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Agentic AI design: An architectural case study

CIO

Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. He believes these agentic systems will make that possible, and he thinks 2025 will be the year that agentic systems finally hit the mainstream. They have no goal.

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Why GreenOps will succeed where FinOps is failing

CIO

Capital One built Cloud Custodian initially to address the issue of dev/test systems left running with little utilization. The result was a compromised availability architecture. Architects must combine functional requirements with multiple other long-term requirements to build sustainable systems. Neglecting motivation.

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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.

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Police Reform and Systems Design in 5 Clear Points

Scott Berkun

That word, system , is one that designers know well. Systems theory is its own subject, as are police history and police reform, but I haven’t seen them brought together in a simple way that most people can grasp. Civilian review boards rarely have power.

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

CIO

It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective. First, the mean part.

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

AWS Machine Learning - AI

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. Generative AI question-answering applications are pushing the boundaries of enterprise productivity.

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

AWS Machine Learning - AI

In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline. Data: Policy forms Mozart is designed to author policy forms like coverage and endorsements. The following diagram illustrates the solution architecture.