Operational Database Management Systems
Time Series Database Systems (TSDBs) are specialized database systems designed to efficiently manage high-frequencytime series data. Unlike relational database systems, TSDBs rely on the general assumption that queries do not target individual tuples but summarized entries in a time...
” A data fabric is an architectural pattern that strives to create consistency among all data and metadata in an organization to make data easy to find, access, and use. A data fabric can be a...
Growing up on a farm influenced my passion for science and ultimate career path. I’m a scientist at heart and have always liked data and facts and being objective. Great science is what motivates...
Q1. What were in your opinion the main trends for the database in 2023? At the end of 2022 and the beginning of 2023, I noticed several interesting trends happening in the database ecosystem....
Q1. From a database perspective, what are the main challenges that Generative AI (GenAI) poses? The biggest challenge that Gen AI poses is scale. We have so many sources of data – data used...
Q1. What is Retrieval Augmented Generation (RAG)? Retrieval Augmented Generation (RAG) is a method that combines the capabilities of generative models, like LLMs, with information retrieval techniques. In a RAG system, when presented with...
Q1. Vector embeddings are becoming increasingly popular in natural language processing (NLP), computer vision, and other artificial intelligence (AI) applications. Why? Vector embeddings are the words and phrases that computers use to communicate. Unlike...
New York, November 28th – KX, a global leader in vector and time-series data management, has announced the general availability of KDB.AI Server Edition, a highly-performant, scalable, vector database for time-orientated generative AI and contextual...
Q1. Despite their impressive capabilities, computers cannot easily understand text, images, audio, or other human-readable data formats. Why? Computers inherently operate on binary data, and their processing capabilities are rooted in numerical and logical...
Navigating under uncertainty: Adapting AI techniques to stochastic setting By Pranesh Srinivasan Abstract: Stochastic environments, with their unpredictable nature, might seem like a daunting problem. However, with techniques like problem decomposition, preventing overfitting, joint...