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CIO metrics are failing digital transformation; it’s time to radically rethink success

CIO

However, the metrics used to evaluate CIOs are hindering progress. While the CIO role has expanded significantly, the metrics used to evaluate their performance often remain tied to traditional IT values like cost management, operational efficiency, and system uptime. The CIO is no longer the chief of “keeping the lights on.”

Metrics 192
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Benchmark Metrics to Improve Your Recruiting Funnel

Hacker Earth Developers Blog

This is where benchmarking metrics for your recruiting funnel come into play. By measuring the right metrics at each stage of the funnel, you can make data-driven decisions that improve your overall recruitment strategy. Its a critical metric because it helps identify how efficient your recruiting process is.

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With critical thinking in decline, IT must rethink application usability

CIO

Usability in application design has historically meant delivering an intuitive interface design that makes it easy for targeted users to navigate and work effectively with a system. Together these trends should inspire CIOs and their application developers to look at application usability though a different lens.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In this post, we set up the custom solution for observability and evaluation of Amazon Bedrock applications.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

AWS Machine Learning - AI

Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle.

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4 SaaS engagement metrics that attract investors

TechCrunch

Let’s see what engagement metrics gain the most significant interest from investors. Engagement over long periods at the end of a subscription There are many engagement metrics to look at. The obvious metric to review is how often your user opens the app toward the end of the period in question.

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Achieving Elite and High Performance DevOps Using DORA Metrics

Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar

DevOps Research and Assessment (DORA) has identified four key metrics to help organizations understand where their DevOps stands and how it can reach an elite level of performance. It’s an approach to maintaining and updating software applications that allows for faster deployments, fewer errors, and quicker fixes to problems.

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Monitoring AWS Container Environments at Scale

Containers power many of the applications we use every day. Key metrics to monitor when leveraging two container orchestration systems. How you can collect all of those metrics and get full-stack visibility into containerized environments.