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00:00:00
hi my name is not very you know it's human behaviour decode it
00:00:06
today the problem is that there is no on automatic and scalable wary
00:00:10
as much as accurate way to understand human behaviour your personality
00:00:15
existing yeah solution they just made a motion i'm happy anger sat that's not enough
00:00:21
second metric test if you are pretty town that it's a total mess it takes you
00:00:25
one hour and they're not actually it's mental assessment is fine that's known scalable
00:00:32
we must be enough from the e. d. i. p. p. fed with that
00:00:35
that the state of the art machine learning tool based on video content
00:00:40
we extract the that's such as voiced and i. t. where you do cats
00:00:44
how you move the respirator frequency and
00:00:47
weekend fair automatically your personality traits
00:00:52
this is a computer vision tech any can be
00:00:55
applied in the very diverse and different industries
00:00:59
think about advertising to understand your audience targets about
00:01:04
autonomous driving instruments even banking whatever equipment industry
00:01:09
we plan to the the path in providing those different industries with
00:01:14
the most scalable and i could way to understand people behaviour
00:01:18
we started with one very specific industry the h. r. tech in recruitment
00:01:23
our product is straightforward candidates record a short video c.
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v. presentation want to chew minutes is enough
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our a i i'd be written automatically in fair saw skills
00:01:36
the the sheep enthusiastic collaborative rise ian's you can add
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all that assessment and companies access to comprehensive dashboard
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it's uh did we get here you can have information that was unable to art before
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does you can avoid the cost of about higher which is very
00:01:55
high and you can have better top performers in your company
00:02:00
companies basis based on the video per basis model or on the flat fee depending on the usage
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real reading implementing it's the technology in the bigger at i don't
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see worldwide and also working with beating video software enterprise providers
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the team is strong we have a good c. t. o. c. m. o. that marketing at started that when one hundred me in in funding
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and we have a competent team we are raising one point you
00:02:29
mean sit around five hundred k. are committed we searching for
00:02:33
the investor b. c. or strong business engine plus we have
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a c. t. i. project starting in the upcoming months
00:02:41
many thanks how one to question from the audience please
00:02:57
exactly correlations yeah we compare it to the ground two switches human assessments
00:03:03
so for example you know one to one inch of you
00:03:05
we're able to identify who will be hired with the
00:03:09
eighty ninety percent accuracy compared to reality and
00:03:13
also compared to the assessment of the recruiter we
00:03:16
achieve around sixty to seventy percent patterson
00:03:20
we think we can go up to eighty ninety with deep turning methods that we would try was bigger database
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prove that with a around two thousand videos of people and
00:03:31
we tasted is with one hundred and sixty read interviews
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one last question please
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so how can we identify someone that has instant money now and did a diverse one in in another video
00:03:54
because we assess the traits which is something deep in court in you and notes how you are on
00:04:00
the present moment so you can say you have a personality that tends to be more the either
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a more enthusiastic so on so forth as we can say you know wants one interview and then over
00:04:11
time we can also follow how people live all the way to within the company for example
00:04:17
i cut here thank you very much rougher link

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