Embed code
i uh first of all thank you for the stock uh i have a quick question of you develops over here to score
or does it to target i don't really know this is that would be great better event i think at the moment it
does not detect irony but obviously this is um one of the
things that we have a narrator like i said with
um with specialised data um from whatever customary
might have that would be interested
in this week and train the model that would detect irony well
me too and your questions or
oh there are two or correct
a minimum standards uh for questionable chopped so data uh_huh uh uh so what kind of that to you
it from the top converse or some user customer and the uh uh i'm pretty sure
you do it's something um how to use you you mean aborts so if you
hi dennis um so uh things requesting an uh yeah
so we do take a yeah there's it
there's also matter data coming with the chats obviously it we don't have the name of the customer unless
they they provided voluntarily or unless it's in the text
mentioned somewhere um there is location uh um
maybe language things like that um for the chats this
is something that uh obviously that we're looking into
um we're working very closely with e. p. f. l. i'm not sure if you've heard that uh says
come recently opened a lab at the p. f. l. it's got that has come digital that
and for this lab we planned to um invest
a lot of money in in research um
in various areas and and artificial intelligence specifically natural language presses presses thing is one of them
oh a chat part a case it is part of
this research that is that has very recently started
no yeah we'll use this data in order to um
develop uh first of all uh a generic chart
but and then look into how you can personalise it to the to the uh a customer
but we haven't come from for more question order or we take first of all
hello ah how you interested in day sentiment analysis part
of your stolen our application maybe can you explain
a bit more how are you doing and how easy what elements are you conceding yeah sure so
maybe i should mention this uh this on our
project started very small so uh about
a year and a half ago and it was a six month project uh with
to developers me doing the data set and when i bring different
so um yeah not very uh not a lot of
resources and we started a very simple i mean you could
say we didn't even use a highway we had uh
uh i'm dictionary of words that were annotated with sentiment and
we did calculated a score based on that then
i had the same time we started internally gathering uh
data um that would be labelled by by employees
well we had some um feedback from customers that unfortunately we're not able
to to put on crowd surfing platforms because it you know
at my data and they're not allowed to to be published um so we
did this with them plays obviously it's not easy seen since people have
for other things to do it and sit down and labels for you
but we did manage together as some data in this way and then we is this um
mm to feed 'em a classifier from the stanford korean out the library
and so currently the model the is used in stoner is
based on this data and a quarter an l. p.
sore backs well thank you
oh thank you for the presentations i have um high level non technical question
what about privacy because i saw that you actually log user data is
their way where we take that we accept as is or is it
automatic from the fact that it's anonymous because even though it's anonymous
from the data we can collect we can already profile the user somehow with
the location and the the behaviour yes so um at the moment
at the moment the application is not i'm open to the public so there is
you cannot take a box in finland you agree but i'm probably there will be something like this
yeah i mean if if it becomes public and like i said we um uh oh
we sat down with our legal department and um came up with
a list of of conditions that we need to fulfil in
order to be able to um nice this data and this included among the other is the annotation part that i mentioned
next question real sorta recorder works well
probably across the room
i i uh i mean the so um i have a question about the
so it's now it's accretion that this is done and you're right this
is something you lied or you're looking at but not yet
yes you don't have it yeah yes now we don't have but um i know
the p. though is is you automate cold so actually replace the first level
which is mainly the port all of that arise in the incident and
assigning it still sucking the corresponding second level team which has
the deeper insight into it as you call so mainly
um it away this porch from men all in to admit that we
yeah it's not an explicit goal uh i can imagine that it might happen as a side effect
um it hasn't yet happened it's eskimo as i mentioned we're already using this
says and a few months and am to press the permanence has come up
um we'll see end up um i guess say there there
is potential there for the first level to be replaced
so who do we have to we have to par for wallace question of war
yes there as well
but i think you're presentation rather interesting do learn it's just come to
to open source some project booked maybe like this one other little
oh and version i cannot provide uh and um binding answer
at but um as i've already mentioned to uh
uh i seek name we're we're using cornell b. which is open
stuff source software weary i guess most of our or
oh the components that we're using open source um so this
is definitely something that we're looking into but like i
said we're and the beginning but we're not competing with google
and phase begins on so there's not really any
um intermediate incentive to do this
who are out there was a rubber i'll or or or
it's just to to pick up all you mention but you're not allowed to puzzles custom
what are the rules regulations with slim backing up a little are you what are you operating with him
though when you turkeys all these they're all they're very
very strict in switzerland and we've had to
have some quite heated discussion we legal about it um
i think for us on at the moment
we were able to get away with doing it because it's a internal only
but as soon as it gets out we we will need to do a lot more so
um hum like i can mention we're not allow uh we not
allowed to have any um custom identification in the data
um if someone comes to us and is asking whether
we're processing their data we need to be able
to answer does and we need to be able to stop doing it if they so request
um there are also some some um a
constraint that don't come from switzerland
from just law for example for critter um if you gather tweaked and someone deletes there treat
you need to be able to detect this and delete also in your
system oh there are lots of things and you can imagine what we're doing our best
so that was the last question so

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Conference program

Keynote
Jean-Baptiste Clion, Coordinator DevFest Switzerland
26 Nov. 2016 · 9:40 a.m.
How to convince organization to adopt a new technology
Daria Mühlethaler, Swisscom / Zürich, Switzerland
26 Nov. 2016 · 10:14 a.m.
Q&A - How to convince organization to adopt a new technology
Daria Mühlethaler, Swisscom / Zürich, Switzerland
26 Nov. 2016 · 10:38 a.m.
Animations for a better user experience
Lorica Claesson, Nordic Usability / Zürich, Switzerland
26 Nov. 2016 · 11:01 a.m.
Q&A - Animations for a better user experience
Lorica Claesson, Nordic Usability / Zürich, Switzerland
26 Nov. 2016 · 11:27 a.m.
Artificial Intelligence at Swisscom
Andreea Hossmann, Swisscom / Bern, Switzerland
26 Nov. 2016 · 1:01 p.m.
Q&A - Artificial Intelligence at Swisscom
Andreea Hossmann, Swisscom / Bern, Switzerland
26 Nov. 2016 · 1:29 p.m.
An introduction to TensorFlow
Mihaela Rosca, Google / London, England
26 Nov. 2016 · 2:01 p.m.
Q&A - An introduction to TensorFlow
Mihaela Rosca, Google
26 Nov. 2016 · 2:35 p.m.
Limbic system using Tensorflow
Gema Parreño Piqueras, Tetuan Valley / Madrid, Spain
26 Nov. 2016 · 3:31 p.m.
Q&A - Limbic system using Tensorflow
Gema Parreño Piqueras, Tetuan Valley / Madrid, Spain
26 Nov. 2016 · 4:04 p.m.
How Docker revolutionized the IT landscape
Vadim Bauer, 8gears AG / Zürich, Switzerland
26 Nov. 2016 · 4:32 p.m.
Closing Remarks
Jacques Supcik, Professeur, Filière Télécommunications, Institut iSIS, HEFr
26 Nov. 2016 · 5:11 p.m.
Rosie: clean use case framework
Jorge Barroso, Karumi / Madrid, Spain
27 Nov. 2016 · 10:05 a.m.
Q&A - Rosie: clean use case framework
Jorge Barroso, Karumi / Madrid, Spain
27 Nov. 2016 · 10:39 a.m.
The Firebase tier for your app
Matteo Bonifazi, Technogym / Cesena, Italy
27 Nov. 2016 · 10:49 a.m.
Q&A - The Firebase tier for your app
Matteo Bonifazi, Technogym / Cesena, Italy
27 Nov. 2016 · 11:32 a.m.
PERFMATTERS for Android
Hasan Hosgel, ImmobilienScout24 / Berlin, Germany
27 Nov. 2016 · 11:45 a.m.
Q&A - PERFMATTERS for Android
Hasan Hosgel, ImmobilienScout24 / Berlin, Germany
27 Nov. 2016 · 12:22 p.m.
Managing your online presence on Google Search
John Mueller, Google / Zürich, Switzerland
27 Nov. 2016 · 1:29 p.m.
Q&A - Managing your online presence on Google Search
John Mueller, Google / Zürich, Switzerland
27 Nov. 2016 · 2:02 p.m.
Design for Conversation
Henrik Vendelbo, The Digital Gap / Zurich, Switzerland
27 Nov. 2016 · 2:30 p.m.
Q&A - Design for Conversation
Henrik Vendelbo, The Digital Gap / Zurich, Switzerland
27 Nov. 2016 · 3:09 p.m.
Firebase with Angular 2 - the perfect match
Christoffer Noring, OVO Energy / London, England
27 Nov. 2016 · 4:05 p.m.
Q&A - Firebase with Angular 2 - the perfect match
Christoffer Noring, OVO Energy / London, England
27 Nov. 2016 · 4:33 p.m.
Wanna more fire? - Let's try polymerfire!
Sofiya Huts, JustAnswer / Lviv, Ukraine
27 Nov. 2016 · 5 p.m.
Q&A - Wanna more fire? - Let's try polymerfire!
Sofiya Huts, JustAnswer / Lviv, Ukraine
27 Nov. 2016 · 5:38 p.m.
Closing Remarks
Panel
27 Nov. 2016 · 5:44 p.m.