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What is data architecture? A framework to manage data

CIO

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. It includes data collection, refinement, storage, analysis, and delivery. Cloud storage. Choose the right tools and technologies.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

The data is spread out across your different storage systems, and you don’t know what is where. Scalable data infrastructure As AI models become more complex, their computational requirements increase. As the leader in unstructured data storage, customers trust NetApp with their most valuable data assets.

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Subspace Labs raises funding for a more scalable, sustainable blockchain

TechCrunch

million to further develop an entirely new blockchain that aims to balance scalability, security and sustainability , its co-founder and CEO Jeremiah Wagstaff told TechCrunch in an interview. are more scalable than their older counterparts, they still make security and decentralization tradeoffs inherent to the proof-of-stake system.

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Gartner projects major IT spending increases for 2025

CIO

The company also plans to increase spending on cybersecurity tools and personnel, he adds, and it will focus more resources on advanced analytics, data management, and storage solutions. We’re consistently evaluating our technology needs to ensure our platforms are efficient, secure, and scalable,” he says.

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Storage: The unsung hero of AI deployments

CIO

As enterprises begin to deploy and use AI, many realize they’ll need access to massive computing power and fast networking capabilities, but storage needs may be overlooked. In that case, Duos needs super-fast storage that works alongside its AI computing units. “If It really comes down to using the right tool for the right job.”

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9 IT skills where expertise pays the most

CIO

As one of the most sought-after skills on the market right now, organizations everywhere are eager to embrace AI as a business tool. It enables developers to create consistent virtual environments to run applications, while also allowing them to create more scalable and secure applications via portable containers.

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Unlocking the full potential of enterprise AI

CIO

These narrow approaches also exacerbate data quality issues, as discrepancies in data format, consistency, and storage arise across disconnected teams, reducing the accuracy and reliability of AI outputs. Reliability and security is paramount. Without the necessary guardrails and governance, AI can be harmful.