Join us for this insightful webinar to discover how real-time retrieval is revolutionizing GenAI applications. Learn about the innovations that are enabling these breakthroughs and explore how Kinetica is uniquely positioned to support these enterprise-scale demands in a secure, scalable manner.

Tune in on Nov. 12th at 1:00 PM ET to:

• Discover the challenges of integrating real-time text and tabular data into sophisticated GenAI applications.
• Learn how Kinetica delivers exceptional performance for vector search and ad-hoc SQL query execution on real-time data
• Explore essential features like data catalogs, query federation, and language-to-SQL capabilities that simplify building advanced GenAI applications for enterprise needs.

Speakers

Nima Negahban
Nima Negahban is the CEO and co-founder of Kinetica, where he pioneered the use of GPUs for real-time analytics, starting with tracking terrorists for the Department of Defense. He evolved Kinetica into a cutting-edge, distributed SQL database that unifies vector, graph, spatial, and time-series analytics for instant insights across multiple real-time datasets. Today, Kinetica is trusted by top industries like telecom, automotive, and defense.

Doug Henschen
Doug Henschen is Vice President and Principal Analyst at Constellation Research, focusing on data-driven decision making. Henschen’s Data-to-Decisions research examines how organizations employ data analysis to reimagine their business models and gain a deeper understanding of their customers. Henschen’s research acknowledges the fact that innovative applications of data analysis requires a multi-disciplinary approach starting with information and orchestration technologies, continuing through business intelligence, data-visualization, and analytics, and moving into NoSQL and big-data analysis, third-party data enrichment, and decision-management technologies.

The post How to Harness All of Your Data (Not Just Text) to Deliver Reliable, Real-Time Answers With GenAI appeared first on Kinetica - The Real-Time Database.

Discover how Kinetica’s unique Language to SQL and Data Cataloging features enable multimodal retrieval, combining vector search on embeddings with traditional SQL queries on relational tables. With Kinetica’s accelerated query engine, you can execute complex queries against real-time data in seconds, providing your LLMs with the additional context needed to answer user questions effectively.

Kinetica’s enterprise-grade database also offers robust security features, including row and column-level access controls, ensuring that sensitive data remains protected and accessible only to authorized users. Learn how to harness the full potential of your data—text and tabular—to build sophisticated GenAI apps that provide meaningful, secure insights.

The post Beyond Text: Creating GenAI Apps that Leverage All Your Data for Deeper Insights appeared first on Kinetica - The Real-Time Database.

For the purposes of this demonstration, Aaron taps into data feeds from racecar video games to mimic data that would be received from real vehicles. Watch how easy it is to integrate Kinetica with Grafana and then perform complex analytical operations including window functions and AS-OF joins on large amounts of data to get actionable information in seconds.

Kinetica unlocks the ability to evaluate car and driver performance in real-time – allowing teams to quickly iterate on race strategy.

The post Real-Time Vehicle Telemetry at Speed appeared first on Kinetica - The Real-Time Database.

Kinetica also offers real-time tracking against these optimal routes. We’ll show you how to monitor your fleet’s actual GPS locations and compare them against the planned routes. If a truck deviates significantly, our system can automatically send out alerts, allowing for immediate corrective action. This seamless integration of planning and real-time tracking ensures not only cost savings but also enhances operational efficiency.

The post Smarter Fleet Management: Real-Time Route Optimization and Alerts with Kinetica appeared first on Kinetica - The Real-Time Database.

In this exclusive session, we’ll unveil Kinetica’s cutting-edge natural Language to SQL features that make it possible to generate complex analytical queries using just plain English and run them on large datasets using Kinetica.

Experience firsthand how LLMs can effortlessly generate complex geo-joins, ST_Geometry functions, and time series queries —using natural language prompts that are executed using Kinetica.

Don’t miss your chance to learn more about this revolutionary shift in data analysis. Secure your seat today.

The post Unlock the Future of Big Data Analytics with Natural-Language-to-SQL appeared first on Kinetica - The Real-Time Database.

In this webinar, we will showcase Kinetica’s advanced Generative AI capabilities that simplify the authoring of sophisticated geospatial algorithms against massive data sets. Participants will witness how complex geo-joins, ST_Geometry functions, and geo-graph solvers can now be outputted by a Large Language Model (LLM) by simply expressing the question in English, and then executed within seconds.

The post Geospatial meets Generative AI: Simplifying Location Intelligence with Large Language Models appeared first on Kinetica - The Real-Time Database.

You Will Learn:

• Reduced Settlement Time: Witness how Kinetica seamlessly integrates real-time data with spatial and actuarial datasets to dramatically cut down the time from First Notice of Loss (FNOL) to settlement.
• Enhanced Claims Adjuster Efficiency: Discover how Kinetica’s platform directs claims adjusters to areas most susceptible to weather events, offering predictive insights even before disasters occur.
• Advanced Fraud Detection:Explore how Kinetica can enable state of the art machine learning models to operate in real-time to help insurance providers identify inconsistencies between claims and predicted damages, significantly amplifying fraud detection efforts.

The post Modernize Property & Casualty Insurance: A Live Demo with Kinetica appeared first on Kinetica - The Real-Time Database.

Presented By: Aaron Bossert
Aaron is the Director of Solutions Engineering for Kinetica. Aaron has been in the cybersecurity, big data, and high-performance computing (HPC) field for the last 23 years at organizations such as the U.S. intelligence community, the Defense Advanced Research Projects Agency (DARPA), the Department of Homeland Security (DHS), the Bureau of Alcohol, Tobacco, Firearms, and Explosives (BATFE), and Cray Supercomputer.

Moderated By: Linda Stevens
Linda Stevens is an inspirational leader with a unique perspective on the power of geography and location intelligence. With her background in GIS and geospatial expertise, she is a champion for the Earth and a strong strategic thinker who provides leadership and management to global teams. As the former Chief Marketing Officer (CMO) of Esri, she successfully led the company in using smart marketing strategies to help promote their GIS technology for 30 years.

The post Unleashing the Power of ArcGIS and Kinetica – Bridging the Gap Between GIS and Big Data Challenges appeared first on Kinetica - The Real-Time Database.