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Reading Time: 3 minutes Generative artificial intelligence (Generative AI) represents a transformative leap forward in AI, offering businesses unprecedented opportunities to innovate, optimize, and engage. This cutting-edge technology, capable of generating outputs such as text, images, music, and other media, is already reshaping industries…
Reading Time: 3 minutes One of the biggest frustrations across the board in healthcare and clinical research is poor quality data. High quality data is essential for clinical trials, as well as for improving healthcare for patients. But all too often, clinical researchers are…
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: 6 minutes The emergence of Large Language Models (LLMs) and Generative AI marks a significant leap in technology, promising to deliver transformational automation and innovation across diverse industries and use cases. Having said that, as everyone races to develop next generation AI…
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: 3 minutes Last year, I was involved in a proof-of-concept (POC) in a major financial institution. It was mid-2023, and Generative artificial intelligence (Gen AI) was already reaching what’s known as Gartner’s ‘peak of inflated expectations.’ The POC was for a data…
Reading Time: 4 minutes These days, artificial intelligence (AI) and machine learning (ML) seem to be everywhere around us, answering questions, designing components, and even driving cars. Can they also help with data virtualization? For sure. But first, let’s make sure that when we…
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: 5 minutes In today’s rapidly evolving healthcare landscape, the ability to effectively integrate and analyze data is crucial for delivering high-quality care and advancing medical research. In this post, I’ll explore the challenges of unlocking healthcare data and the potential of logical…
