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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.

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Are enterprises ready to adopt AI at scale?

CIO

To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. Another challenge here stems from the existing architecture within these organizations.

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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?

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AI’s data problem: How to build the right foundation

CIO

Yet, as transformative as GenAI can be, unlocking its full potential requires more than enthusiasm—it demands a strong foundation in data management, infrastructure flexibility, and governance. Trusted, Governed Data The output of any GenAI tool is entirely reliant on the data it’s given.

Data 147
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Trade routes of the digital age: How data gravity shapes cloud strategy

CIO

In the digital world, data integrity faces similar threats, from unauthorized access to manipulation and corruption, requiring strict governance and validation mechanisms to ensure reliability and trust. In addition to edge computing, businesses should implement data replication and federated cloud storage strategies.

Strategy 134
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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective.

Cloud 147
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IT leaders brace for the AI agent management challenge

CIO

Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes. Building trust through human-in-the-loop validation and clear governance structures is essential to establishing strict protocols that guide safer agent-driven decisions.