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Data Mesh Primer – Part 4: Real-Life Example

Here are Four Companies That Are Using or Trying to Incorporate Data Mesh 1.     Intuit Zhamak Dehghani’s data mesh concept caught the eye of Intuit, a global tech platform that creates business software for individuals, accountants, and small businesses. As such, the company has endeavored to apply its own data mesh strategy to its data …

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Data Mesh Primer – Part 3: Key Considerations Before Implementation

Before fully embracing data mesh for your organization, take note of a few key considerations. In this article, we’ll discuss the things you should take into account, as well as share real-life examples of companies that are leveraging the capabilities of data mesh. Four Key Considerations Prior to Implementing Data Mesh Within Your Organization 1.     …

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Data Mesh Primer – Part 2: A deeper Look

In part one of this series, we gave a general introduction to Data Mesh and why should organizations consider using this new technology. Today, we’ll continue exploring. Data Mesh vs. Data Fabric A data fabric is one approach to data integration that allows for data orchestration, while a data mesh follows a decentralized data architecture …

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Data Mesh Primer – Part 1: An Introduction

Data is a key driver of progress and innovation. In an ideal setting, it should be scalable and accessible. As organizations expand their operations, there’s also a growing need to better manage and utilize all your available data. However, your current data architecture may be preventing you from effectively and efficiently utilizing data and making …

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Strategies for Trustworthy AI Selection and Building Team Trust

AI systems are evolving at neck-breaking speeds. They aren’t just handling human tasks more efficiently, they also take on responsibilities that we can’t do. Such roles include providing relevant and instant recommendations to consumers or reviewing and approving hundreds of bank transactions at once. Moreover, there’s a growing need for automated systems to help industries …

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4 Ways Adaptive AI is Optimizing Data

Traditional AI solutions are built on models that learn how to handle data in a certain way for real-world applications. Models generally consist of a training channel for collecting and grouping data and a prediction channel that establishes patterns as it analyzes these data. However, these models are fixed or static, so they either become …

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