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AI – Technology for People | Philipp Jandrisevits | TEDxTUWien


we’re living really in exciting times

we’re living really in exciting times exciting times of unprecedented change

exciting times of unprecedented change

exciting times of unprecedented change in technology and we saw traditional

in technology and we saw traditional

in technology and we saw traditional technologies taking off getting the

technologies taking off getting the

technologies taking off getting the maturity and becoming laggards but in

maturity and becoming laggards but in

maturity and becoming laggards but in the same time we see new technologies

the same time we see new technologies

the same time we see new technologies with a pace of change and then

with a pace of change and then

with a pace of change and then innovation accelerating we’ve never seen

innovation accelerating we’ve never seen

innovation accelerating we’ve never seen before and they are hooking up so and

before and they are hooking up so and

before and they are hooking up so and we’re getting this kind of s-curves here

we’re getting this kind of s-curves here

we’re getting this kind of s-curves here and but maybe in simple words implicit

and but maybe in simple words implicit

and but maybe in simple words implicit we are now seeing exponentially growing

we are now seeing exponentially growing

we are now seeing exponentially growing technology but if you just think about

technology but if you just think about

technology but if you just think about this that questions will be raised about

this that questions will be raised about

this that questions will be raised about opportunities but as well on the same

opportunities but as well on the same

opportunities but as well on the same time about risks and the most dominant

time about risks and the most dominant

time about risks and the most dominant question maybe I will distract Inc

question maybe I will distract Inc

question maybe I will distract Inc the apocalypse artificial intelligence

the apocalypse artificial intelligence

the apocalypse artificial intelligence do we see the destruction of mankind by

do we see the destruction of mankind by

do we see the destruction of mankind by a terminator like Arnold Schwarzenegger

a terminator like Arnold Schwarzenegger

a terminator like Arnold Schwarzenegger in the movies or will we have something

in the movies or will we have something

in the movies or will we have something like the free laws of robotics somehow

like the free laws of robotics somehow

like the free laws of robotics somehow regulating this kind of things and if

regulating this kind of things and if

regulating this kind of things and if you ask me personally I would say the

you ask me personally I would say the

you ask me personally I would say the future will be bright but why I am that

future will be bright but why I am that

future will be bright but why I am that confident about this simply by two

confident about this simply by two

confident about this simply by two hypotheses so first hypothesis is about

hypotheses so first hypothesis is about

hypotheses so first hypothesis is about we are already living in a world full of

we are already living in a world full of

we are already living in a world full of weak AI nothing harmless

weak AI nothing harmless

weak AI nothing harmless nothing scary but we already live in

nothing scary but we already live in

nothing scary but we already live in them and you can’t stop it anymore

them and you can’t stop it anymore

them and you can’t stop it anymore the second is we saw a paradigm change

the second is we saw a paradigm change

the second is we saw a paradigm change namely technologies for the people not

namely technologies for the people not

namely technologies for the people not people are working for the technology

people are working for the technology

people are working for the technology and based on these two hypotheses I’d

and based on these two hypotheses I’d

and based on these two hypotheses I’d like to explain you a little bit about

like to explain you a little bit about

like to explain you a little bit about what we’ll see in the future and how to

what we’ll see in the future and how to

what we’ll see in the future and how to prepare a little bit for this and let me

prepare a little bit for this and let me

prepare a little bit for this and let me double click first on the first

double click first on the first

double click first on the first hypothesis but we go

hypothesis but we go

hypothesis but we go so in general this is the

so in general this is the

so in general this is the differentiation between weaker and

differentiation between weaker and

differentiation between weaker and stronger some may call it narrower and

stronger some may call it narrower and

stronger some may call it narrower and generally I but this doesn’t matter it’s

generally I but this doesn’t matter it’s

generally I but this doesn’t matter it’s the same so we care is about behaving

the same so we care is about behaving

the same so we care is about behaving intelligently creating some algorithms

intelligently creating some algorithms

intelligently creating some algorithms models who work intelligently but having

models who work intelligently but having

models who work intelligently but having no conscience no experience like man the

no conscience no experience like man the

no conscience no experience like man the other one stronger generally I or some

other one stronger generally I or some

other one stronger generally I or some may call it super intelligence

may call it super intelligence

may call it super intelligence artificial AI it’s behaving as well

artificial AI it’s behaving as well

artificial AI it’s behaving as well intelligently but it’s having conscience

intelligently but it’s having conscience

intelligently but it’s having conscience is having an AI mind is having a voice

is having an AI mind is having a voice

is having an AI mind is having a voice in his head and it’s still a long and

in his head and it’s still a long and

in his head and it’s still a long and hard tough journey to come from weak AI

hard tough journey to come from weak AI

hard tough journey to come from weak AI to stronger and at the moment we don’t

to stronger and at the moment we don’t

to stronger and at the moment we don’t see this coming

see this coming

see this coming so we are living in a world of weak I’m

so we are living in a world of weak I’m

so we are living in a world of weak I’m not harmful not scary sometimes crappy

not harmful not scary sometimes crappy

not harmful not scary sometimes crappy and bad implemented some of you may

and bad implemented some of you may

and bad implemented some of you may remember the Google picture fail the

remember the Google picture fail the

remember the Google picture fail the gorillas fail here in the right side

some have may heard or seen Microsoft

some have may heard or seen Microsoft training Dante the Twitter bot who

training Dante the Twitter bot who

training Dante the Twitter bot who became sexist racist homophobic all at

became sexist racist homophobic all at

became sexist racist homophobic all at once so and we will see this in the

once so and we will see this in the

once so and we will see this in the future as well so there’s still a long

future as well so there’s still a long

future as well so there’s still a long and hard you wanted to go but still

and hard you wanted to go but still

and hard you wanted to go but still companies are heavily investing into AI

companies are heavily investing into AI

companies are heavily investing into AI it may be Facebook Amazon Microsoft but

it may be Facebook Amazon Microsoft but

it may be Facebook Amazon Microsoft but most of all its googling and this is a

most of all its googling and this is a

most of all its googling and this is a quote from assume the picture from 2015

quote from assume the picture from 2015

quote from assume the picture from 2015 from the developer conference IO who

from the developer conference IO who

from the developer conference IO who said we will move from a mobile first to

said we will move from a mobile first to

said we will move from a mobile first to an AI first world just think about this

an AI first world just think about this

an AI first world just think about this most of your digital natives grown up

most of your digital natives grown up

most of your digital natives grown up with your smartphone and we’re now

with your smartphone and we’re now

with your smartphone and we’re now moving from a mobile-first world to an

moving from a mobile-first world to an

moving from a mobile-first world to an AI first world this was a tipping point

AI first world this was a tipping point

AI first world this was a tipping point in the strategy of Google last week

in the strategy of Google last week

in the strategy of Google last week the Google’s developer conference io

the Google’s developer conference io

the Google’s developer conference io they presented the focus on Google ins

they presented the focus on Google ins

they presented the focus on Google ins combining augmented reality with

combining augmented reality with

combining augmented reality with artificial intelligence they presented

artificial intelligence they presented

artificial intelligence they presented the super computer based on TPU stands

the super computer based on TPU stands

the super computer based on TPU stands the processing units a new architecture

the processing units a new architecture

the processing units a new architecture augmenting CPUs for machine learning or

augmenting CPUs for machine learning or

augmenting CPUs for machine learning or some maybe popular things like the

some maybe popular things like the

some maybe popular things like the Google Google’s Home Entertainment but

Google Google’s Home Entertainment but

Google Google’s Home Entertainment but all of them with one denominator

all of them with one denominator

all of them with one denominator artificial intelligence inside but

artificial intelligence inside but

artificial intelligence inside but there’s still a big hype about AI and if

there’s still a big hype about AI and if

there’s still a big hype about AI and if we have a look on the capabilities of AI

we have a look on the capabilities of AI

we have a look on the capabilities of AI and you trim it down to some similar

and you trim it down to some similar

and you trim it down to some similar services you can demystify this so

services you can demystify this so

services you can demystify this so capabilities of AI services may be

capabilities of AI services may be

capabilities of AI services may be language processing visual processing

language processing visual processing

language processing visual processing and processing of sound and if you drill

and processing of sound and if you drill

and processing of sound and if you drill down there it’s a simple services like

down there it’s a simple services like

down there it’s a simple services like object detection object tracking phase

object detection object tracking phase

object detection object tracking phase recognition natural language processing

recognition natural language processing

recognition natural language processing and so on and so forth and you can pick

and so on and so forth and you can pick

and so on and so forth and you can pick these kind of services bundle them and

these kind of services bundle them and

these kind of services bundle them and create a new service create something

create a new service create something

create a new service create something totally new disruptive providing

totally new disruptive providing

totally new disruptive providing experience to your customers one of the

experience to your customers one of the

experience to your customers one of the most obvious is for sure the autonomous

most obvious is for sure the autonomous

most obvious is for sure the autonomous car so you can have a big object

car so you can have a big object

car so you can have a big object tracking for the way how the car is

tracking for the way how the car is

tracking for the way how the car is driving or object recognition to

driving or object recognition to

driving or object recognition to recognize before a crash whether it’s a

recognize before a crash whether it’s a

recognize before a crash whether it’s a little child playing or just a big rock

little child playing or just a big rock

little child playing or just a big rock there and the cars making the decision

there and the cars making the decision

there and the cars making the decision and the trade of what to do but they are

and the trade of what to do but they are

and the trade of what to do but they are as well some use cases and we see

as well some use cases and we see

as well some use cases and we see companies in our daily supporting our

companies in our daily supporting our

companies in our daily supporting our daily habits using artificial

daily habits using artificial

daily habits using artificial intelligence so if you want to travel

intelligence so if you want to travel

intelligence so if you want to travel the most beautiful city in the world

the most beautiful city in the world

the most beautiful city in the world Vienna you may use a beam beam and if

Vienna you may use a beam beam and if

Vienna you may use a beam beam and if you do so the pricing algorithm is based

you do so the pricing algorithm is based

you do so the pricing algorithm is based on artificial

on artificial

on artificial elegance it’s maybe take you some

elegance it’s maybe take you some

elegance it’s maybe take you some popular elements like the gear location

popular elements like the gear location

popular elements like the gear location data of course where are you going to

data of course where are you going to

data of course where are you going to stay in Vienna it’s maybe a little

stay in Vienna it’s maybe a little

stay in Vienna it’s maybe a little different but as well some more obscure

different but as well some more obscure

different but as well some more obscure like the way heart picture taken because

like the way heart picture taken because

like the way heart picture taken because it’s attracting people in a different

it’s attracting people in a different

it’s attracting people in a different way and have been be a quiet crash

way and have been be a quiet crash

way and have been be a quiet crash better in 2012 and they’re heavily

better in 2012 and they’re heavily

better in 2012 and they’re heavily investing still and this may be another

investing still and this may be another

investing still and this may be another question

question

question who even you knows tinder or Zeus or I

who even you knows tinder or Zeus or I

who even you knows tinder or Zeus or I ask it in the different way who has

ask it in the different way who has

ask it in the different way who has heard of this but no is not using this

yeah that’s what I thought all of these

yeah that’s what I thought all of these companies are heavily reliant Big Data

companies are heavily reliant Big Data

companies are heavily reliant Big Data they’ll rely on artificial intelligence

they’ll rely on artificial intelligence

they’ll rely on artificial intelligence to try to find the perfect fit to

to try to find the perfect fit to

to try to find the perfect fit to provide an experience for you not for

provide an experience for you not for

provide an experience for you not for you but the ones were using this to

you but the ones were using this to

you but the ones were using this to satisfy them and I hope I can convince

satisfy them and I hope I can convince

satisfy them and I hope I can convince you that we’re already living in a world

you that we’re already living in a world

you that we’re already living in a world full of weak AI and it’s not harmless

full of weak AI and it’s not harmless

full of weak AI and it’s not harmless it’s relatively harmless the worst thing

it’s relatively harmless the worst thing

it’s relatively harmless the worst thing that could happen to use a bad date but

that could happen to use a bad date but

that could happen to use a bad date but that’s life so but let me talk a little

that’s life so but let me talk a little

that’s life so but let me talk a little bit about my second hypothesis we

bit about my second hypothesis we

bit about my second hypothesis we managed or saw a paradigm change from

managed or saw a paradigm change from

managed or saw a paradigm change from people adopting technology towards

people adopting technology towards

people adopting technology towards technology adopting to people and there

technology adopting to people and there

technology adopting to people and there are five trends underlying this aspiring

are five trends underlying this aspiring

are five trends underlying this aspiring the future first trend is a ice-t new UI

the future first trend is a ice-t new UI

the future first trend is a ice-t new UI so we previously were used to work on

so we previously were used to work on

so we previously were used to work on desktops on mobile phones etc now in the

desktops on mobile phones etc now in the

desktops on mobile phones etc now in the future we’re going to use Alexa quad on

future we’re going to use Alexa quad on

future we’re going to use Alexa quad on whatever it is as a digital assistant

whatever it is as a digital assistant

whatever it is as a digital assistant we’re talking to robots and artificial

we’re talking to robots and artificial

we’re talking to robots and artificial intelligence will be the new user

intelligence will be the new user

intelligence will be the new user interface of the future the second hand

interface of the future the second hand

interface of the future the second hand it’s all about platforms previously you

it’s all about platforms previously you

it’s all about platforms previously you had strategic partnerships between

had strategic partnerships between

had strategic partnerships between companies working together while we now

companies working together while we now

companies working together while we now see a huge

see a huge

see a huge towards ecosystems and platforms working

towards ecosystems and platforms working

towards ecosystems and platforms working together it’s nothing new

together it’s nothing new

together it’s nothing new some of the most known startups in the

some of the most known startups in the

some of the most known startups in the world like Airbnb uber purely relied the

world like Airbnb uber purely relied the

world like Airbnb uber purely relied the business on platforms 70% of the unique

business on platforms 70% of the unique

business on platforms 70% of the unique ones in Silicon Valley have a platform

ones in Silicon Valley have a platform

ones in Silicon Valley have a platform business but if you just think about

business but if you just think about

business but if you just think about this to do so you require big data and

this to do so you require big data and

this to do so you require big data and if you have a hell lot of data you want

if you have a hell lot of data you want

if you have a hell lot of data you want to monetize this data and how to do this

to monetize this data and how to do this

to monetize this data and how to do this but if using artificial intelligence

but if using artificial intelligence

but if using artificial intelligence machine learning and so on and so forth

machine learning and so on and so forth

machine learning and so on and so forth data is the new oil and artificial

data is the new oil and artificial

data is the new oil and artificial intelligence will help you to monetize

intelligence will help you to monetize

intelligence will help you to monetize this the third trend is about how we’re

this the third trend is about how we’re

this the third trend is about how we’re going to work we see that people the

going to work we see that people the

going to work we see that people the companies are moving to an on-demand

companies are moving to an on-demand

companies are moving to an on-demand labor

labor

labor it’s not about starting with the age of

it’s not about starting with the age of

it’s not about starting with the age of 25 in a company until you retire

25 in a company until you retire

25 in a company until you retire it’s about having a liquid or fluid

it’s about having a liquid or fluid

it’s about having a liquid or fluid workforce a flexible workforce I have

workforce a flexible workforce I have

workforce a flexible workforce I have it’s called but the workforce the

it’s called but the workforce the

it’s called but the workforce the marketplace will dramatically change but

marketplace will dramatically change but

marketplace will dramatically change but you need to manage the supply and demand

you need to manage the supply and demand

you need to manage the supply and demand and how to do so for example MasterCard

and how to do so for example MasterCard

and how to do so for example MasterCard Airbus the World Bank they are using

Airbus the World Bank they are using

Airbus the World Bank they are using gigster

gigster

gigster as a platform to manage the supply and

as a platform to manage the supply and

as a platform to manage the supply and demand and to attract on-demand labour

demand and to attract on-demand labour

demand and to attract on-demand labour gigster

gigster

gigster not surprisingly is using artificial

not surprisingly is using artificial

not surprisingly is using artificial intelligence to do it in a very

intelligence to do it in a very

intelligence to do it in a very efficient way the fourth trend is that

efficient way the fourth trend is that

efficient way the fourth trend is that the design and interaction will be of a

the design and interaction will be of a

the design and interaction will be of a small group of people or individuals

small group of people or individuals

small group of people or individuals we’re coming from a world where design

we’re coming from a world where design

we’re coming from a world where design is made for every everybody independent

is made for every everybody independent

is made for every everybody independent of the behavior of the live stage of the

of the behavior of the live stage of the

of the behavior of the live stage of the value to the company and this is not

value to the company and this is not

value to the company and this is not changing based on micro segments or

changing based on micro segments or

changing based on micro segments or individual habits design is going to

individual habits design is going to

individual habits design is going to change this requires the processing

change this requires the processing

change this requires the processing of big data heat and processing

of big data heat and processing

of big data heat and processing streaming architecture and the best

streaming architecture and the best

streaming architecture and the best companies in the world are using

companies in the world are using

companies in the world are using technologies like this to really provide

technologies like this to really provide

technologies like this to really provide an experience to individual people or at

an experience to individual people or at

an experience to individual people or at least micro segments with small group of

least micro segments with small group of

least micro segments with small group of people are behaving in the same way and

people are behaving in the same way and

people are behaving in the same way and the last trend is about creating new

the last trend is about creating new

the last trend is about creating new industries setting new standards Netflix

industries setting new standards Netflix

industries setting new standards Netflix started as a DVD rental company last

started as a DVD rental company last

started as a DVD rental company last year they won eight or nine Emmys I

year they won eight or nine Emmys I

year they won eight or nine Emmys I don’t know now exactly but how they are

don’t know now exactly but how they are

don’t know now exactly but how they are doing this Netflix is using artificial

doing this Netflix is using artificial

doing this Netflix is using artificial intelligence to get information

intelligence to get information

intelligence to get information analytics to get information but the

analytics to get information but the

analytics to get information but the people what you want to see what should

people what you want to see what should

people what you want to see what should they recommend to what kind of people

they recommend to what kind of people

they recommend to what kind of people and the way how they’re going to produce

and the way how they’re going to produce

and the way how they’re going to produce the movies the serious it’s mainly based

the movies the serious it’s mainly based

the movies the serious it’s mainly based on artificial intelligence and companies

on artificial intelligence and companies

on artificial intelligence and companies working in that way will win the race so

working in that way will win the race so

working in that way will win the race so I hope I could a little convince you

I hope I could a little convince you

I hope I could a little convince you about technology will will transform our

about technology will will transform our

about technology will will transform our life to the good and you saw as well one

life to the good and you saw as well one

life to the good and you saw as well one common denominator in this which is

common denominator in this which is

common denominator in this which is artificial intelligence will be the most

artificial intelligence will be the most

artificial intelligence will be the most dominant technology in the future

dominant technology in the future

dominant technology in the future ultimately you have to ask yourself are

ultimately you have to ask yourself are

ultimately you have to ask yourself are you ready are you ready for a future or

you ready are you ready for a future or

you ready are you ready for a future or a world where maybe a future job does

a world where maybe a future job does

a world where maybe a future job does not exist yet has not been invented it’s

not exist yet has not been invented it’s

not exist yet has not been invented it’s up to you you have to prepare yourself

up to you you have to prepare yourself

up to you you have to prepare yourself because society is not prepared

society was never prepared independent

society was never prepared independent if it was the Industrial Revolution or

if it was the Industrial Revolution or

if it was the Industrial Revolution or any other change it’s up to you and

any other change it’s up to you and

any other change it’s up to you and please do me one favor in 1/4 oh I have

please do me one favor in 1/4 oh I have

please do me one favor in 1/4 oh I have one favor and asked for you

one favor and asked for you

one favor and asked for you prepare yourself thank you

prepare yourself thank you

prepare yourself thank you [Applause]

[Applause]

[Applause] [Music]

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