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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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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. In 2025, data masking will not be merely a compliance tool for GDPR, HIPPA, or CCPA; it will be a strategic enabler.

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The key to operational AI: Modern data architecture

CIO

People : To implement a successful Operational AI strategy, an organization needs a dedicated ML platform team to manage the tools and processes required to operationalize AI models. To succeed, Operational AI requires a modern data architecture.

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How today’s enterprise architect juggles strategy, tech and innovation

CIO

Jenga builder: Enterprise architects piece together both reusable and replaceable components and solutions enabling responsive (adaptable, resilient) architectures that accelerate time-to-market without disrupting other components or the architecture overall (e.g. compromising quality, structure, integrity, goals).

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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy. Rich Tool Ecosystem: Equip agents with pre-built tools (Search, Code Execution), custom functions, third-party libraries (LangChain, CrewAI), or even other agents as tools. BigFrames 2.0

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

CIO

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. Technology modernization strategy : Evaluate the overall IT landscape through the lens of enterprise architecture and assess IT applications through a 7R framework.

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

CIO

Scalable data infrastructure As AI models become more complex, their computational requirements increase. For AI to be effective, the relevant data must be easily discoverable and accessible, which requires powerful metadata management and data exploration tools. Planned innovations: Disaggregated storage architecture.