The Wise Use of Personal Auxiliary

Advances in machine learning have come a long way in recent years, but they have not done it alone. Humans have a great responsibility for how intelligent AI and machine learning systems have become and will continue to pave the way for further development in the future.



A growing technology feature for large and small businesses, the Accenture survey guarantees that machine learning will be invaluable. In it, they point out that 85% of business executives plan to invest in AI over the next three years and the majority of investments focus on key business processes. One question that many companies that work with or use AI technology today are asking themselves: Will there ever be a day when these devices would not need human help to make them

as powerful as they could be? Short answer - certainly not anytime soon. Datanami article puts you in the best position:

"Whether you view it as an advanced mechanical awareness, or a machine-assisted human understanding, comes back to one simple fact: artificial intelligence requires people."

People are absolutely needed to make data better. With human-assisted machine learning, AI engines can incorporate truly human elements, such as emotions and hidden visual cues; using the machine learning algorithm yourself does not work. Human instability is very important in the way these engines work effectively.

Here are five basic and innovative ways to use organizations that use a human-assisted machine today.

1. Voice and virtual support

A common practice for many individuals, families, and organizations today, voice-assisted technology has become quite common. With Siri, Alexa, and others in our homes, offices, and mobile devices, the ability to access information and visual aid simply by using your voice is much stronger and more widely used than ever before.


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