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Reading Time: 3 minutesSemantic models, logical data architectures, and why Denodo is the ideal companion for traditional AI, generative AI, and RAG Artificial intelligence has made extraordinary progress in recent years. From predictive models to generative systems capable of producing text, images, and…
Reading Time: 5 minutesThere is a lot of talk about data quality, but I often have the impression that this is done almost to exorcise it, to recognize its importance without delving into its complexities, or its real meaning. But this can result…
Reading Time: 2 minutesIn 2024, generative AI (GenAI) has entered virtually every sphere of technology. However, companies are still struggling to manage data effectively, to implement GenAI applications that deliver proven business value. Gartner predicts that by the end of this year, 30%…
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: 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…
Reading Time: 3 minutesThe field of public health has much to celebrate with the European Health Data Space (EHDS) regulation, which seeks to advance scientific research by making health data more accessible to researchers. In the same spirit as the EU Data Act,…
Reading Time: 2 minutesGenerative AI is rapidly transforming the data landscape, making it more important than ever to understand how to leverage this advanced technology into your organization. That’s why we created this series of posts exploring the powerful combination of data fabric,…
Reading Time: 2 minutesIn today’s data-driven landscape, the integration of raw source data into usable business objects is a pivotal step in ensuring that organizations can make informed decisions and maximize the value of their data assets. To achieve these goals, a well-structured…
Reading Time: 3 minutesEnvironmental, social, and corporate governance (ESG) issues are increasingly important as organizations strive to build their brand reputations and earn customer trust. ESG encompasses a wide range of principles, from sustainable financing to ethical practices, which go beyond traditional financial…
Reading Time: 3 minutesLeveraging enterprise data for generative AI and large language models presents significant challenges related to data silos, quality inconsistencies, privacy and security concerns, compliance with data regulations, capturing domain-specific knowledge, and mitigating inherent biases. Organizations must navigate the complexities of…
