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Reading Time: 2 minutes When 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 minutes The 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 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: 5 minutes For years, organizations have been managing data by consolidating it into a single data repository, such as a cloud data warehouse or data lake, so it can be analyzed and delivered to business users. Unfortunately, organizations struggle to get this…
Reading Time: 5 minutes The data landscape has evolved and become more complex as organizations recognize the need to leverage data and analytics. Generative artificial intelligence has further put pressure on organizations to manage this complexity. At TDWI, we see companies collecting traditional structured…
Reading Time: 3 minutes In this era of data democratization, organizations are aggressively pursuing data self-service initiatives to empower users across departments with seamless access to data. However, many are not factoring in the needs of a new digital stakeholder: generative artificial intelligence (GenAI)…
Reading Time: 2 minutes The Denodo Platform’s integration with the Snowflake Arctic large language model (LLM) is paving the way for advanced retrieval augmented generation (RAG) applications that combine the power of LLMs with efficient information retrieval. At the Snowflake Data Cloud Summit 2024…
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: 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…
