The document discusses how removing friction from technology can accelerate adoption rates. It focuses on the rise of chatbots and voice assistants that allow natural language interactions, removing the learning curve of traditional interfaces. This new paradigm may lead to ubiquitous AI integration, with millions of data points from chatbot conversations fueling further development. Many industries like commerce, travel and legal services are already using chatbots to streamline interactions.
8. BUT...IT’S A RECIPE FOR
OVERWHELM
By 2020, each of us will interact
with 150+ smart devices every
day.
These devices will be on our
bodies, in our homes,
in our cars, and at the office.
How will we keep up
with all of it?
theequitykicker.com/2014/10/22/big-iot-numbers-33bn-connected-devices-2020
12. WHAT IS TECHNOLOGY FRICTION?
Every time we buy a new gadget or install a new piece of
software there’s a learning curve to figure how it works and
adapt to its interface.
It’s human nature to resist change, so historically,
technology producers have had to overcome this
resistance when it comes to consumers using their
products.
Otherwise known as...
15. IMAGINE...
Releasing a product that you don’t need to teach
people how to use.
And adding new features that don’t need to be
explained.
16. REMOVING THE FRICTION
We go from fighting with our everyday gadgets to
getting them to do what we really want — right out of
the gate.
17. RISE OF THE CHATBOT
All of the tech giants
are investing heavily in
chatbots.
Smart entrepreneurs
are paying attention.
youtube.com/watch?v=P4Z8Sevz5GY
22. Instead of writing cryptic “code” or
tapping on a screen/keyboard,
we’ll be training computers to do
stuff, just like we would train a
(really, really smart) pet.
IN OTHER WORDS...
23. FLUIDITY
We are moving into a world of massive convergence
and massive disruption.
AI will be the lubricant that makes each transition
simple and easy.
33. ENTRY POINT FOR UBIQUITOUS AI
Data fuels the development of AI.
And millions of chatbots will create mountains of data
about how people want to use AI.
We are standing at the doorstep of
mainstream artificial intelligence.
34. UI vs. NLI
On websites, we try to
differentiate through
graphic design.
With chatbots we’ll try
to differentiate through
personality.
youtube.com/watch?v=EaynIXcWvyM
35. BRAIN INTERFACE
It’s a natural
progression..
Text → Voice → Brain
bits.blogs.nytimes.com/2013/04/28/disruptions-no-words-no-gestures-just-your-brain-as-a-control-pad
36. SOFTWARE IS EATING THE
WORLD
Just like the smartphone — and soon the car — the
home will become an app platform.
Google Home, Amazon Alexa, etc.