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Watson for You
Jérôme de Nomazy, GM & IBM Watson
Tuesday, Aug. 28, 2018 · 4:38 p.m. · 18m 08s
Presentation of IBM Watson in the context of the International Create Challenge 2018 (ICC'2018)
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yeah thank you for a while invited me under it yeah i understand the last year before the the party tonight
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it won't be too difficult and then maybe can use you can help you to
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put your project you know all on the moon because it's the object up at least we
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uh so i i'm the only nemesis um based engine you i'm
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in charge of uh what some business development initiatives a local
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so i'm i'm sure you'll on her but uh yeah but
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what's an and uh and i didn't couldn't to technology
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so i want to you know the the marketing stuff and so on this is not the objective and
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um we are potholes you know every week analysts around the world
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part of a microphone gentle to support uh such initiative
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but each is unique which is different uh and this one's quite in it because it
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three week long so you would have time you know to delivered over in the p. and
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which is quite important i believe on top of any business case initiative and all activities
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uh and the idea is to dan for me in nineteen thirteen it is that too
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to give you the chance or to understand that what's on is not only for large companies and
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it is maybe the problem was what some brand that's you know it's all over the us
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a lot of marketing and so on and and people think that this is only for for much continue sentences absolutely
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wrong
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okay uh so i said we are supporting act upon last appointing
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at a initiative that in the pits and we will we will do a this year uh
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with with which we are here so to provide the technology form for those teams
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uh and we have also and drop one of programs you know to to help you with that knows
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yourself with marketing you know with your initiative later on what seems important to know that ah okay
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so i was talking about so are we try not to explain you know what you can do
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a starting to all white and today and give you some some height some things here
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i was talking about going to the moon so just to provide you a an idea of
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a very recent project i don't know if you know this with the rubber name simon
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it's currently you know or in the i. s. s. you know the space
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you know supporting uh and the astronauts there and it has been
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developed by just for an all the all the only the machine and
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uh the the and the f. to ditch all the the hardware
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and we developed or the uh i would say cognitive capabilities there what's funny is that
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every direction the robot as reason after not interaction is coming back to hurt us
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to the cloud enough and then the answers come back so any ads
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with several uh capabilities first it is able to uh to recognise uh uh
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there's several astronauts you know which is much recognition of voice recognition
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and it's also is able to answer as questions but also maybe
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complex question bands of all the protocols they asked to follow
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okay uh doing if they they they have been a lot of experience that a lot of maintenance that
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any supporting then gonna by explaining what they have to do and how they have to do that
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what is important here is
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the use case you know yeah this is not replacing human you can in the
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world would be reading or listening and that that's one a i is mentally
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augmenting human supporting human okay and this is i think when you are thinking what joe use case
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really important you know to think about it
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just if you want about watson
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very whole project you've certainly heard of the about this one you know whether it
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is seven years ago uh a machine winning and joe probably in the us
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you know and serene understanding question answering question quickly
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and also the marketing yeah some confidence e. d. you need you need sensor which is you know that
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we are not anymore in the dim at deterministic world but more in the statistic for which you know what with the act
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so this ways uh this was a challenge meaning that this
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is to demonstrate the capabilities of of the new technology
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i'm the same term of architecture this was definitely not for business you
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know it was you know a very monolithic stuff you know
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really big machine because it was not connected to internet whatever that everything was what he and yet when survey we quickly
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and we worked a lot and we develop you know a lot of capabilities there
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to be a a bad ah no available to everybody you know
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and this is what uh you should you you could do and we demonstrated a few weeks ago this project debater so this
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is a machine able to date on this but specific topic with
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unit so we'll see more about also you know understanding
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uh a long way that's one that also generating you know language
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unable to to have some pretty interesting logic of the conceptual oven
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this is still a challenge meaning that this is not something that uh we should they deliver
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you know on the market that it would come with me that'd show the the direction okay
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and uh that this is like when we see a a a girl showing steve for
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stuff and so one this is all with the same you know this is sh
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they we show something and then you know that it's going to be available for for you
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uh this is something i'm done i i explain
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uh
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quickly uh the main focus of of what's an initially is not you know
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pew national owning it leverage machine learning and provide capabilities for business
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meaning that you don't have to code or nothing you just use service
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either a. p. i. to analyse a video to understand text
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to understanding uh ought to do a a chance what was talking about chad button someone so you
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you just and ends those capabilities for with your expertise and with your data
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as in all your your your projects which are they i base
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you need expertise but very important and you need data and if you have only one of us over this
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it won't work you know or if you have good big that but well wrong expertise we not trained the data efficiently
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so it's quite important that and and
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and and that's an capabilities helps you to go fast you know living in that
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not focusing on a few you know a a machine not may not
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be planning a capabilities okay you can also do to do that
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uh with with a platform and i think it can be interesting in such in seven project for you
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but you can see you can choose those capabilities uh to go fast
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so just a few project or use cases we do to give you some ideas
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a million that
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health industry is it was the first one after the job and
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uh maybe call all doctor oncologist solar game at the t.
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v. and understand this is exactly what do what they need they have so much data and many we should this is
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uh and such kind of of studies over of a military because or whatever are are a lot of politicians
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and they can't follow the wreaths of publications you know and then you turn the up to date
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when you have uh when when you have a patient you need to provide the best treatment
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based on the like the latest literature okay and these kind of to be providing that in that
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you provide all information about your patient can be instructor instructor they in for
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a format and then the system would be able to provide uh
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a different uh in medication or treatment plant
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in always confidence calling physical or okay
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uh based on the seated at you and if and it is updated every
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month or every week and this is this is the value value
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here think oh always about the value value is not to
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be the the the the final um treatment this is
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the and the the value wheezing the confidence and in if you didn't it
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because if it's if you show so that to you know a very uh from third world uh on colleges that with
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a lot of experience he knows the answer okay because he's aware of a lot of things and so on
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so what what is interesting is that you would see that they always a document because he published maybe
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two weeks ago with this is the value you know not to to have a wrong wrong stuff
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so this was the first project and then we split to the the the what's and capabilities in
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in three category i was the first one is language so we for the thigh pull here
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uh so the the language everything about language understanding and
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coming up with a uh also personality a test
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language understanding conversation conversation or the capabilities uh
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turn allies are everything about language okay
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then you have what we call signal signal that would voice in h. videos
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uh and sounds uh we did a lot of work with some for uh i don't know uh
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uh make me machine quality at best you know based only on the some okay it works for what
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and then we put each machine running and keep running as a service on the crowd and i would just
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explain that later i think it could be quite useful for you if you want to go fast
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so you may age but okay just
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just to give you
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i think this last with this one is that it's getting a good so if the group picture
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you know but is that power from here and it's a bit but mainly it's it's interesting we were talking about uh
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you know user use case and so when they decided to implement a i not for the
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customer but for the agents for the employees you know to better work and today after
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uh it's alive since nearly one year not not get nine once they do would but rising with their
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own employees to explain that a i and what's an expert is helping them to better work
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okay and that's uh you know in france it's quite a great success to
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do so because employee and employer is is relationship is not very easy
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uh but and and the the result what quite good so this is not complain
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but
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what i want to to to show you when interest for example is that very small companies and started by
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using what's and this one is a ski resorts fifty kilometres from here maybe less you know the implementing
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an assistant to answer a lot of question about the ski resort in winter and summer
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and if it works on on face the messenger and also here but to use
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uh what's than a agent to answer question whether question or whatever questions okay
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and this is what small company and uh this is five of six people and not a lot of money this one is funny
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you much recognition for circulate a people you know you you know new but there was kind
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of chuckle it you you never know what's inside so you just take a picture
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so you recognise the that circulate and then you know what's the and and and you can you can maybe
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but i just chuckle ain't or whatever other so it's a new way to engage you know your your customer very funny thing
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not so easy you know you know we do some image recognition for very
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specific things in maybe car but for truck related not so easy
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because sometimes i exactly the same
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okay and this one is uh it was just it was always to the stuff in the u.
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s. ros and they provide a i based uh advice is legal advice is so you can
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send your case or describe your case maybe sometimes in chat but
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way okay and then it will dig in a lot of you know uh
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a lot of resources you know been expect resources
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regulations uh exist in places and so
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want to provide advice is for legal people you know to be deaf case
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okay what interesting especially in the us or with important to think about the market because in in the market
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in this market you know they're they're they're the they're always based their
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their cases on on previous cases okay it's really really important
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would be any different in in europe uh it was the the the gift that it different from how they do that
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but the average approximately yeah they are fifteen uh
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services base basic services that are available
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when you would you can go now you know and use that for free
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to try it and to implement them to use it and and and quite easy uh
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for different use 'cause we were talking about chad but under for for the for the hotel okay it you have
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and that is that you you can be your understanding bands in the
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promenade diodes uh finding information is someone that you can and aunts
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we still rising but also phone under and language understanding is you have to do you mean a lot of information
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and extract the relevant information provided uh to to the
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assistant okay you just combine those services very easy
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and you it's always based on training when you train your data you need data okay
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and it's not coding you know and then you integrated them so when you want for example
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trying to go fast you know uh for the the the just the result of before
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i did the first you know approval valuing three days you know wheeze integration
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of or a a face to make a quilt or a google on
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and so on and the it was you could get a fork was to integrate with this that
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not to train the system because i had the data i get the the train it so it's quite quite quite easy
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got again but some uh it was not to the visual recognition
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so you can and ends existing but it
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okay good training data
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and then i that's i think which is important because i think you are or you have
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some specific uh a strict or instructor information and you want to be your own models and you want to deploy them
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and today uh yes you can you you have tens of go you are a lot of things you have to write your script and so on
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so we
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we provide some tools where you can
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i'm with the design young people and uh i'll go with
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white you know easy and and manage your method parameters
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okay
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and then you can download the code if you want to run it on a
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on your local machine and so on but you can also the probably
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on what some machine on o. u. penn train one euro on the low moderate
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on what some machine on it and then you can deploy it automatically
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meaning that it will be available for your for your on the court for for it for god and for your business
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so what you own only need you know your data and and you can and and that's what that's that's really
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you know if you know a machine learning and be planning on going and you know how to combine them you
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need for that you know and you need you need to have the skills anyway but you can build that
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run it transmits fifty and then deploy you know without any infrastructure management and i think when you have one week two weeks three weeks
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depends where you wonder project it would help you to go faster you know and to focus on
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your business going to space you know and validation what you can do with your bit
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we can arrange if it's if it's something that uh some scenes
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wants someone coming explaining you know how to do so uh
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for this one off or another one uh another a. p. i. during the three weeks so afford we will do that uh
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uh with pleasure to find the the time but really if this is something that you want
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to do uh we can support uh if it helps you to go faster and
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so
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i'm i'm finished
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so just tripping that what's on for you that you can use it first one is
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the first uh one of the possible often you know go by the end
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uh if if it was question that would be also here tonight if uh if it had
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and then we can provide you know its report if you want to
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use those kind of technology for for for doing this great
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