Artificial Intelligence At Work: The Future Of Workplace

Artur Kiulian
Jan 13, 2017 · 4 min read

WWould be naive to think that it’s just our personal lives that are dramatically enhanced by the recent progress in artificial intelligence. Technology is changing the way we interact with the world and no question that machine learning will definitely change how our nine-to-fives look like in a few years.

As a founding partner at a venture studio we embrace these trends and try to help startups we work with to focus on the future rather than how it works today, since the technology we create will definitely create new opportunities and markets tomorrow.

And the best way to be prepared for the change is to understand what is driving it and which trends are the most distinguished in a current strive for technological singularity.

Automation

Human Assistance

To clear up this issue Defense Advanced Research Projects Agency (DARPA) recently funded a research to make new a kind of artificial intelligence algorithms that can properly explain themselves and their conclusions, something similar to what we see in a Westworld TV show.

Conversation

Cloud Processing

Deep Learning

This is how Google Translate tool accidentally created it’s own language that describes all human languages in a single feature field, which makes it super efficient at translating any language.

Data Monsters

The key to building intelligent machines is to have a proper data on it to learn, without that we are stuck to building dumb machines that can only play checkers.

That’s why more and more companies are becoming focused on data harvesting, especially in the major work processes, to craft better algorithms that can actually improve those.

And most of the time this aspect heavily relies on human actions as an input, which again proves the fact that humans won’t be majorly extinct from the day to day operations for a while.

Algorithmic Society

This is one of the major trends that keeps accelerating us to a state where we hardly even have to make a decision but just execute. Taking on-demand economy (Uber, Postmates etc) as an example perfectly illustrates that machines already tell us where to go, when to go, how much to pay and even what to eat.

We’ve seen signs of that once companies like Amazon started recommending products to buy or Facebook suggesting whom to friend, but now it’s getting even more substantial to our day to day lives and future.

“Rushing” Capital

As a startup studio we are seeing an exponential growth of new startups aiming to revolutionize how we build intelligent machines and how we communicate with them. To which availability of funding makes it possible to actually build and take their solutions to the market. And of course, investors are inclined to take part in a truly disruptive venture leading the artificial intelligence to real industry applications.

Mission.org

A network of business & tech podcasts designed to accelerate learning. Selected as “Best of 2018” by Apple. Mission.org

Artur Kiulian

Written by

Serial Entrepreneur, Partner at Colab.la, Author of “Robot Is The Boss” www.robotistheboss.com

Mission.org

A network of business & tech podcasts designed to accelerate learning. Selected as “Best of 2018” by Apple. Mission.org

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