Hype vs. Reality: The AI Explainer

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Hype vs. Reality
The AI Explainer
January 2017
Produced by Luminary Labs in partnership with Fast Forward Labs

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Artificial intelligence (AI) is everywhere, promising self-driving cars,
medical breakthroughs, and new ways of working....

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We’ve all seen the sensational headlines: The robots are
coming, and they’ll take our jobs! AI can do your job faster
an...

4
The
Reality
Human jobs won’t go away, but they will change. Roles will
be more creative and specialized as AI is integra...

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In the short term
AI does the math faster, saving money by automating
normally complex processes.
It makes your life eas...

6
The Nest thermostat remembers what temperatures you like
and adjusts automatically, like turning the temperature down
wh...

7Photo: Netflix 7
Netflix’s predictive analytics recommend what you might
want to watch next—and what studios should creat...

8
Salesforce Einstein applies natural language processing to
analyze text from e-mails exchanged with customers to
estimat...

9
In the longer term
AI will transform industries.

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For example, algorithms help healthcare professionals
recognize anomalies or patterns in medical images with
more accur...

11Photo: NVIDIA Coporation
One of AI’s promises is to make self-driving cars safer.
Everyday driving decisions, such as wh...

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AI will help redesign the entire shopping experience, optimizing
everything with more and better data. Retailers will s...

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Where do you start?
Five ways to look past the shiny-object phase and into
practical AI planning in 2017.

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1. Don’t fear the robots. The idea is to augment, not replace,
work. AI can absorb cognitive drudgery, like turning dat...

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2. Start with the problem, not the solution. Before launching an
AI program, identify concrete business problems, then ...

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3. Emphasize empathy. The more machines we employ, the
more people skills we need. Leaders must build empathy across
th...

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4. Engage the skeptics. Understand what they fear and start
there. Fast Forward Labs’ Hilary Mason shared an example of...

18Photo: Flickr user JDHancock
5. Remember: It’s not magic. If a vendor can’t explain their AI
product or service in terms...

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Glossary
Some AI terms are used primarily for marketing
purposes, while others are more technical.
Here are our transla...

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Artificial intelligence (AI): Marketing term that describes a
continuum of non-living analytical power, fueled by fast
...

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Machine learning: Method of automated analytical model
building. Machine learning lets computers find hidden
insights w...

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Deep learning: Branch of machine learning that uses
multiple layers of distributed representations (neural
networks) to...

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Natural language processing: Field of study in which
machines are trained to understand human language using
machine-le...

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Recommended reading

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AI: The big picture
• The Hype and Hope of Artificial Intelligence, The New Yorker
• What Counts as Artificially Intell...

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How companies use AI today
• An Exclusive Look at Machine Learning atApple, Backchannel
• Preparing for the Future ofAr...

27
Ethical considerations
• The Head of Google’s Brain Team is More Worried about the Lack of
Diversityin Artificial Intel...

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