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Five Modern Data Architecture Trends

David Menninger's Analyst Perspectives

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data.

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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. Denso uses AI to verify the structuring of unstructured data from across its organisation.

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Data architecture strategy for data quality

IBM Big Data Hub

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

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Huawei unveils four strategic directions for the future of finance

CIO Business Intelligence

Cao emphasized the role of high and low code technologies to take advantage of these microservices in “composable service delivery”, which enables the rapid development of tailored products and services. Mr. Cao noted the specific problem of unstructured data. “A Huawei’s new Data Intelligence Solution 3.0

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Building resilient infrastructure: the key to cloud-native, real-time decision-making

CIO Business Intelligence

Cao emphasized the role of high and low code technologies to take advantage of these microservices in “composable service delivery”, which enables the rapid development of tailored products and services. Mr. Cao noted the specific problem of unstructured data. “A Huawei’s new Data Intelligence Solution 3.0

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Accelerating generative AI requires the right storage

CIO Business Intelligence

What does this have to do with technology? Unstructured data needs for generative AI Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.” In addition, managing the data created by generative AI models is becoming a crucial aspect of the AI lifecycle.