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Reading Time: 3 minutes In today’s fast-paced, data-driven world, organizations are always looking for new ways to make the most of their data while keeping it accessible, secure, and cost-effective. That’s where combining a logical data abstraction layer with Snowflake’s powerful data capabilities comes…
Reading Time: 2 minutes Generative 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: 9 minutes The field of artificial intelligence (AI) is more exciting than ever. The climate is full of creativity and innovation, and we’re learning that large language models (LLMs) have capabilities we can exploit in many ways. In previous posts, I spoke…
Reading Time: 3 minutes Organizations of all sizes and types are harnessing large language models (LLMs) and foundation models (FMs) to build generative artificial intelligence (GenAI) applications that deliver enhanced customer and employee experiences. But to do so, AI application builders or citizen data…
Reading Time: 5 minutes GenAI is driving all kinds of innovations and new ways of working, and we have discovered that large language models (LLMs) are capable of some pretty amazing feats. In my last post I discussed how they can enable users to…
Reading Time: 6 minutes One of the most common deployments of the Denodo Platform in organizations across the globe is serving as a semantic layer that simplifies data consumption to increase self-service for business users. Three core ideas, working together, enable that scenario: The…
Reading Time: 5 minutes Generative AI has opened up new possibilities for organizations that want to be creative and fearless with their data. In my first post in this series, I introduced ways that data fabric and retrieval augmented generation (RAG) can support large…
Reading Time: 3 minutes Leveraging 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…
Reading Time: 4 minutes Providing timely, intuitive access to information has been top-of-mind for many companies, and their data professionals in particular. Over the past few decades, we have been storing up data and generating even more of it than we have known what…
Reading Time: < 1 minute In this post, I’m going to cover logical data management and its impact on data mesh architectures. But there’s a lot of confusion in the marketplace today between different types of architectures, specifically data mesh and data fabric, so I’ll…
