Kinetica in Motion
How to deploy natural language to SQL on your own data – in just one hour with Kinetica SQL-GPT
You’ve seen how Kinetica enables generative AI to create working SQL queries from natural-language questions, using data set up for the demonstration by Kinetica engineers. What about your data? How can you make Kinetica respond to real SQL queries about …
Read MoreThe mission to make data conversational
I think one of the most important challenges for organizations today is to use the data they already have more effectively, in order to better understand their current situation, risks, and opportunities. Modern organizations accumulate vast amounts of data, but …
Read MoreTowards 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 …
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The 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 MoreGetting answers from your data now: Natural language-to-SQL
Generative AI has raised people’s expectations about how soon they can get answers to the novel questions they pose. What amazes them first is how fast GenAI responds to them. When people see this, they wonder why they can’t have …
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True 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 MoreAsk Anything of Your Data
The desire to query enterprise data using natural language has been a long-standing aspiration. Type a question, get an answer from your own data. Numerous vendors have pledged this functionality, only to disappoint in terms of performance, accuracy, and smooth …
Read MoreGPU Accelerated Analytics – A Comparison of Databricks and Kinetica
GPUs have continued to rise in interest for organizations due to their unparalleled parallel processing power. Leveraging GPUs in an enterprise analytics initiative allows these organizations to gain a competitive advantage by processing complex data faster and extracting valuable insights …
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Time Series Analytics
There are useful timestamp functions in SQL, Python, and other languages. But, time series analysis is quite different. Times series data is often never-ending measurements in a points-in-time sequence. The data is almost painful to the human eye but fits …
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Conversational 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 …
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