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Low code/no code tools reap IT benefits—with caveats

CIO

Low-code/no-code visual programming tools promise to radically simplify and speed up application development by allowing business users to create new applications using drag and drop interfaces, reducing the workload on hard-to-find professional developers. This approach is especially valuable given the shortage of skilled developers.

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How we pivoted our deep tech startup to become a SaaS company

TechCrunch

The process wasn’t precisely linear, but (looking back) we did four core things to conclude SaaS was our model: Assessed what was truly disruptive, scalable and profitable about our technology. ECM PCB Stator Technology was founded on the innovation of MIT-trained electrical and software engineer Dr. Steven Shaw, our chief scientist.

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Examining Mr Price Group’s search to modernize

CIO

So she needs to keep tabs on the spectacular rise of artificial intelligence (AI) and its use cases, while also monitoring developments across topics that have been around for years, like big data, RFID and cybersecurity. It’s the basic, non-sexy ‘just has to happen’ kind of stuff,” she says.

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Impact of Custom Medical Software on Healthcare

The Crazy Programmer

The healthcare industry has seen rapid technological advancements in recent years, especially when developing innovative custom medical software solutions. What key innovations and benefits drive the demand for custom health services software development today? Let’s explore it.

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Transport and Logistics App Development

Mobilunity

App development, specifically in the transport industry, has helped companies achieve greatness and become some of the top-performing companies in the world. The cherry on top is that transport orientated development apps have also made a significant impact on costs, increasing profit margins and keeping businesses sustainable.

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Getting Your IoT Projects Off The Ground By Building On Azure

Xebia

These devices live at “the edge”, a collective term for anywhere from a factory, train tracks, or someone’s home. The technologies used to develop this project seemed “fine” at the time. When the prototype became a success, it was put into production instead of turning it into a scalable solution first.

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Supporting Diverse ML Systems at Netflix

Netflix Tech

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. While human-friendly APIs are delightful, it is really the integrations to our production systems that give Metaflow its superpowers.

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