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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 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 How we generate, manage, and consume energy is changing, especially in this volatile post-pandemic world. A sustainable utility future requires improved business resilience with the ability to quickly address new energy-transition requirements as well as increasing regulatory and political demands….
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…
