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Sequoia backs open source data-validation framework Pydantic to commercialize with cloud services

TechCrunch

Pydantic , the popular Python library and open source data-validation framework used by some of the world’s biggest companies, has a new commercial namesake and the backing of one of Silicon Valley’s most storied venture capital (VC) firms. Pydantic Services Inc. emerges from stealth today with $4.7 and Europe.

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[MeMed in GlobeNewswire] Clinical data validate pioneering MeMed BV technology improves diagnosis of pediatric patients with fever in the Emergency Department

OurCrowd

The post [MeMed in GlobeNewswire] Clinical data validate pioneering MeMed BV technology improves diagnosis of pediatric patients with fever in the Emergency Department appeared first on OurCrowd Blog. Read more here.

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Stemma launches with $4.8M seed to build managed data catalogue

TechCrunch

Company co-founder and CEO Mark Grover says the product is actually built on top of the open-source Amundsen data catalogue project that he helped launch at Lyft to manage its massive data requirements. The problem was that with so much data, employees had to kludge together systems to confirm the data validity.

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Extra Crunch roundup: Lordstown Motors’ woes, how co-CEOs work, Brian Chesky interview

TechCrunch

Join TechCrunch reporter Ron Miller and Patrik Liu Tran, co-founder and CEO of automated real-time data validation and quality monitoring platform Validio, on Thursday, May 27 at 9 a.m. PDT/noon EDT for a Clubhouse chat about ensuring data quality in the era of Big Data. The world produces 2.5

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Bobidi launches to reward developers for testing companies’ AI models

TechCrunch

Assuming Choi’s estimations are rooted in fact, Bobidi bucks the trend in the data science industry, which tends to pay data validators and labelers poorly. The annotators of the widely used ImageNet computer vision dataset made a median wage of $2 per hour, one study found, with only 4% making more than $7.25 per hour.

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5 investors discuss the future of RPA after UiPath’s IPO

TechCrunch

These are mostly data entry and data validation jobs. It’s simply suboptimal to hire, train and deploy remote employees to run routine processes, which are prone to, among other things, human error and boredom. Most of these tasks will be automated in the next couple of years.

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The Paradox of AI and Data Roles: How Automation Will Increase Demand for Data Professionals

Tomasz Tunguz

AI will infuse marketing, sales, customer support, product, & engineering in new ways - nearly all of it requiring data to deliver cost savings & productivity boosts. The data team will bear the responsibility of providing the data, validating it, & ensuring that it meets both internal & external standards/compliance.