In the intricate world of artificial intelligence, have you ever wondered how complex data is translated into meaningful insights that we can understand and act

To get value from data, data stewards must understand and apply business requirements. When business ambiguity arises about how to best serve data stakeholders, data

As I work with more organizations using Generative AI (GenAI) tools like OpenAI’s ChatGPT and Microsoft’s Copilot, I see an interesting dilemma – many organizations

One of the most popular discussion topics these days is AI developer vs AI scientist. Rather than switching from one to the other, I offer

El concepto de LLMOps Los modelos de lenguaje de gran tamaño (LLM) son modelos de aprendizaje automático que realizan tareas relacionadas con el lenguaje, como traducir, responder

The recent news of adding CAIOs led to everyone talking about this role in creating safeguards around AI.  While the title sounds appealing, it comes

Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for

There are thousands of articles explaining the differences between data scientist and machine learning engineer. Data science gets broken down even further, with data analysts

Artificial intelligence and data science became front-page news in 2023. The rise of generative AI, of course, drove this dramatic surge in visibility. So, what

It is difficult to follow all the new developments in AI. How can you discriminate between fundamental technology here to stay, and the hype? How