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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

For MCP implementation, you need a scalable infrastructure to host these servers and an infrastructure to host the large language model (LLM), which will perform actions with the tools implemented by the MCP server. We will deep dive into the MCP architecture later in this post.

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

CIO

It has become a strategic cornerstone for shaping innovation, efficiency and compliance. From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability.

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AI in action: How enterprises are scaling AI for real business impact

CIO

To capitalize on the enormous potential of artificial intelligence (AI) enterprises need systems purpose-built for industry-specific workflows. Strong domain expertise, solid data foundations and innovative AI capabilities will help organizations accelerate business outcomes and outperform their competitors.

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

CIO

Innovator/experimenter: enterprise architects look for new innovative opportunities to bring into the business and know how to frame and execute experiments to maximize the learnings. to identify opportunities for optimizations that reduce cost, improve efficiency and ensure scalability.

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IT leaders see big business potential in small AI models

CIO

Small language models (SLMs) are giving CIOs greater opportunities to develop specialized, business-specific AI applications that are less expensive to run than those reliant on general-purpose large language models (LLMs). Cant run the risk of a hallucination in a healthcare use case.

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

Xebia

It also supports the newly announced Agent 2 Agent (A2A) protocol which Google is positioning as an open, secure standard for agent-agent collaboration, driven by a large community of Technology, Platform and Service partners. Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy.

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.