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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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From project to product: Architecting the future of enterprise technology

CIO

In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform. This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. The stakes have never been higher.

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Data Minimization as Design Guideline for New Data Architectures

Data Virtualization

The post Data Minimization as Design Guideline for New Data Architectures appeared first on Data Virtualization blog. It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a.

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Enter the next phase of Industry 4.0 with edge AI

CIO

Generally speaking, a healthy application and data architecture is at the heart of successful modernisation. Combined with using templates and architectural guidelines, this collaborative approach can be followed successfully through the whole modernisation process. Learn more about NTT DATA and Edge AI

Industry 183
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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. 9 questions to ask yourself when planning your ideal architecture.

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

CIO

With data existing in a variety of architectures and forms, it can be impossible to discern which resources are the best for fueling GenAI. With the right hybrid data architecture, you can bring AI models to your data instead of the other way around, ensuring safer, more governed deployments.

Data 147
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FinOps SaaS: The missing piece of the puzzle

CIO

Understanding this complexity, the FinOps Foundation is developing best practices and frameworks to integrate SaaS into the FinOps architecture. Following the audit, it is crucial to create and implement governance guidelines for the organisation’s use, management, and acquisition of SaaS.

Cloud 173