People And AI: ADP Is Hot In Automations For Payroll And Workforce

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People And AI: ADP Is Hot In Automations For Payroll And Workforce
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John Werner has created a career out of bringing ideas, networks and people together to generate powerful results. John is a Managing Director and Partner at Link Ventures. John's deep curiosity and penchant for problem-solving led him to a diverse set of roles spanning many fields and interests. John was a VP at Meta, a Y-Combinator augmented reality startup based in Silicon Valley. John's also served as the Head of Innovation and New Ventures at the MIT Media Lab's Camera Culture Group, and th

We've talked a lot about this and related topics, and looked at AI's effect on the business world from any number of angles. Now, some of you might bridle at the term ‘human capital management’ but in listening to a presentation about both traditional and forward-looking enterprise tools, we can see some big changes on the horizon, and it's not a foregone conclusion that the implementation of AI means companies will treat be treating us like machines.

First, he presents info on ADP by the numbers – 75 years in business, and operations and 140 countries, with an enormous collective footprint of a million clients – one in six Americans, he says, have been paid by ADP in the past.Google s Asia Pacific Women Founders Fund Picks First Batch Of AI StartupsFrom 60 million resumes, he says, the company compiled a skills graph that helps to provide business insights.

“We can report employment changes at the regional level,” he says. “We can do it by employer size, we can do it by industry…” Then he outlines something called ‘real income’ that gives more detail about how people are paid relative to each other.I’ll leave it to you to decide if the revelation that the Federal Reserve uses ADP data for policymaking is ‘really cool’ or not. It’s one of those asides that makes us think about the duality of AI – how it’s really a double-edged sword, so incredibly useful for a knowledge base, and yet so potentially dangerous to data privacy.

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