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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.

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

TechCrunch

The proceeds bring the company’s total raised to $17 million, which CEO Sankalp Arora says is being put toward expanding Gather’s deployment capacity and go-to-market plans as well as hiring new machine learning engineers. So does Pensa Systems, Vimaan, Intelligent Flying Machines , Vtrus and Verity.

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5 questions CIOs must ask after Southwest Airlines’ failure

CIO

In 2017, Fast Company wrote that Southwest Airlines’ digital transformation “takes off” with an $800 million technology overhaul, but only $300 million was dedicated to new technology for operations. While weather may have been the root cause, the 16,000 flights canceled between Dec. 19-28 far exceeded any other airlines’ operational impacts.

Airlines 348
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Palantir alums raise $25M from Peter Thiel’s Founders Fund and other VCs for their finance startup, Mosaic

TechCrunch

Along that journey, we tried all the off the shelf tools that exist and they had a really hard time keeping pace with the needs and the requests of the business,” CEO Moallemi recalls. “We It’s pulling down data from disparate systems, it’s doing ad hoc Excel formulas, it’s often one-off analyses.

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Next Best Action Marketing: How to Implement Hyper-Personalization with Machine Learning

Altexsoft

They don’t notice or report online ads and posts, unsubscribe from newsletters, reject calls, and mute app notifications. In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. This changes the game for marketers.

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Molecule.one grows its drug synthesis AI platform with a $4.6M seed round

TechCrunch

Its machine learning systems predict the best ways to synthesize potentially valuable molecules, a crucial part of creating new drugs and treatments. The company leverages machine learning and a large body of knowledge about chemical reactions to create these processes, though as CSO Stanis? . odarczyk-Pruszy?ski

Chemicals 246
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NJ Transit creates ‘data engine’ to fuel transformation

CIO

In early 2020, the company’s infrastructure was an amalgam of “everything,” Fazal says, including mainframe, client/server, and SaaS systems, as well as 140 applications of all “flavors,” some customized, some off the shelf, some from big companies and some from small companies, he says. Data engine on wheels’.