The Impact Of Machine Learning On Workplace Productivity

Did you notice the shift that has taken place in the recent times in our relation with the technology or more specific Ali machines? Yes our interaction with gadgets and devices has dramatically changed in the recent years. Humans are still in command over machines but not in that way they used to be in the past. Infect machines became more interactive and engaging to understand their human masters. Thus, we have entered in the era of machine learning or intelligent machines.  Machine learning is one of the major examples of how advanced emerging technologies shipping our life.

Bart what is the end result? ? good machine learning bring any dramatic change in the way we work and interact in the workplace did machine learning boost productivity and enhanced the standard of work? This is really million dollar question for the industry strategists and business thinkers now. While the impact of machine learning on productivity will continue to be the subject of discussion in the business circles we can try to evaluate the impact with some practical examples.

Machines Knowing User Context

These days digital marketing can afford to address users and prospects more accurately thanks to the help from machine in learning about the user situations. With an array of advanced sensors and real-time sensing technologies Machines now can know about the user situations and particular context users are in and accordingly can suggest actions and responses that fit them. Thanks to this knowledge about users through advanced remote sensing technologies marketers now can send notifications and messages that derive more traction and engagement. From the business point of view it obviously results in better productivity for the marketers.

Working As In Duties Personal Assistant

Machine Learning

Machine learning is best experienced through the intuitive abilities of virtual assistants that allow exceptional ease of use and fluid interaction with devices and gadgets. Most of these virtual assistants are capable to know the preferences and user habits and accordingly react to different user situations and use cases. A vast majority of latest IOT devices are coming with smart interactive capability and rich artificial intelligence to help user performing actions and controlling the interface with least engagement. When smartphone knows that on Sundays you prefer not to be disturbed and want to sleep until late in the morning it can actually put the phone in silent mode or can divert the calls without requiring you to intervene. Less human intervention in commanding machines for carrying on different tasks will obviously result in better productivity.

Machines Offering Critical Insights

Machines Offering Critical Insights

The power of business analytics is already well known to most of us and we are actually utilising analytics for most of our day to day digital interactions without really knowing it. While producing relevant insights for businesses and mission critical tasks could not be done without human intervention in the past, thanks to advanced machine learning and sophisticated artificial intelligence of computers and gadgets now many of these insights are actually produced by the machines. The so-called gigantic and superhuman abilities of supercomputers are increasingly becoming common and every day reality with the advanced machine learning technology in modern gadgets. Analytics continues to be a specialty dominated by machines rather than human.

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