Most of the stuff we see around LLMs today is low-speed data; it’s very static, and it hasn’t been updated. That’s something I think we’re going to see develop over the next 24 months.
LLMs for language-to-SQL will move in-database to protect sensitive data when utilizing these LLMs, addressing one of the primary concerns surrounding data privacy and security.
Kinetica’s Spatio-Temporal Analytics offers a cutting-edge framework designed to handle the complexities of space and time data with unmatched precision.
Kinetica is a well engineered software product that functions as advertised. The craftsmanship of its makers is evident in its function as well as in the confident and effective technical support
Kinetica’s ASOF join capability, allowing the correlation of different car sensor readings with offset timestamps across a staggering 8,000 tables of individual sensor reading time-series data feeds, set it apart from competitors and secured the deal.
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