Flowhub hires former Glassdoor exec Stephanie Jenkins as SVP of sales

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  • Cannabis tech startup Flowhub hired Stephanie Jenkins as an SVP of sales. She was formerly an executive at Glassdoor.
  • Jenkins told Business Insider that when she was evaluating new opportunities, cannabis tech was the highest risk — but also potentially the highest reward — for her career. 
  • Visit Business Insider’s homepage for more stories.

When Stephanie Jenkins got on a Zoom call in early May, she knew it would be one of the toughest days of her career.

Then an exec at the job-hunting site Glassdoor, Jenkins says she understood the economic recession caused by the pandemic hurt many industries, but perhaps none more than recruiting. As company budgets dry up, hiring is usually the first cost on the chopping block. 

“I had to fire my entire team of about 160 people over a Zoom call that morning,” Jenkins told Business Insider over the phone. Glassdoor laid off around 300 people that day, mostly shuttering its Chicago office, and Jenkins said that as part of those layoffs she’d be leaving her job by the summer.

Jenkins said that while she was still at Glassdoor, she’d had a series of conversations with Flowhub CEO Kyle Sherman. When the two set up a formal interview, Jenkins said what was supposed to be a 45-minute interview turned into a two-and-a-half-hour conversation.

“We talked very theoretically about where the business is going, how it’s operating, and how to make it better,” Jenkins said. 

Read more: The buzziest startup in cannabis doesn’t even sell marijuana. Meet Flowhub, the cannabis-tech platform that’s already signed on more than 900 dispensaries.

In September, Jenkins made the jump into the cannabis industry as Flowhub’s senior vice president of sales, a strong signal that investors and executives from inside and outside of cannabis think that the tech side of

On-device processing key to iPadOS Scribble’s success hints Apple SVP Craig Federighi

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Apple’s handwriting recognition in the Apple Pencil relies on recognizing strokes, an interview with Craig Federighi reveals, while new features such as iPadOS’ Scribble rely on massive amounts of onboard machine learning processing.

Introduced as part of iPadOS 14, Scribble enables users to fill out text fields and forms using the Apple Pencil, without needing to type anything out. It accomplishes this by performing onboard processing instead of cloud-based versions, as well as taking advantage of machine learning to improve its accuracy.

Speaking to Popular Mechanics, Apple SVP of software engineering Craig Federighi explains how the Apple Pencil’s handwriting recognition was produced. It all started with “data-gathering” by asking people around the world to write stuff down.

“We give them a Pencil, and we have them write fast, we have them write slow, write at a tilt. All of this variation,” said Federighi. “If you understand the strokes and how the strokes went down, that can be used to disambiguate what was being written.”

Combining the stroke-based recognition with character and word prediction also means that a lot of processing has to take place. As speed is of the essence, this eliminates the use of cloud-based processing of handwriting recognition, and instead forced Apple into a system involving on-device processing.

“It’s gotta be happening in real time, right now, on the device you’re holding,” insists Federighi., “which means that the computational power of the device has to be such that it can do that level of processing locally.”

Apple’s expertise in chip design has led to the new iPad Air 4 having the A14 Bionic, Apple’s fastest self-designed SoC, packing 11.8 billion transistors, a 6-core CPU, a new 4-core graphics architecture, and a 16-core Neural Engine that is capable of up to 11