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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.

Company 247
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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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Ulta Beauty embraces low-code to deliver better CX

CIO

Flexibility, scalability, searchability Low-code also makes experimenting less risky. About six years ago, Ulta Beauty formed a dedicated innovation team to identify technologies that resonate to improve the customer experience. In particular, Ulta utilizes an enterprise low-code AI platform from Iterate.ai, called Interplay.

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Nvidia points to the future of AI hardware

CIO

However, CIOs looking for computing power needed to train AIs for specific uses, or to run huge AI projects will likely see value in the Blackwell project. As AI models get larger, they’ll require more performance for training and inferencing, the process that a trained AI uses to draw conclusions from new data, he says.

Hardware 148
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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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New Zealand-based Imagr thinks camera-based AI is the future of shopping trolleys

TechCrunch

But unlike Amazon Go stores, which use cameras and sensors to monitor the shopper as they walk in and out without scanning or paying at checkout, this New Zealand-based company thinks the only images that should be captured and analyzed are those of products going into a shopping cart. Chomley says Imagr has raised a total of $12.5

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Black Box Machine Learning in the Cloud

Erik Bernhardsson

Yes – we can take historical data and train a binary classifier, but it suffers from a lot of issues (such as observation bias, feedback loops, etc). Focusing on a particular niche makes it easier to build something that works off the shelf. Then there’s a ton of startups: PredictionIO ($2.7M funding), BigML ($1.6M