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
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… Read More »Optimizing model training: Strategies and challenges in artificial intelligence
There are many ways to define “top influencer”. You may just ask OpenAI to get a list: see results in Figure 1. However, it states… Read More »Top AI Influencers to Follow in 2024
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… Read More »Losing control of your company’s data? You’re not alone
Big data analytics empowers organizations to get valuable insights from vast and intricate data sets, offering a pathway to improved decision-making, excellent performance, and competitive… Read More »How to implement big data for your company
Background We follow on from the last post and explore the limitations of RAG and how you can overcome these limitations using the idea of… Read More »Understanding GraphRAG – 2 addressing the limitations of RAG
Payment fraud is a significant issue for banks, customers, government agencies and others. However, advanced predictive analytics tools can reduce or eliminate it. Minimizing false… Read More »How predictive analytics improves payment fraud detection
