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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. Cloud computing. Data streaming.

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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. This means that the infrastructure needs to provide seamless data mobility and management across these systems.

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Subspace Labs raises funding for a more scalable, sustainable blockchain

TechCrunch

Ethereum, for one, has announced plans to switch this year from its energy-intensive proof-of-work mechanism, which relies on mining rigs to validate transactions, to a more sustainable proof-of-stake system that allows users to help validate the network’s transactions by temporarily depositing, or staking, a certain amount of Ethereum tokens.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. This post guides you through implementing a queue management system that automatically monitors available job slots and submits new jobs as slots become available.

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Infinidat Recognizes GSI and Tech Alliance Partners for Extending the Value of Infinidat’s Enterprise Storage Solutions

Infinidat

Infinidat Recognizes GSI and Tech Alliance Partners for Extending the Value of Infinidats Enterprise Storage Solutions Adriana Andronescu Thu, 04/17/2025 - 08:14 Infinidat works together with an impressive array of GSI and Tech Alliance Partners the biggest names in the tech industry. Its tested, interoperable, scalable, and proven.

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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 If you have a broken wheel, you want to know right now,” he says. “We

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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.