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This page contains all posts under Technology category from the DataVirtualizationBlog.com
Reading Time: 3 minutesMost people who are knowledgeable about how software works are familiar with the phrase “garbage in, garbage out.” This means that the quality and accuracy of the output generated by an application will be only as good as the input…
Reading Time: 6 minutesIn the realm of retail banking, data-driven insights reveal what customers do, but they often fail to capture why they make certain decisions. This “why” encompasses the psychological drivers—like loss aversion, herd mentality, and emotional biases—that significantly shape financial behaviors….
Reading Time: 8 minutesThese are exciting yet challenging times, especially in the data space. Generative AI (GenAI), with its challenges, brought hope in a new reality of what could become of our data. There is still some hard work ahead, but now we…
Reading Time: 3 minutesGartner® Hype Cycle™ provides a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities. Gartner Hype Cycle methodology provides a view of how…
Reading Time: 6 minutesToday, it has become widely accepted that large language models (LLMs), on their own, are insufficient to enable intelligent AI agents that can deliver real value within an enterprise context. Rather, it is only by integrating and augmenting LLMs with…
Reading Time: 3 minutesThe highly anticipated Denodo Agora (managed SaaS solution) on the AWS Marketplace is now generally available. Denodo has been supporting our joint customers to get the most from their investments. and with the introduction of Agora, organizations can now more…
Reading Time: 8 minutesIt’s an interesting question. After doing extensive research on AI readiness, I found myself trying to understand what the experts had to say on the matter. One surprising statistic from the Rand Corporation is that 80% of artificial intelligence (AI)…
Reading Time: 5 minutesAt Denodo, we have always believed that AI-based assistance holds tremendous potential to simplify and democratize data management. With the development of large language models (LLMs) and other generative AI (GenAI) technologies in recent years, we have doubled our efforts…
Reading Time: 6 minutesThe rapid advancement of technology in recent years has dramatically transformed the landscape of enterprise operations. This transformation can be encapsulated in the evolution of the Agentic AI Model as defined by Carmen Di Nardo in “From deterministic robots to…
Reading Time: 2 minutesWhen making decisions that are critical to national security, governments rely on data, and those that leverage the cutting edge technology of generative AI foundation models will have a distinct advantage over their adversaries. Pros and Cons of generative AI…
