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Technology Will Be a Better Boss Than Your Human One by 2020

Will you welcome a digital version of your boss on your wrist? Do you want a device that measures your productivity? It might not be an option. It's likely to be contentious.

· IoT Zone

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Michael Schrage, a research fellow at MIT Sloan School’s Center for Digital Business, has a compelling proposition: once machines track your every move and tell you exactly how to become more productive, will you listen to them?

A few years ago, in support of the pioneering practice of people analytics, MIT invented employee badges that allow organizations to tell which employees are most productive, and where their efforts should be directed to ensure maximum success. At the time, these badges were considered an experiment — a novelty. Not anymore.

Whether you think counting your steps with FitBit is motivating or a chore, you’ll have to get used to the idea that it’s only a matter of time before FitBit for business arrives on your device or in the mail via a wearable. Seemingly harmless software and/or software powered by big data algorithms will turn your working life into Big Brother on steroids, and you’ll have no choice but to use it.

As Schrage says in Harvard Business Review: “Anybody and everybody who wants to succeed in tomorrow’s organizations will have to commit to levels of self-monitoring, self-surveillance, and self-quantification that makes Orwell read like Pollyanna.”

That Little Voice That Whispers “You Can Do Better” Is No Longer in Your Head but On Your Device

How will this work, exactly? Schrage explains that much the way Amazon suggests books to read and Netflix recommends videos to binge watch, data aggregators will synthesize and customize explicit recommendations designed to make people productive and effective. Annoyed that your boss doesn’t give you enough attention? Fear not, for soon, algorithms will recommend strategies to boost your creativity, optimize your performance, manage your time, and improve on your work product based on your unique style.

An algorithm may serve as a communication coach, too. It could prompt an introverted employee to get out there and network, and an extroverted one to tone it down. It may help you solve a problem with a colleague, deliver criticism to a direct report, or manage a sticky political situation. Even if your boss did have the time to help you out, who’s to say his or her advice would be as good? What will win here, human intuition or scientific objectivity? The jury may be out now, but machines are only getting smarter whereas human capabilities are pretty static.

From a Profit Perspective, the Pros of Powerful Productivity Algorithms Will Outweigh the Cons

I suspect that initially, there will be some kind of backlash. After all, no one really wants to admit that machines can both define and measure excellence better than humans can, and no one wants to be relegated to the role of the “dumb human” who needs the crutch of technology to make the simplest decisions. However, eventually, the cost benefits are bound to overtake any concerns. After all, can you imagine if every employee in your company was suddenly 25% more efficient and every action or decision was 50% more likely to be the right one? Yup, algorithmic advisors will become ubiquitous in our workplaces.

Even if “everyone’s doing it,” problems are bound to arise. With a machine monitoring our every move, will we feel claustrophobic and burned out? Does anyone have the self-discipline to follow an exhaustive professional improvement regimen? Will we be able to listen to sensible feedback that hurts our fragile egos? And how will we cope when a human executive tells us one thing, but our data suggests something else entirely? There are no easy answers to these questions, and only time will tell how we navigate them.

 If someone offered you this kind of technology tomorrow, would you be excited or leery? (Let us know in the comment section below.)

The IoT Zone is brought to you in partnership with GE Digital.  Discover how IoT developers are using Predix to disrupt traditional industrial development models.

Topics:
ai ,wearable ,management ,productivity

Published at DZone with permission of Alexandra Levit. See the original article here.

Opinions expressed by DZone contributors are their own.

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