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Agentic AI design: An architectural case study

CIO

Let’s review a case study and see how we can start to realize benefits now. These might be self-explanatory, but no matter what, there must always be documentation of the system. Instead of directly having the LLM output test records, we would have the LMM output Python code. The only cost is the creation of the Python code.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. While useful, these tools offer diminishing value due to a lack of innovation or differentiation. This will fundamentally change both UI design and the way software is used.

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How MCP can revolutionize the way DevOps teams use AI

CIO

Traditionally, the main benefit that generative AI technology offered DevOps teams was the ability to produce things, such as code, quickly and automatically. MCP makes it possible to integrate AI into a wide variety of common DevOps workflows that extend beyond familiar use cases like code generation.

DevOps 198
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Technical Review: A Trusted Look Under the Hood

TechEmpower CTO

Many CEOs of software-enabled businesses call us with a similar concern: Are we getting the right results from our software team? We hear them explain that their current software development is expensive, deliveries are rarely on time, and random bugs appear. What does a business leader do in this situation?

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Can AI solve your technical debt problem?

CIO

Add outdated components or frameworks to the mix, and the difficulty to maintain the code compounds. Just as generative AI tools are fundamentally changing the ways developers write code, theyre being used to refactor code as well. Adding clarity to obscure code. Sniffing out code smells.

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From project to product: Architecting the future of enterprise technology

CIO

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform. The stakes have never been higher.