AI could be used to tag data, as it is an excellent classifier and can find patterns not visible through normal algorithms. He concludes by emphasizing the need for a platform that can run sophisticated compute uniformly from the edge to the public cloud, and that doesn't just offer data or compute, but both.
Key takeaways:
- Enterprise data, especially unstructured data, is growing rapidly and needs a global data management solution for managing, securing, and analyzing it.
- Data management can be simplified by using tags, which allow for automatic application of policies, reducing manual errors and security risks.
- AI can be used to automatically generate tags and classify data, improving the efficiency and accuracy of data management.
- For effective global data management, a platform is needed that can run sophisticated compute uniformly from the edge to the public cloud, and doesn't offer just data or just compute, but both.