Artificial Intelligence at Work: How AI will Shape the Workplace in the Future?

Artificial Intelligence at Work: How AI will Shape the Workplace in the Future?

Artificial intelligence can be defined as the theory of the development of systems that are able to perform tasks requiring human intelligence. Artificial intelligence (AI) has entered in every sector of business. The investment in AI is rapidly growing, and it is expected to grow more in the future. According to the prediction made by the Forester, the investment in AI will grow by 300% in 2017. This tells us how important AI really is in the current world of digital technology.

Artificial intelligence is already impacting a lot in our personal lives, and it is expected to completely change the workplace in the near future. You will need to embrace the change coming to your workplace, and these changes may even create new opportunities and market in the near future. To what extent will AI shape your workplace? We will discuss it in the next section of this article.

How will AI shape your workplace in the near future?

There are many ways how AI could shape your workplace in the near future. You may have observed many websites already using chatbots and avatar; however, these technologies still require many improvements. Here are some of the trends that can totally change the way you work in your workplace.

  1. Automation

Many big companies are going for automation to minimize cost and maximize their efficiency. They are outsourcing their processes to machines. This is a very serious concern for unskilled labor because it will take away their jobs from them. However, this could result in a positive outcome as well. Due to costs saved from automation, companies could spend time creating specialized labors in many areas where specialization is missing.

  1. Human assistance

The technology is getting more complex every day. Due to increasing complexity, human beings are not able to completely understand how technology works. The study shows that even the engineers working in Google don’t have a complete understanding of how Google’s algorithm actually works. In order to solve this issue, Defense Advanced Research Projects Agency (DARPA) has recently invested in a research to develop new AI algorithms.

Those new algorithms have the ability to explain themselves along with their conclusions.

  1. Conversation

To know something, there won’t be any other better way than to ask someone directly. This technology has been discussed for many years, and finally, it has reached the stage where it is usable to some extent. We can already see the wide use of virtual assistants for solving simple issues. According to the study, it is estimated than 85% of the interactions with customers will be carried out without human beings by 2020.

  1. Cloud processing

In today’s time, everyone can easily get an access to the growing cloud infrastructure of big corporations to do some experiment with machine learning for almost free. It took millions of dollars for researchers in the past. This opportunity is available to anyone now, which creates a large number of homegrown talents.

  1. Deep Learning

The application of deep learning is one of the biggest breakthroughs in the recent time. This method has made it possible to understand more about the deeper aspects of data. It has even advanced to an extent of eliminating human instructors. Machine learning was highly depended upon human researchers in the past, but not any more thanks to deep learning. For an instance, we can look at Google’s Translation tools. It has developed its own internal language that can describe all human communication in just one feature field.

  1. Data Monsters

In order to develop an intelligent machine, one needs to feed proper data to it from which one can learn from it. Without feeding proper data, one can only expect a machine to do simple tasks like playing checkers.

With the purpose of developing an intelligent machine, many companies are emphasizing on data harvesting to create an algorithm, which can help to improve machines and functions.

  1. Algorithmic society

In the past few years of our digital presence, we can see that our actions are influencing our future actions in one way or the other. It also influences other’s actions through an algorithm. It is one of a trend, which has made us reach into a state where we just have to execute instead of making too many decisions. The growth of Uber and Postmates illustrates how we are being directed by machines. They tell us where to go, what to do, and more.

Final Verdict

Artificial intelligence is still in the growth phase, and we can expect rapid growth in AI in the future. There are still lots of improvement needed in the AI. Well, we cannot expect AI to completely replace the human works in the near future, but we can certainly expect AI to minimize human works. There are many new startups bringing revolution in AI, and many big companies are attracted in investing in AI.

The survey shows that around 80% executives believe that the inclusion of AI can significantly improve employee’s performance. Don’t be surprised if your workplace is completely changed in the near future. It is better to be ready for a positive change.

This post is part of our contributor series. It is written and published independently of TNW.

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