inetica handles vast real-time data, while NL2SQL simplifies querying, enabling non-technical staff to extract insights effortlessly. This pairing accelerates decision-making, aids infrastructure planning, and swiftly adapts strategies in the competitive telecom landscape.
Kinetica's SQL-GPT for Telco has undergone rigorous fine-tuning to understand and respond to the unique data sets and industry-specific vernacular used in the telecommunications sector,
The Large Language Model (LLM) utilized is native to Kinetica, ensuring robust security measures that address concerns often associated with public LLMs, like OpenAI.
Kinetica’s SQL-GPT for Telco has undergone rigorous fine-tuning to understand and respond to the unique data sets and industry-specific vernacular used in the telecommunications sector.
ideal for real-time analysis on large, streaming spatial datasets, Kinetica’s suite of spatial and time-series functions makes it easy to do time-series and spatial processing in-database
Generative AI is beginning to impact the analysis of structured enterprise data. It enables the conversion of natural language queries to structured query language (SQL) and facilitates vector similarity search to uncover valuable insights previously buried in the data
These developments, both individually groundbreaking, have intertwined to democratize complex spatial and time-series analysis, making it accessible to a broader spectrum of data professionals than ever before.
The company closely works with government agencies like United States Postal Service (USPS) and Defense Advanced Research Projects Agency (DARPA) while also catering to the private sector.
Generative AI plays two parts in the real-time space. One is acting as a co-pilot for users, where it unlocks a whole new level of efficiency and insight for a much broader set of users. The second part of that is it’s going to change the compute requirements of the analytic ecosystem...
GenAI blew up the pressure on data engineers, making it "untenable" for them to build pipelines for a growing number of queries. That's when Kinetica saw a significant opportunity and seized it.
