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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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Laying the Foundation for Modern Data Architecture

Cloudera

Behind every business decision, there’s underlying data that informs business leaders’ actions. It’s not enough for businesses to implement and maintain a data architecture. Modern Data Architectures are Ready for the Future There is an important distinction between data architecture and modern data architecture.

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Eight Top DataOps Trends for 2022

DataKitchen

Data Gets Meshier. 2022 will bring further momentum behind modular enterprise architectures like data mesh. The data mesh addresses the problems characteristic of large, complex, monolithic data architectures by dividing the system into discrete domains managed by smaller, cross-functional teams.

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Big Data Opportunity in Manufacturing

TDAN

Defined as information sets too large for traditional statistical analysis, Big Data represents a host of insights businesses can apply towards better practices. In manufacturing, this means opportunity. But what exactly are the opportunities present in big data?

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Achieving Trusted AI in Manufacturing

Cloudera

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits.

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The Struggle Between Data Dark Ages and LLM Accuracy

Cloudera

The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. AI is only as successful as the data behind it. But 85% accuracy in the supply chain means you have no manufacturing operations. These are all minor.

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Making OT-IT integration a reality with new data architectures and generative AI

CIO Business Intelligence

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.