LLMs, RAG, semantic layer, agentic AI, GenAI applied for data & analytics
Reading Time: 8 minutesThe quarterly business review was going well until someone asked the AI assistant for last month’s revenue. Finance got $4.2M. Operations got $3.8M. The product team got $4.6M. Three different…
Reading Time: 17 minutesMost AI systems deployed inside enterprises today are built directly on top of raw data. They point an LLM at a warehouse schema and hope for the best. The results…
Reading Time: 10 minutesI am coming back with my quality writing after long period of pause, my last post was about Federated data in analytics platforms and today I am focusing on the…
Reading Time: 3 minutesHaving spent several years as an AI and Data Platform Architect, I’ve noticed that building federated analytics initiatives can feel a lot like organizing a family reunion—you desperately want everyone…
Reading Time: 11 minutesAgentic AI is the new focus in the evolving world of AI. Since agentic AI systems are independent agents that can reason, they are quite different compared to traditional AI…
Reading Time: 6 minutesEnhance LLMs with advanced data integration for powerful, context-aware applications! Introduction In the rapidly evolving field of artificial intelligence, Large Language Models (LLMs) have emerged as powerful tools for natural…
Reading Time: 4 minutesIncrease productivity of your data engineering team and optimize your delivery pace with the help of LLMs. The world of data is exploding, and data engineers are the wranglers wrangling…