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...
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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....
How data governance contributes to a data-driven culture
Building a data-driven culture is all about leveraging data to make decisions and solve problems. In such organizations, people rely on data to guide their actions. They ...
Nine Categories of Innovation-Driven Prompt Engineering
In my previous blog, “GenAI Maturity: From Productivity To Effectiveness,” I discussed the dramatic disparities between the organizational mindset of using Ge...
Boosting innovation initiatives with knowledge graphs
Image by Annette from Pixabay One of the common dilemmas in a typical large enterprise is that multiple groups from different geographies and business units are often spe...