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The Latest from the Talent Tech Industry

December 21- 26, 2020 (Hoorayy, it’s almost over!): Colorado issues a new regulation regarding pay transparency in job postings, In wake of SolarWinds, Shelly Palmer says, “There are only two kinds of companies: Those that have been hacked, and those that do not know they have been hacked.”, Boston investment house buys TalentInc.com, “A TechRepublic author opines, “Nobody’s going to invest in a technology [especially AI & machine learning] they don’t fully get.”, Can synthetic data solve the data scarcity problem vexing AI development?, Facebook is getting into the gig worker recruiting business, and speaking of gig workers, now there’s an app to help them find restaurants with available restrooms. A fitting way to end 2020.

Colorado Asserts Nationwide Reach Over Most Online Job Postings of “Colorado Employers” in New Guidance Re Pay Transparency Rules

On Friday, December 18th, the Colorado Division of Labor Standards & Statistics (“DLSS”) issued Interpretive Notice & Formal Opinion #9 (“INFO #9”) regarding the pay transparency requirements in the new Colorado Equal Pay for Equal Work Act (“EPEWA”). Most of the guidance is helpful to comply with the EPEWA, addresses technical details of covered job postings, and discusses which jobs must have the EPT (“Equal Pay Transparency”) data Colorado now requires of most job postings. As to the extra-territorial reach issue which has been vexing employers, the DLSS boils it down to four simple rules (two of which multi-state employers will NOT like) to deal with the varying contexts of multi-state employers.

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What You Should Do About the SolarWinds Hack

Federal authorities are now convinced that Russia is behind a cyberattack that is so massive and so serious, either they don’t want to go into details, or they can’t. I’m not sure which is worse. The small amount of information that is available can be found on every major news site, so I won’t rehash it. Instead, I want to offer you a strategic approach to dealing with an immutable law of 21st-century life, “There are only two kinds of companies: Those that have been hacked, and those that do not know they have been hacked.”

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Boston investment house buys Talent Inc.

Talent Inc., a recruitment services and resume-writing company based in New York, has been sold. Sources told the AIM Group that BV Investment L.P., a Boston-based investment company that focuses on business services and information technology, bought the business for a nine-figure amount. A spokesman for BV Investment declined comment. Neither Jeff Berger, Talent Inc. founder and CEO, nor Todd Goldstein, the company’s EVP, could be reached for comment. Talent Inc. was founded in 2014 as a resume writing service, and has grown to offer related services. Its brands include Top Resume, Top CV, Top Interview and ResumeRabbit. It uses a network of freelance, contract and staff writers, including a team based in South Africa, to produce resumes and CVs for job-seekers.

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Why is machine learning so hard to explain? Making it clear can help with stakeholder buy-in

It’s hard to get stakeholders to buy into technology they don’t understand. In the case of artificial intelligence (AI) and machine learning (ML), very few people actually get it, leaving an explainability gap for data scientists and businesses. Three years ago, the MIT Technology Review published an article about AI titled, “The Dark Secret at the Heart of AI.” ‘No one really knows how the most advanced algorithms do what they do. That could be a problem,’ Will Knight wrote. ‘Last year, a strange self-driving car was released onto the quiet roads of Monmouth County, New Jersey…. The car didn’t follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it.’

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Overcoming Data Scarcity and Privacy Challenges with Synthetic Data

A synthetic dataset is one that resembles the real dataset, which is made possible by learning the statistical properties of the real dataset. Synthetic data can help to solve the common problem of data scarcity and protects data privacy, making it easier to share data and improve model robustness. This is particularly beneficial for financial institutions. To generate synthetic samples, different algorithms should be applied to different types of data. CTGAN is a great open source project at MIT that provides desirable results for generating synthetic tabular data.

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Facebook is reportedly looking to take on TaskRabbit by allowing people to book gig workers for home repair and freelance jobs

Facebook might make TaskRabbit obsolete. The social media giant is looking to build a services feature that connects gig workers with users looking for home repair or freelance jobs, The Information reported. The company is forming a team focused on this new initiative, but Facebook could decide to ultimately abandon the effort, according to the report. The services tools would reportedly live on Facebook Marketplace, a place users can sell or exchange goods to one another similar to Craigslist. The company introduced Marketplace in 2016 and amassed 800 million global users within two years, Facebook said.

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A new app helps gig workers find where to whizz

As businesses tighten entry restrictions because of the pandemic, delivery and ride-share drivers are struggling more than ever to find open and usable restrooms. An app, playfully named Whizz, is trying to help. Described as being developed “by gig workers for gig workers,” Whizz is a bathroom finding app that is partnering with restaurants to provide gig workers with some much-needed relief. The app displays partnered restaurant locations on a map, currently limited to Southern California and some locations in Arizona and Nevada. Users pick a nearby restaurant and show an employee their phone to gain access to their bathroom. While several public bathroom finder apps already exist, Whizz’s strategy is different in that it’s seeking partnerships with restaurants to provide not only bathroom access, but also deals for users of the app.

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