Remove Generative AI Remove Systems Review Remove Technical Review
article thumbnail

Can AI solve your technical debt problem?

CIO

IT leaders know they must eventually deal with technical debt, but because addressing it doesnt always directly result in increased revenue or new capabilities, it can be difficult to get business management to take it seriously. And that has significant implications for how IT shops can approach technical debt.

article thumbnail

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. In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. That’s what we call an AI software engineering agent.

article thumbnail

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

AWS Machine Learning - AI

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks. The new Mozart companion is built using Amazon Bedrock.

article thumbnail

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Consider a global retail site operating across multiple regions and countries.

article thumbnail

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. These AI-based tools are particularly useful in two areas: making internal knowledge accessible and automating customer service. An overview. An LLM can do that too.

article thumbnail

10 AI strategy questions every CIO must answer

CIO

What are we trying to accomplish, and is AI truly a fit? ChatGPT set off a burst of excitement when it came onto the scene in fall 2022, and with that excitement came a rush to implement not only generative AI but all kinds of intelligence. And the tech side of the house should push to make sure theres clarity on this.

Strategy 211