3 The Wise Use of Personal Auxiliary
Machine Assistance Learning
Advances Auxiliary 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
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
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.
While it may sound like these programs have just been developed, it is not without the work of a
large team of real, living professionals; in the case of Eva, an AI assistant created by Voera, this was
especially true. By using people’s speech-writing resources from TranscribeMe to help them train
their voice engines, Eva’s visual assistant is more efficient than ever, empowered with the ability to
truly understand human speech patterns, anticipation actions, and much more.
2. Smart Image Marking
Image tagging is an important step in categorizing, filtering, and analyzing images. Giving context to
an image by tagging it with a word or phrase that best describes it within metadata leads to a list of
benefits, such as advanced search and online availability. But why are people needed for such a
project? The short and fun answer is that machines and algorithms still have a long way to go before
everything is ready.
Defining and validating data found between certain images, as well as objects within images. This
helps AI technologies improve their advanced diagnostic system to make minor errors, such as being
able to accurately identify when looking at hot dog vs. legs (see the Not HotDog app for more
3. Powerful Online Search
Last year, 46.8% of the world’s population had access to the internet – by 2021, this figure is
expected to grow to 53.7%. Google now processs more than 40,000 search queries per second on
average, which translates to more than 3.5 billion searches per day and 1.2 billion searches per year
Automatic suggestions within search engines can only be improved if real, live people
verify accurate information and provide training algorithms in real time. Has your online business
search – either on your website or eCommerce platform – performed better with the help of humantrained AI? While machine learning algorithms can pull a lot of weight about training to get better, it
takes a touch of person-guaranteed data to make it truly perfect.
TranscribeMe speech recognition engine provides the most powerful solutions for a variety of
Our ability to produce customized and certified organizational training sets for
machine learning and training, as well as customizing it to suit your specific needs, makes
TranscribeMe a leader in automated speech recognition.
With thousands of voice-to-text
professionals around the world to help train speech recognition engines to be accurate and efficient,
we provide advanced human-assisted machine learning services.
Ready to learn more? Want to see how a human resource professional can improve your machine
learning and AI programs?
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