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What is data architecture? A framework to manage data

CIO

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. Cloud storage. Cloud computing.

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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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The Week’s Biggest Funding Rounds: Data Storage And Lots Of Biotech

Crunchbase News

DDN , $300M, data storage: Data is the big-money game right now. Private equity giant Blackstone Group is making a $300 million strategic investment into DDN , valuing the Chatsworth, California-based data storage company at $5 billion. However, as usual, a company with AI ties is on top.

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Simplify your storage management by leveraging a universal storage layer

CIO

In today’s IT landscape, organizations are confronted with the daunting task of managing complex and isolated multicloud infrastructures while being mindful of budget constraints and the need for rapid deployment—all against a backdrop of economic uncertainty and skills shortages.

Storage 167
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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. Keeping business and customer data secure is crucial for organizations, especially those operating globally with varying privacy and compliance regulations.

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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. Maximizing GPU use is critical for cost-effective AI operations, and the ability to achieve it requires improved storage throughput for both read and write operations. How did we achieve this level of trust? Through relentless innovation.

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Are enterprises ready to adopt AI at scale?

CIO

In fact, a recent Cloudera survey found that 88% of IT leaders said their organization is currently using AI in some way. Barriers to AI at scale Despite so many organizations investing in AI, the reality is that the value derived from those solutions has been limited.