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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. Ensure security and access controls.

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The key to operational AI: Modern data architecture

CIO

Technology: The workloads a system supports when training models differ from those in the implementation phase. To succeed, Operational AI requires a modern data architecture. However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure.

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Agentic AI design: An architectural case study

CIO

Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. He believes these agentic systems will make that possible, and he thinks 2025 will be the year that agentic systems finally hit the mainstream. They have no goal.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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Technical Review: A Trusted Look Under the Hood

TechEmpower CTO

The answer is to engage a trusted outside source for a Technical Review – a deep-dive assessment that provides a C-suite perspective. At TechEmpower, we’ve conducted more than 50 technical reviews for companies of all sizes, industries, and technical stacks. A technical review can answer that crucial question.

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Security is dead: Long live risk management

CIO

Unfortunately, many organizations still approach information security this way waiting until development is nearly complete before conducting security reviews, penetration tests, and compliance checks. This means creating environments that enable secure development while ensuring system integrity and regulatory compliance.

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AI & the enterprise: protect your data, protect your enterprise value

CIO

Maintaining a clear audit trail is essential when data flows through multiple systems, is processed by various groups, and undergoes numerous transformations. Advanced anomaly detection systems can identify unusual patterns in data access or modification, flag potential security breaches, or locate data contamination events in real-time.