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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects.

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The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

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Are enterprises ready to adopt AI at scale?

CIO Business Intelligence

The path to achieving AI at scale is paved with myriad challenges: data quality and availability, deployment, and integration with existing systems among them. Another challenge here stems from the existing architecture within these organizations. Building a strong, modern, foundation But what goes into a modern data architecture?

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Creating an AI-Ready Data Architecture in the Cloud

Corinium

But the data architectures that feed into them are just as vital. So, it should be no surprise that the world’s most advanced AI-using enterprises are using the technology to automate the process of experimenting with and scaling AI itself. Automation is what AI algorithms do best.

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The Difference Between Data Architecture and Enterprise Architecture

erwin

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. The Value of Data Architecture. Data Architecture and Data Modeling.

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Bringing scalable real-time analytics to the enterprise

O'Reilly on Data

Borthakur was the founding engineer of HDFS and creator of RocksDB , while Bhat is an experienced product and marketing executive focused on enterprise software and data products. Continue reading Bringing scalable real-time analytics to the enterprise.

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Trends in Establishing a Data-Driven Enterprise

Corinium

Organizations aiming to become data-driven need to overcome several challenges, like that of dealing with distributed data or hybrid operating environments. What are the key trends in companies striving to become data-driven. Get the report today!