1
Hype vs. Reality
The AI Explainer
January 2017
Produced by Luminary Labs in partnership with Fast Forward Labs
2
Artificial intelligence (AI) is everywhere, promising self-driving cars,
medical breakthroughs, and new ways of working....
3
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...
5
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.
10
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...
12
AI will help redesign the entire shopping experience, optimizing
everything with more and better data. Retailers will s...
13
Where do you start?
Five ways to look past the shiny-object phase and into
practical AI planning in 2017.
14
1. Don’t fear the robots. The idea is to augment, not replace,
work. AI can absorb cognitive drudgery, like turning dat...
15
2. Start with the problem, not the solution. Before launching an
AI program, identify concrete business problems, then ...
16
3. Emphasize empathy. The more machines we employ, the
more people skills we need. Leaders must build empathy across
th...
17
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...
19
Glossary
Some AI terms are used primarily for marketing
purposes, while others are more technical.
Here are our transla...
20
Artificial intelligence (AI): Marketing term that describes a
continuum of non-living analytical power, fueled by fast
...
21
Machine learning: Method of automated analytical model
building. Machine learning lets computers find hidden
insights w...
22
Deep learning: Branch of machine learning that uses
multiple layers of distributed representations (neural
networks) to...
23
Natural language processing: Field of study in which
machines are trained to understand human language using
machine-le...
24
Recommended reading
25
AI: The big picture
• The Hype and Hope of Artificial Intelligence, The New Yorker
• What Counts as Artificially Intell...
26
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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7Photo: Netflix 7
Netflix’s predictive analytics recommend what you might
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