Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large. Some accounts estimate that AI is driving 90% of US GDP growth, while others ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

Varonis Systems, Inc., a data security leader, is releasing Varonis Next-Gen Database Activity Monitoring (DAM), a new approach to database security that deploys quickly and prevents data breaches ...

The MIDAS workshop is designed to foster meaningful collaboration between researchers and industry practitioners by identifying and addressing complex challenges in the field of Generative AI (GenAI) ...

Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom ...

Hi there👋🏼 My name is Amit. I'm interested in MLOps/DevOps, Data Engineering, and Backend Engineering in general.

With the launch of the NIBN Japan Microbiome Database, scientists gain an unprecedented window into how lifestyle and diet shape our microbiome and influence long-term health. Research: NIBN Japan ...

pySQLY is a Python library that enables developers to write database queries using YAML syntax instead of traditional SQL. This approach simplifies database interactions, enhances readability, and ...