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sure<00:00:12.360><c> my</c><00:00:12.509><c> name</c><00:00:12.660><c> is</c><00:00:12.780><c> Aaron</c><00:00:13.080><c> Calub</c><00:00:13.440><c> I'm</c><00:00:13.559><c> a</c><00:00:13.590><c> head</c>

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sure my name is Aaron Calub I'm a head
 

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sure my name is Aaron Calub I'm a head
of<00:00:13.920><c> product</c><00:00:14.219><c> adulation</c><00:00:20.900><c> it's</c><00:00:21.900><c> been</c><00:00:21.990><c> so</c>

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of product adulation it's been so
 

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of product adulation it's been so
exciting<00:00:22.230><c> just</c><00:00:22.619><c> to</c><00:00:22.830><c> be</c><00:00:23.039><c> among</c><00:00:23.279><c> all</c><00:00:23.490><c> the</c><00:00:23.609><c> other</c>

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exciting just to be among all the other
 

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exciting just to be among all the other
data<00:00:24.090><c> geeks</c><00:00:24.449><c> and</c><00:00:24.689><c> you</c><00:00:24.779><c> people</c><00:00:24.930><c> share</c><00:00:25.199><c> their</c>

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data geeks and you people share their
 

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data geeks and you people share their
passion<00:00:25.470><c> for</c><00:00:25.740><c> data</c><00:00:26.189><c> and</c><00:00:26.519><c> for</c><00:00:26.760><c> UX</c><00:00:27.090><c> combined</c>

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wise<00:00:36.059><c> bolt</c><00:00:36.420><c> it</c><00:00:36.570><c> has</c><00:00:36.690><c> always</c><00:00:36.899><c> been</c><00:00:37.020><c> cool</c><00:00:37.320><c> and</c>

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wise bolt it has always been cool and
 

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wise bolt it has always been cool and
exciting<00:00:37.559><c> I</c><00:00:37.890><c> think</c><00:00:38.070><c> what's</c><00:00:38.190><c> cool</c><00:00:38.399><c> now</c><00:00:38.430><c> is</c><00:00:38.760><c> that</c>

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exciting I think what's cool now is that
 

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exciting I think what's cool now is that
we<00:00:39.000><c> have</c><00:00:39.149><c> the</c><00:00:39.270><c> techniques</c><00:00:39.660><c> and</c><00:00:39.809><c> technologies</c>

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we have the techniques and technologies
 

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we have the techniques and technologies
to<00:00:40.530><c> really</c><00:00:40.710><c> leverage</c><00:00:40.980><c> it</c><00:00:41.280><c> to</c><00:00:41.309><c> make</c><00:00:41.550><c> more</c>

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to really leverage it to make more
 

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to really leverage it to make more
data-driven<00:00:42.120><c> decisions</c><00:00:42.809><c> I</c><00:00:43.020><c> thought</c>

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data-driven decisions I thought
 

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data-driven decisions I thought
organizations<00:00:44.489><c> and</c><00:00:44.850><c> in</c><00:00:45.210><c> general</c><00:00:52.190><c> yeah</c><00:00:53.190><c> I</c>

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organizations and in general yeah I
 

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organizations and in general yeah I
think<00:00:53.340><c> what</c><00:00:53.850><c> I've</c><00:00:53.940><c> been</c><00:00:54.090><c> really</c><00:00:54.210><c> excited</c>

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think what I've been really excited
 

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think what I've been really excited
about<00:00:54.629><c> lately</c><00:00:54.899><c> is</c><00:00:55.199><c> this</c><00:00:55.469><c> idea</c><00:00:55.649><c> of</c><00:00:55.860><c> behavior</c><00:00:56.550><c> il</c>

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about lately is this idea of behavior il
 

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about lately is this idea of behavior il
of<00:00:57.449><c> making</c><00:00:58.289><c> humans</c><00:00:58.800><c> behave</c><00:00:59.070><c> better</c><00:00:59.879><c> in</c><00:01:00.149><c> the</c>

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of making humans behave better in the
 

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of making humans behave better in the
future<00:01:00.320><c> based</c><00:01:01.320><c> on</c><00:01:01.530><c> observing</c><00:01:01.980><c> the</c><00:01:02.070><c> behavior</c>

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future based on observing the behavior
 

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future based on observing the behavior
humans<00:01:02.730><c> are</c><00:01:02.850><c> done</c><00:01:02.969><c> in</c><00:01:03.090><c> the</c><00:01:03.180><c> past</c><00:01:03.359><c> and</c><00:01:03.750><c> our</c>

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humans are done in the past and our
 

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humans are done in the past and our
computers<00:01:04.650><c> can</c><00:01:04.799><c> be</c><00:01:04.830><c> this</c><00:01:05.010><c> great</c><00:01:05.339><c> conduit</c>

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computers can be this great conduit
 

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computers can be this great conduit
between<00:01:06.299><c> people</c><00:01:07.260><c> to</c><00:01:07.740><c> improve</c><00:01:08.070><c> behavior</c>

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I<00:01:18.630><c> think</c><00:01:19.560><c> when</c><00:01:19.680><c> a</c><00:01:19.710><c> mentally</c><00:01:20.130><c> debated</c><00:01:20.550><c> a</c>

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I think when a mentally debated a
 

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I think when a mentally debated a
scientists<00:01:21.240><c> you</c><00:01:21.390><c> the</c><00:01:21.510><c> same</c><00:01:21.720><c> thing</c><00:01:21.750><c> need</c><00:01:22.080><c> to</c><00:01:22.140><c> be</c>

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scientists you the same thing need to be
 

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scientists you the same thing need to be
a<00:01:22.290><c> scientist</c><00:01:22.800><c> which</c><00:01:23.070><c> is</c><00:01:23.280><c> a</c><00:01:23.520><c> mixture</c><00:01:23.940><c> of</c>

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a scientist which is a mixture of
 

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a scientist which is a mixture of
curiosity<00:01:24.870><c> is</c><00:01:24.990><c> kind</c><00:01:25.200><c> of</c><00:01:25.290><c> the</c><00:01:25.350><c> engine</c><00:01:25.650><c> that</c>

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curiosity is kind of the engine that
 

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curiosity is kind of the engine that
drives<00:01:25.830><c> you</c><00:01:26.130><c> forward</c><00:01:26.159><c> and</c><00:01:26.700><c> the</c><00:01:27.150><c> sort</c><00:01:27.330><c> of</c><00:01:27.390><c> rigor</c>

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drives you forward and the sort of rigor
 

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drives you forward and the sort of rigor
to<00:01:27.780><c> distinguish</c><00:01:28.470><c> the</c><00:01:28.770><c> true</c><00:01:29.250><c> from</c><00:01:29.610><c> the</c>

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to distinguish the true from the
 

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to distinguish the true from the
spurious<00:01:30.740><c> obviously</c><00:01:31.740><c> we</c><00:01:31.800><c> have</c><00:01:31.920><c> a</c><00:01:31.950><c> great</c>

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spurious obviously we have a great
 

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spurious obviously we have a great
computer<00:01:32.310><c> scientist</c><00:01:32.850><c> you</c><00:01:33.030><c> need</c><00:01:33.240><c> you</c><00:01:33.540><c> know</c>

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computer scientist you need you know
 

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computer scientist you need you know
great<00:01:34.110><c> training</c><00:01:34.619><c> in</c><00:01:35.060><c> computer</c><00:01:36.060><c> science</c><00:01:36.479><c> and</c>

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great training in computer science and
 

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great training in computer science and
you<00:01:37.440><c> know</c><00:01:37.560><c> great</c><00:01:37.740><c> tools</c><00:01:38.160><c> whether</c><00:01:38.520><c> that's</c>

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you know great tools whether that's
 

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you know great tools whether that's
Python<00:01:39.240><c> or</c><00:01:39.270><c> potentially</c><00:01:40.080><c> elation</c>

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you

