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Beyond “Prompt and Pray”

O'Reilly on Data

This approach delivers substantial benefits: consistent execution, lower costs, better security, and systems that can be maintained like traditional software. 90% accuracy for software will often be a deal-breaker, but the promise of agents rests on the ability to chain them together: even five in a row will fail over 40% of the time!

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Top Productivity Metrics Examples & KPIs To Measure Performance And Outcomes

datapine

2) How To Measure Productivity? For years, businesses have experimented and narrowed down the most effective measurements for productivity. Your Chance: Want to test a professional KPI tracking software? Use our 14-day free trial and start measuring your productivity today! How To Measure Productivity?

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Most teams approach this like traditional software development but quickly discover it’s a fundamentally different beast. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges? Whats worse: Inputs are rarely exactly the same.

Testing 174
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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

At the same time, developers are scarce, and the demand for new software is high. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Organizations need to get the most out of the limited number of developers they’ve got,” he says.

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.

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Green Software Foundation: On a mission to decarbonize software

CIO Business Intelligence

Good coding practices for performance and efficiency have been part of software engineering since the earliest days. Computers that piggyback on vast libraries with extraneous lines of code, developers who have lost count of the number of virtual machines they have spun off — all add drag and increase the carbon emissions related to software.

Software 122
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Bigeye Enable Monitoring, Quality and Lineage of Data

David Menninger's Analyst Perspectives

I previously explained that data observability software has become a critical component of data-driven decision-making. This has increased the focus on data observability software providers such as Bigeye and the role they play in ensuring that data meets quality and reliability requirements. 

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The Engineering Leader's Guide to Empowering Excellence With Data

A software engineering team is most commonly measured by its outputs — the quality of the code delivered and the speed at which it was shipped. Create the Optimal Environment for Developer Success. Yet the first step to achieving success is the inputs; leaders need to create an environment that enables developers to excel.