Operational Database Management Systems
Q1. You work at work Percona as Principal Support Engineer for MySQL, its forks and utilities. What are your responsibilities? My title is Principal Support Engineering Coordinator and my responsibility is to ensure that...
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...
“Generative AI has been used in a number of supply chain scenarios with promising results. The biggest use cases will likely revolve around analyzing large sets of historical data to help with demand planning,...
Extreme performance with 500-microsecond latency, reinforcing Scality’sleadership in AI data pipelines at exabyte scale LONDON, UK – 30 October 2024 – Scality, a global leader in cyber-resilient storage software for the AI era, today unveiled...
Q1. As real-time systems grow in complexity, they require managing increasingly large and intricate data. What are the main challenges in managing the predictability aspects of real-time databases? Several challenges must be addressed. In a...
LONDON UK – 16 October 2024: Scality, a global leader in cyber-resilient storage software for the AI era, announced today that it has been named by Gartner® as a Visionary in the 2024 Magic Quadrant for File...
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...
Q1. What are the main challenges in integrating and managing AI data for critical enterprise workloads? Modern AI application patterns are heavily leaning into real-time consumption of domain specific AI knowledge. This means that...
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),...
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...