The intersection of big data, AI, and EPOS: A new era of retail intelligence
In today’s fast-paced retail environment, the buzzwords “big data” and “AI” are not just jargon—they’re game changers. And when you mix in the capabilities ...
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History and Future of LLMs
LLMs are marvels of modern technology. They’re complex in their function, massive in size, and enable groundbreaking advancements. Go over the history and future of LLM...
Exploring cutting-edge data analytics technology
In today’s digitized environment, the importance of data analytics as a tool for informed decision-making and strategic planning is paramount. From large corp...
How machine learning detects credit card fraud
Credit card fraud is a growing problem that affects millions worldwide and costs businesses billions of dollars every year. As fraudsters become more sophisticated, tradi...
Reverse ETL in healthcare: Enhancing patient data management
Managing patient data is a massive challenge in healthcare due to the large amounts of information involved. Reverse ETL is a modern data integration method that can help...
Synergy of Generative, Analytical, Causal, and Autonomous AI
The current fascination with Generative AI (GenAI) – especially as manifested by OpenAI’s ChatGPT – has raised public awareness of Artificial Intelligence (AI) and ...
Enhancing data governance with AI: From theory to practice
Data governance, which encompasses the policies, standards, and procedures that ensure the proper management of data throughout its lifecycle, is essential for maintainin...
How a data analyst career can be stressful
Today businesses increasingly rely on data-driven insights for strategic decisions, making data analysts hold the critical responsibility of scrutinizing and interpreting...
RAG and its evolution
Retrieval Augmented Generation (RAG) is becoming a platform in its own right. In this and the following post, we explore the foundations and more importantly, the evoluti...
Why the newest LLMs use a MoE (Mixture of Experts) architecture
Mixture of Experts (MoE) architecture is defined by a mix or blend of different "expert" models working together to complete a specific problem....