Kinetica has announced the availability of Kinetica SQL-GPT for Telecom, the real-time solution that leverages generative AI and vectorized processing to enable telco professionals to have an interactive conversation with their data using natural language. 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,” said Nima Negahban, Co-founder and CEO, Kinetica. “This ensures that telco professionals can easily extract insights from their data without the need for extensive SQL expertise, reducing operational bottlenecks and accelerating decision-making.”

SQL-GPT for Telecom makes it easy for anyone to now ask complex and novel questions that previously required assistance from highly specialized development resources.

Utilizing Kinetica for its time-series and spatial capabilities for network optimization, one of the largest telecommunications providers processed 90 billion spatial object records, turning lat/longs provided by Google into atomic routes which could be used for coverage planning and ROI projections for network/retail build out. Previously, attempting to execute Google Route analysis took several weeks and significant technical churning to map two streets in San Francisco. Kinetica was able to map all streets in the entire state of California in under an hour.

Kinetica SQL-GPT for Telecom is immediately available to customers in a containerized, secure environment either on-premises or in the cloud.