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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. Investment in training and change management is critical to the success.

Cloud 147
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Why GreenOps will succeed where FinOps is failing

CIO

This surge is driven by the rapid expansion of cloud computing and artificial intelligence, both of which are reshaping industries and enabling unprecedented scalability and innovation. Implementing GreenOps and sustainable architectures requires significant upfront costs for tools, training and process changes. Short-term focus.

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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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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. This specialized LLM, which can be trained on nuanced distinctions within its domain, can then determine crucial factors such as task complexity or urgency.

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New live online training courses

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. Scalable Data Science with Apache Hadoop and Spark , July 16.

Course 93
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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Much like traditional business process automation through technology, the agentic AI architecture is the design of AI systems designed to resolve complex problems with limited or indirect human intervention. Conversely, asynchronous event-driven systems offer greater flexibility and scalability through their distributed nature.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Its important that Verisk makes sure the data that is shared by the FM is transmitted securely and the FM doesnt retain any of their data or use it for its own training. He helps financial services customers accelerate their adoption of the AWS Cloud by providing architectural guidelines to design innovative and scalable solutions.