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Data Governance

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Data Governance: Actionable vs Declarative – Stratio’s Approach

In the evolving world of data management, two distinct approaches to data governance have emerged: declarative and actionable. This article explores the differences between actionable and declarative data governance in alignment with the Data Management Association’s (DAMA) framework. We’ll also explore the role of Stratio’s Generative AI Data Fabric in helping businesses transition from reactive to proactive data governance so they can more confidently adapt as their industry’s regulatory landscape evolves. If you want to…

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Enterprises are finding it difficult to use Generative AI tools securely and accurately. Here’s why. 

Generative AI transforms the daily life of individual users and businesses. It mimics human responses, intriguing C-suite with its possibilities to improve efficiency, productivity and quality of service. However, in a recent interview for Digital Transformation 2023 report by The Times, Oscar Mendez, CEO of Stratio BD, cautions businesses that generative AI tools are still in their infancy stage, and might not be robust and secure enough to find and maximise the wealth of data held internally…

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Data governance: the challenge of understanding the value of data and giving it business meaning

Representatives from Stratio BD, BBVA AI Factory and Bizum agree on the challenge and the need to work with data in real time with scalable solutions. In recent years, big data has become a powerful tool in all sectors – from marketing to healthcare. In marketing, for example, it is used to build targeted messages; in healthcare it is used to predict diseases and design personalised treatments; and in city traffic management it is used…

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