Much like the Industrial Revolution the Artificial Intelligence Revolution is going to have major impacts on all aspects of society. How we live our lives 20 years from now will change drastically. There are going to be many positive aspects as well as many negative aspects. In this presentation I explore the history of artificial intelligence, the innovations, the threats, the opportunities as well as the future of AI.
12. The theory and development of computer
systems able to perform tasks that normally
require human intelligence, such as visual
perception, speech recognition, decision-
making, and translation between languages.
@KevinGetch
artificial intelligence is...
16. In 1950 Alan Turing
developed the “Turing Test”
which is a test of a
machine's ability to exhibit
intelligent behavior
equivalent to, or
indistinguishable from, that
of a human.
@KevinGetch
The Turing Test
Source: Wikipedia
18. @KevinGetch
By Juan Alberto Sánchez Margallo - https://commons.wikimedia.org/wiki/File:Test_de_Turing.jpg, CC BY 2.5,
https://commons.wikimedia.org/w/index.php?curid=57298943
35. @KevinGetch
“In a recent survey of airline pilots, those
operating Boeing 777's reported that they
spent just seven minutes manually piloting
their planes in a typical flight.”
40. ● Innovation displaces workers and
replaces many jobs
● Concern of availability/access only to
wealthy
● Shifting of global power
● Rising up and enslaving us like the
Matrix or Terminator
@KevinGetch
49. ● Create Jobs
● Create Wealth (A lot of it!)
● Improve Lifestyle
● Improve Health
● Lessen Death Rate
● Improve the lives of people with disabilities
● Do your laundry :)
@KevinGetch
60. “When we look at the progress that has been
made over the last year in AI, we think that
Google has continued to distance itself from its
competition,” Windsor emphasized in a
research note issued on Monday (Dec. 4).
@KevinGetch
63. “The goal of all of these companies is to
become the best personal assistant you’ve
ever had and in large part to provide
personalized information and ads proactively
before a user even makes a request. This
represents a fundamental shift in the way we
think about mobile marketing.”
@KevinGetch
67. "We want to
proactivelybring
you answers"
Source: http://www.theverge.com/2015/5/28/8677147/google-now-on-tap-announced
~ Aparna Chennapragada
Director of Product at Google
@KevinGetch
68. … a "major new iOS initiative" that
goes by the codename Proactive …
a personal assistant that's far
smarter than Siri's current
incarnation.
Source: http://www.theverge.com/2015/5/27/8671457/apple-proactive-google-now-ios-9
@KevinGetch
69. Kevin Getch
Founder + Director of Digital Strategy
kevin@webfor.com
webfor.com
Thanks!
@KevinGetch
Hinweis der Redaktion
So, let’s talk about the way most businesses currently do their marketing…
Now, I know what you’re thinking… I haven’t always been this good looking.
Like I’m sure you did… I went through my phases…
In High school I went through a Goth phase… The key to being goth is not to smile… Which that didn’t work for me long…
I’ve jumped out of a perfectly good plane…
Competed in a full contact fighting competitions… and WON!
I jumped off this cliff in Maui… And that wasn’t the hard part.. The hard part was jumping back up!!!
Met an amazing woman and have two smart and off the charts awesome kiddos…
They wanted to say Hi…
So, let’s talk about the way most businesses currently do their marketing…
So, let’s talk about the way most businesses currently do their marketing…
The Turing Test
Who is Alan Turing
One of the best analogies I’ve heard about artificial intelligence and how it is (and will) be distributed came from Kevin Kelly… and is a comparison to the industrial revolution…
The Industrial revolution went from everything being done by hand and or with the use of animals (i.e., horses) to being done by machines with the increasing use of steam power… then fossil fuels… This later lead to the ability to create energy and distribute it through a network to power homes…
with human or animal power to … industry/machines…
Harnessed steam power… fossil fuel power…
If you have a car with 250 horsepower… you have 250 artificial horses powering your car..
A nice timeline of some of the notable events in the history of artificial intelligence.
The Turing test, developed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.
Alan Turing played by Benedict Cumberbatch in the movie “The Imitation Game”.
The imitation game is what Mr. Turing called his test. It later became referred to as the Turing Test.
Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation is a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel such as a computer keyboard and screen so the result would not depend on the machine's ability to render words as speech.[2] If the evaluator cannot reliably tell the machine from the human, the machine is said to have passed the test. The test does not check the ability to give correct answers to questions, only how closely answers resemble those a human would give.
This has been widely influential and widely critized.
To me it clearly is a reflection of the limitations in thinking of the time. Which intelligence are we talking about?
A visual/spatial turing test?
A physical turing test?
An emotional turing test?
A musical turing test?
You get it… since then the idea of the Turing Test has been applied across many different ‘intelligences”.
In 1997 IBM’s Deep Blue beat Kasparov a World Chess Champion.
Google Brain developed a 75% accuracy in identifying cats on YouTube
Learn more at https://deeplearning4j.org/ai-machinelearning-deeplearning
Machine learning and Deep Learning fall under Artificial Intelligence, but not all artificial intelligence can learn. Many AI applications are programmed to be the way they are.
Machine learning is a subset of Artificial Intelligence with the added benefit of being able to improve itself as it gathers more data to improve.
Deep learning is an advanced subset of machine learning. Deep learning tends to involve deep artificial neural networks that loosely mimic the multi-layer structure of a human brain.
Earlier this year (2017)… AlphaGo… an AI system by DeepMind (a company Google acquired a while back) beat the World’s top Go player.
Go is the most complex game we have with more possible moves than there are atoms in the earth…
How is AI being utilized in the last 2-ish years
Hospitals… used to diagnose Analyze x-rays better than doctors
Legal office - better than a paralegal
Used to fly the airplanes (average flight only 7 minutes of human control - https://www.nytimes.com/2015/04/07/science/planes-without-pilots.html?_r=0
Used to learn and optimize the temp in your home
Used in the search engines you utilize every day
Used to play games - AlphaGo -
Photo recognition
Used to determine the traffic to work and automatically tell you when you should leave to get there on time
Controlling email spam and
generating auto replies - https://blog.google/products/gmail/computer-respond-to-this-email/
Self driving cars
AlphaGo Zero
Previous versions of AlphaGo initially trained on thousands of human amateur and professional games to learn how to play Go. AlphaGo Zero skips this step and learns to play simply by playing games against itself, starting from completely random play. In doing so, it quickly surpassed human level of play and defeated the previously published champion-defeating version of AlphaGo by 100 games to 0.
AlphaGo Zero
AlphaGo Zero
Job loss...
Militairy applications
Countires are competing to be first….
Information from AskThePublic.com
In the next 10-20 years
https://www.marketwatch.com/story/this-chart-spells-out-in-black-and-white-just-how-many-jobs-will-be-lost-to-robots-2017-05-31
https://futureoflife.org/background/benefits-risks-of-artificial-intelligence/
More information
Probability of job being taken over by AI.
https://public.tableau.com/profile/mckinsey.analytics#!/vizhome/AutomationBySector/WhereMachinesCanReplaceHumans
You may have heard the saying crap in = crap out.
The people behind the AI are probably our biggest threat.
If this guy is programming our AI… then we have problems!
You had me at… “Do Your Laundry” :)
Also - http://www.zdnet.com/article/microsoft-using-ai-to-empower-people-living-with-disabilities/
The personal computer was a big disruptive trend in the 1970’s and then in the late 1980’s the Web was ground breaking.
Then in the last 10 years it has been the age of mobile. Well now we are about to go through another major shift. The shift to AI.
I wrote an article back in 2015… talking about future trends of digital marketing and where I saw that going… and I shared the concept of the…
The personal computer was introduced in the early 1970’s
Then in 1989 the World Wide Web was created.
Then in the mid 90’s the smartphone was introduced and it really took off near the end of …. 2000’s
Now, we are at the start of the AI revolution…
This year specifically there have been major advancements in technology… Google’s Deepmind AI beat a legendary Go champion for the first time in history.
Let’s talk a little about what the future of digital marketing holds.
You don’t need a crystal ball to see where we’re headed, you just need some common sense and a strong understanding of human behavior.
As you know our industry is constantly changing… that’s one of the reasons having a customer centric strategy is so important. Having a customer centric marketing strategy allows you to focus in the midst of the storm of change and not be distracted by shiny new toys or tactics..
I want to let you know that I believe we’re on the precipice of the biggest fundamental shift in digital marketing and how we’ve been interacting with digital media.
Within the area of digital marketing, my main area of expertise is SEO (Search Engine Optimization) which involves Search Engines that are utilizing artificial intelligence, Machine Learning & deep learning to improve it’s platforms.
Shared the concept of the 3 P’s… these stand for Personalized, Predictive & Proactive.
We’ve seen personalization advance quite a bit and expect it to continue to grow…
Predictive is huge… predictive lead scoring, predicting consumer behavior, RankBrain is predicting search intent…
The biggest fundamental shift… is the “Proactive” part... Let me explain
Mashable was asking about the future trends in mobile and I shared some of my thoughts on Google, Apple, Facebook, etc…. And was lucky enough to get quoted…
Here’s what I said…
“The goal of all of these companies is to become the best personal assistant you’ve ever had and in large part to provide personalized information and ads proactively before a user even makes a request. This represents a fundamental shift in the way we think about mobile marketing.”
-------
And they were asking about the future of mobile… Now what I’m talking about applies to more than just mobile. Regardless I got on Mashable… SWEET.
If you want to know where the future is going look at some of the largest players and see where they are investing their time and money… what companies are they buying… who are they hiring, etc.
The combination of investments in NLP (Natural Language Processing), Machine Learning, Deep Learning & AI is making these companies poised to bring this guy to you..
Did anybody watch the #madebygoogle event where they demoed Google Home? Google Assistant is built right in.
Now of course… This is bigger than mobile in that it won’t be limited to just mobile… with the rise of the Internet of Things… Your personal assistant will be able to (if you give it permission) listen and assist you across devices from your smartwatch to your laptop, your TV your car and other enabled home devices.
The digital personal assistant is groundbreaking in it’s own right, but the fundamental shift I’m talking about is not just the personal assistant…
The shift I’m referring to is when this personal assistant goes from a “reactive” state to a “proactive” state.
This is what I imagine my personal assistant will look like… living inside all of my devices... constantly working.. Never sleeping (hence the coffee)
I call him Jarvis (for obvious reasons)....
What do I mean by going from a reactive to a proactive state?
Well, currently we have to swipe, click a button or make a voice command to set a reminder or …. In the not too distant future… here is a conversation I see myself having with Jarvis.
While having my morning coffee :)
Of course Apple created… a “major new iOS initiative” that goes by the codename PROACTIVE… a personal assistant that’s far smarter than Siri’s current incarnation.