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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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Gather AI secures new cash to scan inventory in warehouses using drones

TechCrunch

The trio had the idea to use drones to gather data — specifically data in warehouses, such as the number of items on a shelf and the locations of particular pallets. Arora co-founded Gather AI in 2019 with Daniel Maturana and Geetesh Dubey, graduate students at Carnegie Mellon’s Robotics Institute.

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

CIO

Fidelity National Information Services And among low-code tools, for instance, FIS chose WaveMaker because its components seemed more scalable than its competitors, and its per-developer licensing model was less expensive than the per runtime model of other tools. So there’s a lot in the plus column, but there are reasons to be cautious, too.

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Examining Mr Price Group’s search to modernize

CIO

According to Sim, building an ecommerce offering from scratch meant doing things like capturing imagery and writing product descriptions for every product, choosing a suitable approach to order fulfilment, and training in-store staff to do things they’d never done before. This isn’t to say the execution process was simple, however.

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Impact of Custom Medical Software on Healthcare

The Crazy Programmer

Generic off-the-shelf software often falls short of meeting specialized workflow needs. The healthcare industry has seen rapid technological advancements in recent years, especially when developing innovative custom medical software solutions. Let’s explore it.

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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. When the prototype became a success, it was put into production instead of turning it into a scalable solution first. Now, some projects go nowhere, with others end up being very successful.

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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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