Sarah Humphreys Collins on Muck Rack

Sarah Humphreys Collins

Verified
United States
As seen in: Popcast, The New York Times, Elemental, Medium, The Mighty, LDS Living Magazine, Scootering
Editor in chief/editorial director. Current: editor on @nytimes Well desk. Past: EIC @elemental, EE @realsimple, EIC @ Martha Stewart's Blueprint.
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Articles

Why Enterprise Companies Choose JavaScript Backend

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By Sarah Humphreys Collins Verified
| Medium
Modern enterprises need backend technologies that are fast, reliable, and scalable. Many companies have turned to Node.js because it meets all these needs. It is built on JavaScript, a language known to almost every developer. This makes it easy to adopt and integrate with existing systems. If you are working with a Node.js development Company, you will see how flexible and powerful this backend can be for enterprise-grade projects. One of the main Node.js business benefits is performance.
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Programming Languages, Databases, and Cloud Platforms

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By Sarah Humphreys Collins Verified
| Medium
Medical web applications are transforming the way healthcare providers deliver services. A Web development company plays a key role in building these applications with the right tools and platforms. If you are wondering What is Medical Web Application Technologies, it refers to the set of programming languages, databases, and cloud platforms used to design, develop, and deploy healthcare-focused web solutions. These technologies ensure applications are secure, scalable, and efficient. 1.
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Predictive Software Engineering with Machine Learning for Smarter Development

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By Sarah Humphreys Collins Verified
| Medium
Software development is becoming more complex every day. Businesses need faster delivery, better performance, and fewer errors. To meet these needs, many are now turning to smart solutions powered by data. This is where Predictive Software Engineering plays a big role. A smart software development company no longer depends only on code and manual testing. It uses machine learning and data analysis to predict problems before they happen.
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