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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. Relying too much on one platform (or embracing too many) The simplest way to build out enterprise software is to leverage the power of various tools, portals, and platforms constructed by outsiders.

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My API story: Vodafone's API Architecture Guild

TM Forum

I am part of the Digital, BSS & APIs architecture team in Vodafone, focusing on APIs standardization, strategy, and roadmaps. In my role, I'm currently leading a distributed architecture function called the API Architecture Guild. Florin Tene, Vodafone. external_url.

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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.” The company isn’t building its own discrete AI models but is instead harnessing the power of these open-source AIs.

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Nvidia contributes Blackwell rack design to Open Compute Project

Network World

In the competitive world of enterprise IT vendors, it may be a surprise that some companies are freely sharing their designs, but that’s exactly what the 50-plus voting members and more than 300 community members and startups, including the major hyperscalers and chipmakers, of the Open Compute Project (OCP) foundation are doing.

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Navigate AI market uncertainty by bringing AI to your data

CIO Business Intelligence

Meanwhile, hyperscalers engaged in an AI arms race are investing in global datacenter construction infrastructure buildouts and stockpiling GPU chips in service of LLMs, as well as various chat, copilot, tools, and agents that comprise current GenAI product categories.

Data 121
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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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Mastering machine learning deployment: 9 tools you need to know

Dataconomy

From cloud-based services to open-source frameworks, these tools offer a range of features and functionalities to cater to different deployment needs. Understanding machine learning deployment architecture Machine learning model deployment architecture refers to the design pattern or approach used to deploy a machine learning model.

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