I am pleased to announce the release of my updated “Thinking Like a Data Scientist” workbook. As a next step, I plan to work on a supplemental workbook incorp...
We all know the drill – microservices are the rockstars of the application architecture world, offering agility, scalability, and that ever-elusive dream of clean, main...
This is not a repository of traditional questions that you can find everywhere on the Internet. Instead, it is a short selection of problems that require outside-the-box ...
Data engineers are professionals who specialize in designing, implementing, and managing the systems and processes that transform raw data into usable and trusted informa...
For our 4th episode of the AI Think Tank Podcast, we explored cybersecurity and artificial intelligence with the insights of Tim Rohrbaugh, an expert whose career has tr...
Illustration by Dirk Wouters on PIxabay I had the opportunity to attend Enterprise Agility University’s prompt engineering course in April. The course provided a helpfu...
Traditional analytics optimize based on existing data, reflecting past realities, limitations, and biases. In contrast, AI focuses on future aspirations, identifying the ...
Background Retrieval Augmented Generation(RAG) is an approach for enhancing existing LLMs with external knowledge sources, to provide more relevant and contextual answers...
When you do model training, you send data through the network multiple times. Think of it like wanting to become the best basketball player. You aim to improve your shoot...
Photo by Hermann Traub on Pixabay Losing control of your company’s data? You’re not alone To survive and thrive, data likes to be richly and logically connect...