Kinetica in Motion
Towards long-term memory recall with Kinetica, an LLM, and contexts
Prior to the emergence of machine learning, and particularly “deep learning,” I was an ML skeptic. Judging from what I saw from the state of the art at the time, I’d say there was no way to program a CPU …
Read MoreThe GPU strikes back: Why the GPU will be the premiere compute device for Analytics not just AI
Since their inception, databases had been designed with the notion of compute being a scarce resource. So they organized data in advanced data structures, on disk and in memory, so that when the query comes in, you’re using as little …
Read MoreTrue Ad-Hoc Analytics: Breaking Free from the Canned Query Constraint
Many database vendors often boast about their support for ad-hoc querying and analytics, but in practice, true ad-hoc capability remains elusive. While the term “ad-hoc” implies the ability to generate novel, unanticipated questions on the fly, the reality is that …
Read MoreA New Tool for Large GIS Datasets
Today, many GIS users jump out of their systems and use Postgres or SQLServer to run spatial queries on larger datasets. While this is a nice workaround, this approach is limited in both scale and ease of use. With Kinetica, …
Read MoreConversational Query with ChatGPT and Kinetica
Kinetica is a high-speed analytical database for big data. Its integration with ChatGPT allows you to havea sophisticated analytical conversation with your data in English no matter the scale. This post will show you how to set up and use …
Read MoreHow to Build Real-Time Location Intelligence Apps
Real-time location intelligence is the the art of gathering, analyzing and acting on location-based data as events unfold. It’s valuable for a range of applications such as fleet management, smart cities, detecting threats in our airspace, smart agriculture, proximity marketing, …
Read MoreTelco Networks use Geospatial Analytics to Generate Customer Insight
Elon Musk’s SpaceX filed an application with the Federal Communications Commission (FCC) on March 1, 2017 to put nearly 12,000 satellites into orbit– an additional 7,518 satellites on top of a previous application for 4,425 satellites. The primary objective is …
Read MoreASOF joins with Kinetica
Combining two or more tables using values from a related column is one of the most common tasks when analyzing data. This is typically done by matching the values in the related column(s). But this runs into problems because real …
Read MoreThe Internet of Things in Motion (IoTiM)
Sensors have evolved from taking readings over time to taking readings over space and time. Understanding this trend and the resulting impacts are essential for innovators seeking to create value in the next wave of IoT products and services. From …
Read MoreSpatial Analytics: Optimizing Graphs on Geospatial Features
Modern mapping tools now give us options — avoiding tolls, avoiding highways, etc. How do they do it, and how could we build our own routing system that optimizes on the factors we deem important? Perhaps we want the most …
Read More