Operational Database Management Systems
As an engineering leader at multiple SaaS companies, I have seen firsthand the benefits of effectively integrating data science and machine learning (ML) into our operational processes. Q1. You are Vice President of Engineering...
Q1 What are the main problems most organizations face when managing applications and data across multiple clouds and on-premises? There are two main problems organizations face when managing applications and data across multiple clouds...
” 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...
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...
Q1. What is Large Language Model Architecture? Large Language Model Architecture refers to the design and structure of models that specialize in understanding and generating text. The most prevalent architecture is Transformer-Based, which employs...