Remove Examples Remove Software Review Remove System Design
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Agentic AI design: An architectural case study

CIO

An agent is part of an AI system designed to act autonomously, making decisions and taking action without direct human intervention or interaction. Let’s review a case study and see how we can start to realize benefits now. A new direction We shifted, threw the old design away and went in a completely different direction.

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

AWS Machine Learning - AI

Through advanced data analytics, software, scientific research, and deep industry knowledge, Verisk helps build global resilience across individuals, communities, and businesses. Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

For example, if ground truth is generated by LLMs before the involvement of SMEs, SMEs will still be needed to identify which questions are fundamental to the business and then align the ground truth with business value as part of a human-in-the-loop process. For our example, we work with Anthropics Claude LLM on Amazon Bedrock.

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How ML System Design helps us to make better ML products

Xebia

Table of Contents What is Machine Learning System Design? Design Process Clarify requirements Frame problem as an ML task Identify data sources and their availability Model development Serve predictions Observability Iterate on your design What is Machine Learning System Design?

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Why GreenOps will succeed where FinOps is failing

CIO

The cost-control focus fails to engage architects and engineers in rethinking how systems are designed, built and operated for greater efficiency. By integrating Green computing and GreenOps principles , enterprise architecture ensures that sustainability considerations are embedded at every stage of system design and operations.

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Securing Remote OT Operations:

Palo Alto Networks

Three-quarters of surveyed companies have already encountered these challenges due to OT-targeted cyber-attacks. For example, encrypting remote sessions is essential to safeguarding data confidentiality and integrity, particularly for older OT devices that may lack built-in encryption capabilities.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For example, a marketing content creation application might need to perform task types such as text generation, text summarization, sentiment analysis, and information extraction as part of producing high-quality, personalized content. An example is a virtual assistant for enterprise business operations.