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6 deadly sins of enterprise architecture

CIO Business Intelligence

For all its advances, enterprise architecture remains a new world filled with tasks and responsibilities no one has completely figured out. Storing too much (or too little) data Software developers are pack rats. Some of this is due to the highly technical and complex nature of the job. No one knows anything.

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Scale and Speed with Cyber Security

CTOvision

Bureaucracies exist to ensure continuity of purpose within a construct of organizational processes and since they are filled with and designed by people, aren’t able to radically evolve to meet new threats or fill new operating environments. Out of all the problems to deal with subverting bureaucracy to enable security scaling is the hardest.

Security 271
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Multicloud: Tips for getting it right

CIO Business Intelligence

This is useful, for example, when setting up staging environments that are needed at different stages in the software development process. It is useful, for example, when developing cloud applications in highly regulated industries such as banking and insurance, aerospace, utilities and automotive.

Cloud 179
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5 best practices for digital twin implementation

CIO Business Intelligence

Start the design, build, operate lifecycle now Rather than wait until post-build, consider initiating digital twins during the planning, design, and construction phases of your projects. Part of the benefit of digital twins is they can address the full lifecycle from construction twins to operational twins.

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Thinking of building your own AI agents? Don’t do it, advisors say

CIO Business Intelligence

The challenge is that these architectures are convoluted, requiring multiple models, advanced RAG [retrieval augmented generation] stacks, advanced data architectures, and specialized expertise.” Reinventing the wheel is indeed a bad idea when it comes to complex systems like agentic AI architectures,” he says.

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Prioritizing AI investments: Balancing short-term gains with long-term vision

CIO Business Intelligence

If we revisit our durable goods industry example and consider prioritizing data quality through aggregation in a multi-tier architecture and cloud data platform first, we can achieve the prerequisite needed to build data quality and data trust first. Use case runners-up include software development and code generation (e.g.,

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How a cloud-first enterprise application strategy boosts speed and scale for your business

CIO Business Intelligence

A cloud-first approach also elevates software development practices, accelerating product release cycles and allowing for testing on a wider range of product possibilities, says Nikolay Ganyushkin , CEO & co-founder of Acure. Cloud Architecture, Enterprise Applications Faster time to market.