Generative AI is probably the best product from humankind since fire and baked bread. This analogy stands valid with respect to its comparison with fire… Read More »What Is generative AI audio? Everything you need to know
Metadata management is critical to data lake architecture, ensuring that data is well-organized, easily discoverable, and effectively utilized. As data lakes store vast amounts of… Read More »Metadata management in data lakes
The generative AI boom represents a watershed moment for the world of marketing, and every brand will soon be faced with a transformative decision to… Read More »Why intelligent brands are reverting to user-generated content amid the generative AI boom
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… Read More »GenAI, RAG, LLM… Oh My!
We all know the drill – microservices are the rockstars of the application architecture world, offering agility, scalability, and that ever-elusive dream of clean, maintainable… Read More »Extrapolate as you wish: AI-powered code generation takes center stage in the microservices revolution
Data engineers are professionals who specialize in designing, implementing, and managing the systems and processes that transform raw data into usable and trusted information. They… Read More »How long does it take to master data engineering?
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 helpful… Read More »Data fitness and its impact potential on enterprise agility
Traditional analytics optimize based on existing data, reflecting past realities, limitations, and biases. In contrast, AI focuses on future aspirations, identifying the learning needed to… Read More »Why is AI different? It Can Guide Our Societal Aspirations
Background Retrieval Augmented Generation(RAG) is an approach for enhancing existing LLMs with external knowledge sources, to provide more relevant and contextual answers. In a RAG,… Read More »Understanding GraphRAG – 1: The challenges of RAG
