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7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time.

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SONiC pioneer Aviz Networks raises $17M for AI network management push

Network World

Networking software provider Aviz Networks today announced a $17 million Series A funding round to accelerate its growth in open networking solutions and artificial intelligence capabilities. He explained that the ASIC architecture is different between different vendors such as Cisco, Marvell and Nvidia.

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Cisco takes inspiration from Iron Man for its AI-driven platform engineer

Network World

Under the hood, it uses a LangGraph architecture with supervised, specialized, and reflection agents working together in feedback loops. The JARVIS architecture aligns with Cisco Outshifts Internet of Agents and recently announced AGNTCY (pronounced agency) initiative. The evolution path for JARVIS directly aligns AGNTCY.

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Edgecore unveils high-performance 400G spine switch for data centers

Network World

This new hardware offering aims to address the increasing demands of modern computing infrastructures, particularly in the realms of cloud computing and artificial intelligence. Sharma added that hyperscale architecture is typically based on Layer-3 features and BGP. Read more networking news Ciena and Arelion achieve 1.6

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Mastering technology modernization: 6 steps for building your road map

CIO Business Intelligence

The topics of technical debt recognition and technology modernization have become more important as the pace of technology change – first driven by social, mobile, analytics, and cloud (SMAC) and now driven by artificial intelligence (AI) – increases. Which are not longer an architectural fit? Which are obsolete?

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

CIO Business Intelligence

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. Imagine that you’re a data engineer.

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How to prioritize AI initiatives: A strategic framework for maximizing ROI

CIO Business Intelligence

This quote sums up the need for companies to prioritize artificial intelligence (AI) initiatives and also captures the state of the AI race today. fact, China just unveiled DeepSeek with an advanced DeepSeek-R1 open-source, open-weight model that runs on a fraction of compute power used by ChatGPT, Anthropic and Gemini models.

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