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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. You ask the agent to Book a 5-day trip to Europe in January and we like warm weather.

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

Xebia

Google Cloud Next 2025 was a showcase of groundbreaking AI advancements. and the Live API Google continues to push the boundaries of AI with their latest “thinking model” Gemini 2.5. BigFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine. BigFrames 2.0

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Avnet CIO: Navigating the cloud and AI landscape with a practical approach

CIO

Two critical areas that underpin our digital approach are cloud and artificial intelligence (AI). Cloud and the importance of cost management Early in our cloud journey, we learned that costs skyrocket without proper FinOps capabilities and overall governance. That said, were not 100% in the cloud.

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How AI orchestration has become more important than the models themselves

CIO

Large language models (LLMs) just keep getting better. In just about two years since OpenAI jolted the news cycle with the introduction of ChatGPT, weve already seen the launch and subsequent upgrades of dozens of competing models. From Llama3.1 to Gemini to Claude3.5 In fact, business spending on AI rose to $13.8

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.

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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. Kevin Ichhpurani, president of global partner ecosystem with Google Cloud, shared an example of a mutual client and how EXL and Google have helped them with customer service agents.

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Agentic AI design: An architectural case study

CIO

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. If the LLM didn’t create enough output, the agent would need to run again.