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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. An interactive chat interface allows deeper exploration of both the original document and generated content.

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The Real Reasons for Doing Test-Driven Development ??

Xebia

Why do people apply TDD? Here’s a secret: it’s not for the tests. Learn about the actual goal and values hidden under the surface of Test-Driven Development. What Are the Real Reasons for Doing TDD? Test-Driven Development (TDD) is a controversial topic amongst developers. Feedback on what?

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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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How IT leaders use agentic AI for business workflows

CIO

An AI briefer could inform a sales pipeline review process, for instance, or an AI trainer could simulate customer interactions as part of an onboarding program, he adds. Think summarizing, reviewing, even flagging risk across thousands of documents. Another area is democratizing data analysis and reporting.

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Technical Review: A Trusted Look Under the Hood

TechEmpower CTO

The answer is to engage a trusted outside source for a Technical Review – a deep-dive assessment that provides a C-suite perspective. At TechEmpower, we’ve conducted more than 50 technical reviews for companies of all sizes, industries, and technical stacks. A technical review can answer that crucial question.

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

AWS Machine Learning - AI

Mozart, the leading platform for creating and updating insurance forms, enables customers to organize, author, and file forms seamlessly, while its companion uses generative AI to compare policy documents and provide summaries of changes in minutes, cutting the change adoption time from days or weeks to minutes.

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Can AI solve your technical debt problem?

CIO

Old and poorly documented codebases are particularly daunting to refactor because they need to be understood before they can be disentangled. In one particularly challenging implementation, we confronted a legacy system encumbered with millions of lines of convoluted code and redundant modules, says Adnan Masood, chief AI architect at UST.