Why the Future of Big Data Requires Human-Machine Cooperation

Why the Future of Big Data Requires Human-Machine Cooperation!

Why the Future of Big Data Requires Human-Machine Cooperation

Why the Future of Big Data Requires Human-Machine Cooperation

“We don’t all have to become data scientists in order to work with the machine. The machine needs to become more human and work with us,” HammondClick To Tweet

It’s really essential for any business to gather, examine and interpret the data than ever before. But since we now have automated tools that can really make better decisions than humans and they are cost effective as well.
However the future of data management doesn’t only rely on these automated tools but instead it relies on human machine cooperation and interfaces.

Why do we still need humans? Why not machines only?
No doubt that machines defeat humans in games of pure logic and we expect that the future machine learning algorithms will be more better in next several years so then why we will still be needing for gathering and analyzing the data?
That’s because,

 

1. Machines need direction

Machine needs direction

Machine needs direction

It’s true that humans are now creating a machine evolution mirroring their own.

For instance, technology exists to replace waitstaff with an iPad menu. The restaurant has taken out the people completely. After placing your order on the iPad, your food comes , there’s no communication or contact required with any human — but not everyone is going to want this kind of experience. Some peoplelike to be welcomed by a person, who not only takes the order, but answer questions about the menu and brings you your food.

Secondly the machine doesn’t understand patterns or meaning of data, it can just fetch or combine it the way as human instructed it. So human still remains an important part of the equation.

 

                                               2. Processing limitations

Processing Limitations

Processing Limitations

Machines and humans both need each other to keep advancing. Anything that has more calculations can easily be done or solved by a machine than by a human who does it all manually. But machines too have some limits, for example human can detect complex data sets manually and he can also detect what’s unnecessary just by looking the data where as machines need to be taught from the ground up.

 

 

 

3. Long-term flexibility

Long term flexibility

Long term flexibility

To remain flexible in the future development and to be remain successful we should work together with human machine interfaces

No doubt that AI has offered us unlimited advantages, but at the end of the day, robots won’t ever fully replace humans in the workplace simply because humans don’t want them to. For this reason, plus the reasons listed above, robots won’t edge humans out of the workplace.