Presentation of trends about artificial intelligence developed by Gartner for the year 2017. Our conclusion is that we must make people trust AI enabling machines with empathic communication skills.

1. Artificial Intelligence
trends 2017.

2. Gartner named AI as its number one strategic
technology for a second year in a row.

3. of large enterprises will be
using AI-technologies by 201862%

4. AI predictions
2017
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AI & communications
closing the communication gap
between man and machine
how we’ll communicate with
computers and other devices
how AI systems will communicate
with each other
how we’ll communicate with
each other about AI
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5. AI trends
2017
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accelerating race towards AI
acquisitions race among giants like Google, IBM,
Amazon, Salesforce and Apple to purchase AI
companies

6. AI trends
2017
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Conversational interfaces are game changing. Efforts of
innovative tech giants point to a coming year when
interacting with technology through conversation becomes
the norm.
Google have already enabled search queries via spoken
word. Facebook launched DeepText, to understand
individual users’ conversational patterns and interests.
The move toward natural language interfaces has sped up
with the explosion of companies focused on enabling
chatbots, digital assistants and messaging apps
conversational interfaces
will speed up

7. AI trends
2017
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If people don’t trust AI, they won’t use it.
In 2017 designers will begin to apply knowledge of human
interaction, specifically in the area of how we earn trust and
respect, to AI systems.
Elements of communication like tone, sentiment, timing,
visual cues and word choice combined with AI technologies
like natural language generation that increase transparency
into how these systems operate will play a role in helping
users trust and rely on AI systems.
design will begin to evolve to
increase our trust in AI

8. AI trends
2017
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Companies will begin looking for demonstrable value and
ROI proof points from AI technologies.
While funding for AI-related startups keeps increasing – in
the last 5 years alone, investments in AI have grown from
$94M in 2011 to $1049M in 2016, we’ve seen few real
commercial applications surface.
Most often these technologies are piloted by Innovation
teams or an R&D department.
2017 will be the tipping point when companies start
questioning their investments and AI will have to grow up.
enterprises will start to
demand ROI from their AI

9. Ultra-personalized campaigns
Conclusion
Make people trust AI enabling machines
with empathic communication skills
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10. thank you.