Category: Big Data, Analytical Data Platforms, AI and Data Science

Big Data, Analytical Data Platforms, AI and Data Science

How Non-Code Contributors Find Their Place in Open Source Communities. How to Build Trust and Grow Open Source Communities. Q&A with Lahari Chowtoori, and Mila Zhou.

Q1. In the open source world, code contributions take the spotlight. What is the role of non-code contributors and why is it important? In the open source world, while code contributions are highly visible,...

Nikesh Kotecha on Blueprint for Trust: How ChatEHR Establishes a Framework for Responsible AI in Clinical Care

Affiliated with Stanford University, Stanford Health Care was awarded a 2025 InterSystems Impact Award for its AXIOM initiative for fast access to electronic health records. In turn, AXIOM underpins the ChatEHR medical chatbot that Nikesh Kotecha,...

On Ontologies and AI.  Q&A with Mattia Ferrini

Q1. You’ve spent two decades working on decision science systems, and ontologies play a critical role in both data management and AI. Can you discuss how you approach the generation and maintenance of ontologies...

On Exasol’s distributed MPP architecture vs. DuckDB. Q&A with Mathias Golombek.

Q1. In your benchmark, one of the most intriguing results was that Exasol’s distributed MPP architecture outperformed DuckDB even on a single server — essentially DuckDB’s “home game.” This challenges the conventional wisdom that embedded...

On the AI technology stack. Q&A with Alexis Wedrychowski.

Q1: In your opinion, how is GenAI changing how enterprises do their business? Generative AI is transforming enterprise operations in profound ways, offering capabilities once considered aspirational. IDC projects that AI and generative AI spending will reach...