An investment and service company with international reach partnered with Keyrus to transform its client’s analytical capabilities through a bespoke data architecture design. As this forward-thinking ...

Abstract: Data mesh is an emerging decentralized approach to managing and generating value from analytical enterprise data at scale. It shifts the ownership of the data to the business domains closest ...

As the AI fervor continues to reshape how people see the world, 2025 looms as yet another year in the march toward technological advancement. While some worry about the dominance of technology in ...

SPONSORED POST: As organizations race to harness the potential of AI, many are discovering that their existing data architectures are struggling to keep up. Traditional warehouses and lakes often lack ...

Workload Discovery on AWS is a solution to visualize AWS Cloud workloads. With it you can build, customize, and share architecture diagrams of your workloads based on live data from AWS. The solution ...

Over 80 crypto and fintech executives asked the Trump administration to stop banks from levying data access fees, which threaten their business models. A group of crypto and fintech executives urged ...

Abstract: In Data Science, data modeling (including relational databases and big data) has traditionally used Entity-Relationship (ER) diagrams to represent structural characteristics of data. However ...

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Learn the quickest method to create stunning 3D architecture diagrams using Google Earth! This step-by-step tutorial is perfect for architects and designers who want fast, clear visuals for site ...

As debate continues over how data aggregators shuttle data between banks and fintechs, and whether banks should be allowed to charge aggregators for that data, a startup called Solo has built a ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.