Remove Metrics Remove Software Review Remove Trends
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TechCrunch+ roundup: Deep due diligence, early Q1 2023 VC results, flight lessons for angels

TechCrunch

Full TechCrunch+ articles are only available to members Use discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription Business schools teach the basics, but Mysty Rusk, who’s reviewed around 4,500 deals over the last 20 years, says the most important lessons she learned were the result of mistakes she made along the way.

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5 tips for better business value from gen AI

CIO

For example, developers using GitHub Copilots code-generating capabilities have experienced a 26% increase in completed tasks , according to a report combining the results from studies by Microsoft, Accenture, and a large manufacturing company. These reinvention-ready organizations have 2.5 times higher revenue growth and 2.4

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7 signs it’s time to modernize your IT systems

CIO

This is true whether it’s an outdated system that’s no longer vendor-supported or infrastructure that doesn’t align with a cloud-first strategy, says Carrie Rasmussen, CIO at human resources software and services firm Dayforce. He recommends building a user feedback loop and carefully studying satisfaction metrics.

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Why Testing is No Longer Sufficient for Today’s Software Delivery Pipelines

OverOps

The move to innovate at speed and scale is stressing software quality and exposing the limitations of testing. Don’t get me wrong – testing in all its forms is inseparable from the software delivery supply chain. Over a decade ago, when Test-Driven Development (TDD) was introduced, it promised to improve productivity and quality.

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Agentic AI design: An architectural case study

CIO

In 2024, a new trend called agentic AI emerged. Let’s review a case study and see how we can start to realize benefits now. Instead of directly having the LLM output test records, we would have the LMM output Python code. That Python code could be run separately from the agentic AI system that is creating it.

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How to Measure the Effectiveness of Recruitment and Selection Process

Hacker Earth Developers Blog

The key lies in using data-driven insights, evaluating key metrics, and continually optimizing the process. Time to Hire One of the most commonly used metrics to evaluate recruitment effectiveness is the “Time to Hire” (TTH). This metric tracks the amount of time it takes to move a candidate from application to hire.

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When is data too clean to be useful for enterprise AI?

CIO

For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine. We’re looking at a general geographical area to see what the trend might be.

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