It advancement of AI, UX designers now

It goes without saying that
Artificial Intelligence (AI) has made major strides in recent years and will
most likely grow even more in the years to come. In fact, according to IDC,
the AI market will grow to more than $47 billion by 2020.


From mastering games to
contemplating the meaning of life, 2016 and 2017 has brought some really interesting
AI trends and it is surely changing the way we think of technology.

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So, as we wrapped up 2017, lets shed
some light on what the near future of AI looks like for businesses and
consumers. These are our predictions:


Machine Learning will Go Mainstream

learning is a sub-discipline of computer science and a branch of artificial
intelligence. Its goal is to develop techniques that allow computers to learn without
being explicitly programmed. Machine learning platforms are gaining more and
more traction every day and as per a survey by SoftServe Inc, machine
learning is set to go mainstream by 2018. The survey also states that the
financial sector will make the most use of machine learning as they’ve already
adopted machine learning technologies.

technology is currently being used in diverse business activities, mainly for
prediction and classification. Companies focused in machine learning include
Amazon, Google, Microsoft, SAS, Skytree which offer multiple AI services such
as image recognition, a deep-learning-driven text-to-speech (TTS) service and
natural language and speech recognition program among others. These services
will come in handy for most organizations to use. Alternatively, certain
organizations might utilize their internal data and create their own machine
learning platforms.


UX Platform
will Undergo a Radical Change


User Experience teams usually refer to conventional
metrics and tools to understand a system and make it better. Although with the
advancement of AI, UX designers now have easy access to actionable data which
will make it simpler to optimize the user experience. In this age of personalization
and customization, AI will enable UX teams to meet user expectations by becoming
more data-savvy and analyzing human behavior patterns in a better manner.


Natural Language Generation (NLG) will Impact Both Business and Daily Life

If you have ever had to use a voice-activated phone
system like Cortana or Siri, you know it’s not easy to use natural language
while giving instructions. Machines process information in an entirely
different way than the human brain does. However, with its growing demand in
various business applications across industries specifically in customer
service, it has become critical to recognize the little nuances of human

The power of NLG can completely transform our personal
lives as well. I mean who won’t like to have bots that can talk and allow us to
understand the status of our jobs, our businesses, our health, our homes, our
devices and, our families.


Recognition will Strengthen Bot-Human Bond


The ability to recognize human emotion is one of the
major challenges that AI face. In the ongoing effort of improving customer
relations, businesses will surely treasure a chatbot that can recognize when a
person is getting frustrated and then adjust its tactics accordingly. One of
the best applications that I could think of at this moment is a fully developed
counselor-bot which can act as a counselor and significantly help in treating
patients who suffer from mental illness.


major developments, the AI industry is still at a nascent stage. But with more
and more of tech giants and SMBs already delving into this powerful ecosystem
of AI, it will surely witness a meteoric rise with better use cases in 2018 and