

Data, data everywhere and not a stop to think
Mar 26, 2024
Discussing the challenges of data storage and security, measures of data quality for generative AI, and the role of Cribl in the data and observability space. Touching on the pros and cons of richer observability monitoring and closing remarks on the evolving data landscape.
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Data Landscape and Generative AI
- Generative AI's data landscape is evolving, with vector databases gaining prominence.
- Incumbent data companies often integrate new technologies, like vector databases, into existing products.
Challenges of Exabyte Storage
- The increasing use of exabytes of data necessitates new storage technologies like DNA-based storage.
- Logistical and physical limitations, along with cost, make storing such vast amounts of data challenging.
Securing Data Warehouses
- Securing vast data warehouses is a piecemeal process, with log data posing significant challenges.
- Companies struggle to secure log data due to its diverse sources, formats, and lack of direct ties to business processes.