Category: Big Data, Analytical Data Platforms and Data Science-Blog Posts

On Graph Databases, Gen AI and the Cloud. Q&A with Jim Webber

Q1. The demand for graph databases is being regarded as essential infrastructure for AI systems. Why? Large Language Models (LLMs) are incredibly powerful for AI systems, but businesses have to balance the models’ creativity...

On GenAI, Large Language Models, and Vector Databases. Q&A with Ryan Siegler

Q1. Previously, you worked at the Ford Motor Company as an Enterprise Architect. What did you learn there, that is useful to your current job? As an Enterprise Architect in ML Research, I gained...

MySQL Rockstar 2023: Q&A with Alkin Tezuysal

Q1. You were awarded the MySQL Rockstar 2023. Congratulations! What do you think are your most important contributions in the area of open-source relational databases? My most significant contributions to the open-source relational database community...

On Tools for Finding the Right Context for GenAI RAG Solutions. Q&A with Imran Chaudhri

The growing adoption of generative AI (GenAI) is transforming industries, but its effective deployment, particularly in enterprise applications, requires overcoming significant challenges, particularly when it comes to accuracy. Solutions like Retrieval Augmented Generation (RAG),...

On XGBoost for Regression Predictive Modeling and Time Series Analysis. Q&A with Partha Deka 

Q1: What inspired you to write this book on XGBoost and predictive modeling? We have always been passionate about the potential of machine learning and data science to solve real-world problems. XGBoost stands out...

On Progress® MarkLogic® FastTrack™. Q&A with Matthieu Jonglez

Q1. You have announced Progress® MarkLogic® FastTrack™. What it is and what is it useful for? MarkLogic FastTrack is a React UI development toolkit that enables organizations to build search- and data-driven applications for exploratory data analysis...