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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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AI coding assistants wave goodbye to junior developers

CIO

Despite mixed early returns , the outcome appears evident: Generative AI coding assistants will remake how software development teams are assembled, with QA and junior developer jobs at risk. AI will handle the rest of the software development roles, including security and compliance reviews, he predicts. “At

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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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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

Review the source document excerpt provided in XML tags below - For each meaningful domain fact in the , extract an unambiguous question-answer-fact set in JSON format including a question and answer pair encapsulating the fact in the form of a short sentence, followed by a minimally expressed fact extracted from the answer.

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Unit 42 Predicts the Year of Disruption and Other Top Threats in 2025

Palo Alto Networks

Additionally, the cost of cyber disruption will increase next year as businesses experience downtime due to cyberattacks and scramble to implement defenses fit for the AI-enabled attacker era. This interdependence makes it difficult to track and mitigate risks, allowing a single flaw to potentially affect an entire software ecosystem.

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Why GreenOps will succeed where FinOps is failing

CIO

Driving optimization and efficiency using FinOps fails not due to insufficient tools, processes or controls, but because it does not motivate architects and engineers to embrace the necessary work. A more compelling driver like addressing climate change is needed. Long-term value creation.