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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: 3 minutes Environmental, 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: 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: 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 Denodo was recognized as a Leader in the 2023 Gartner Magic Quadrant™ for Data Integration report, marking the fourth year in a row that Denodo has been recognized as such. I want to highlight the first of three strategic planning…
Reading Time: 3 minutes Today, data is the lifeblood that can dictate the difference between success or failure. However, becoming truly data-driven remains an elusive goal for many. This gap between aspiration and reality is not for lack of effort; it stems from the…
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: 3 minutes Recently, I was fortunate enough to get some time with the CIO of a mid-sized financial services company. When I asked him what his most pressing priority was for 2024, he answered, “taming the data storm.” CIOs are no longer viewed…
Reading Time: 3 minutes More and more companies are managing messages and events in real time using tools like Apache Kafka. Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential. It can benefit the management of microservices,…
Reading Time: 4 minutes Organizations are constantly striving to harness the power of their data assets to make informed decisions and gain a competitive edge. This is why data mesh has emerged as a revolutionary approach to managing and scaling data infrastructure. Data mesh…
