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https://www.geospatialworld.net/news/kinetica-unveils-first-sql-gpt-for-telecom/

The Large Language Model (LLM) utilized is native to Kinetica, ensuring robust security measures that address concerns often associated with public LLMs, like OpenAI.
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Scaling AI to Advance Analytics for Big Data Workloads | Live Panel

Solutions Review is proud to present the 5th annual INSIGHT JAM LIVE, a week-long celebration of enterprise technology. From December December 5 — 8th, 2023
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Kinetica Selected By Mahindra Formula E Racing To Provide Lightning-Fast Insights

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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Kinetica Unveils First SQL-GPT for Telecom, Transforming Natural Language into SQL Fine-Tuned for the Telco Industry

Kinetica, today announced the availability of Kinetica SQL-GPT for Telecom, the industry’s only real-time solution that leverages generative AI and vectorized processing to enable telco...
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Three Ways Generative AI Is Overhauling Data Management

AI empowers a broad set of users to discover new and exciting insights. Here are three ways AI is changing how enterprises manage their data.
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Leveraging Gen AI on Structured Enterprise Data

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
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Mahindra Formula E Racing Selects Kinetica for Lightning-Fast Insights

In the fiercely competitive world of international motorsport, where every millisecond counts, Kinetica has been chosen by Mahindra Racing, currently competing in the electric FIA Formula E Championship,...
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Mahindra Formula E Racing Selects Kinetica for Real-time Insights

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
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Transforming spatiotemporal data analysis with GPUs and generative AI

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.
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How Kinetica Is Helping Large Organizations Like USPS With Real-Time Data

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.
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Reengineering Data Engineering for GenAI

Kinetica did more than position its database for GenAI data engineering. It also integrated a ChatGPT-like interface to its vector database, natively handling queries in natural language and converting them to SQL on the fly.
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The GenAI Data Developer Experience: Performance Optimization

When you pair large language models with database engines geared for this new world of servers, the need for performance pre-optimization vanishes.
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The GenAI Data Developer Experience: Performance Optimization

Kinetica leverages a concept called retrieval-augmented generation (RAG) to interpret a natural language request whose subjects, verbs and objects can be mapped to symbols in a tabular, time-series, or geospatial database.
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Reengineering Data Engineering for GenAI

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.
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AI Leadership Insights: Real-Time Analytics

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...
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AI model training rekindles interest in on-premises infrastructure

The folks we’re talking to are fixated on having complete control,
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Where in the World? The Reality of Geospatial Data

Join host Eric Kavanagh as he delves into the fascinating world of geospatial data. Eric is joined by two esteemed experts in the field: Eugene Burke, a data strategy leader, and Nima Negahban, the CEO of Kinetica.
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Kinetica’s Native Large Language Model Enables Organizations To Run SQL-GPT With Enhanced Privacy

In addition to being more secure, Kinetica’s native LLM is tailored to its syntax and industry data definitions such as telecommunications, financial services, automotive, logistics and others, creating more reliable and accurate SQL generation
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