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Language: en

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you

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you
 

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you
[Music]

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you

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[Music]

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ai<00:00:21.380><c> is</c><00:00:21.560><c> of</c><00:00:21.920><c> course</c><00:00:22.130><c> a</c><00:00:22.400><c> field</c><00:00:22.730><c> in</c><00:00:22.940><c> computer</c>

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ai is of course a field in computer
 

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ai is of course a field in computer
science<00:00:23.990><c> where</c><00:00:24.290><c> people</c><00:00:24.860><c> try</c><00:00:25.100><c> to</c><00:00:25.450><c> make</c>

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science where people try to make
 

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science where people try to make
autonomous<00:00:26.990><c> agents</c><00:00:27.860><c> smart</c><00:00:28.189><c> and</c><00:00:28.400><c> behave</c><00:00:28.670><c> like</c>

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autonomous agents smart and behave like
 

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autonomous agents smart and behave like
humans<00:00:29.020><c> but</c><00:00:30.020><c> what</c><00:00:30.439><c> I</c><00:00:30.470><c> really</c><00:00:31.040><c> means</c><00:00:31.250><c> for</c><00:00:31.369><c> most</c>

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humans but what I really means for most
 

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humans but what I really means for most
businesses<00:00:32.540><c> that's</c><00:00:32.870><c> who</c><00:00:33.290><c> we</c><00:00:33.470><c> are</c><00:00:33.590><c> targeting</c>

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businesses that's who we are targeting
 

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businesses that's who we are targeting
is<00:00:34.570><c> basically</c><00:00:35.570><c> make</c><00:00:35.750><c> better</c><00:00:35.989><c> decisions</c><00:00:36.460><c> there</c>

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is basically make better decisions there
 

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is basically make better decisions there
currently<00:00:37.970><c> is</c><00:00:38.090><c> based</c><00:00:38.540><c> on</c><00:00:39.020><c> rules</c><00:00:39.500><c> based</c>

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currently is based on rules based
 

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currently is based on rules based
distance<00:00:40.400><c> so</c><00:00:40.610><c> where</c><00:00:40.820><c> some</c><00:00:41.030><c> human</c><00:00:41.510><c> has</c>

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distance so where some human has
 

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distance so where some human has
programmed<00:00:42.230><c> something</c><00:00:42.710><c> like</c><00:00:42.860><c> if</c><00:00:43.190><c> H</c><00:00:43.760><c> is</c><00:00:43.820><c> more</c>

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programmed something like if H is more
 

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programmed something like if H is more
than<00:00:44.420><c> 5</c><00:00:44.660><c> and</c><00:00:45.080><c> income</c><00:00:45.470><c> less</c><00:00:45.710><c> than</c><00:00:45.949><c> 50,000</c><00:00:46.760><c> then</c>

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than 5 and income less than 50,000 then
 

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than 5 and income less than 50,000 then
deny<00:00:47.269><c> or</c><00:00:47.510><c> something</c><00:00:47.899><c> and</c><00:00:48.050><c> these</c><00:00:48.739><c> rules</c>

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deny or something and these rules
 

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deny or something and these rules
getting<00:00:49.610><c> out</c><00:00:49.700><c> of</c><00:00:49.850><c> placed</c><00:00:50.120><c> by</c><00:00:50.390><c> smarter</c>

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getting out of placed by smarter
 

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getting out of placed by smarter
machines<00:00:51.290><c> that</c><00:00:52.130><c> automatically</c><00:00:52.850><c> generate</c>

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machines that automatically generate
 

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machines that automatically generate
those<00:00:53.540><c> rules</c><00:00:54.440><c> and</c><00:00:54.800><c> you</c><00:00:55.160><c> can</c><00:00:55.309><c> have</c><00:00:55.460><c> a</c><00:00:55.489><c> billion</c>

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those rules and you can have a billion
 

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those rules and you can have a billion
rules<00:00:56.210><c> that</c><00:00:57.020><c> are</c><00:00:57.050><c> auto-generated</c><00:00:57.860><c> and</c><00:00:58.070><c> they</c>

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rules that are auto-generated and they
 

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rules that are auto-generated and they
might<00:00:58.370><c> be</c><00:00:58.550><c> more</c><00:00:58.700><c> complicated</c><00:00:59.090><c> than</c><00:00:59.420><c> those</c><00:00:59.600><c> if</c>

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might be more complicated than those if
 

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might be more complicated than those if
else<00:01:00.170><c> decisions</c><00:01:00.739><c> but</c><00:01:01.010><c> those</c><00:01:01.430><c> complicated</c>

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else decisions but those complicated
 

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else decisions but those complicated
decisions<00:01:02.840><c> basically</c><00:01:03.469><c> make</c><00:01:04.509><c> better</c><00:01:05.509><c> choices</c>

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decisions basically make better choices
 

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decisions basically make better choices
than<00:01:06.140><c> humans</c><00:01:06.680><c> whether</c><00:01:07.430><c> that's</c><00:01:07.640><c> playing</c><00:01:08.060><c> a</c>

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than humans whether that's playing a
 

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than humans whether that's playing a
computer<00:01:09.050><c> game</c><00:01:09.200><c> or</c><00:01:09.770><c> making</c><00:01:10.310><c> business</c>

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computer game or making business
 

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computer game or making business
transactional<00:01:11.930><c> decisions</c><00:01:12.440><c> for</c><00:01:13.190><c> translating</c>

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transactional decisions for translating
 

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transactional decisions for translating
languages<00:01:15.009><c> that's</c><00:01:16.009><c> basically</c><00:01:16.280><c> AI</c><00:01:16.930><c> for</c>

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languages that's basically AI for
 

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languages that's basically AI for
enterprise

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so<00:01:24.150><c> AI</c><00:01:24.390><c> has</c><00:01:24.720><c> made</c><00:01:24.960><c> huge</c><00:01:25.440><c> strides</c><00:01:25.860><c> in</c>

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so AI has made huge strides in
 

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so AI has made huge strides in
translating<00:01:27.270><c> languages</c><00:01:28.020><c> and</c><00:01:28.290><c> looking</c><00:01:28.740><c> at</c>

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translating languages and looking at
 

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translating languages and looking at
images<00:01:29.040><c> understanding</c><00:01:29.940><c> what's</c><00:01:30.090><c> in</c><00:01:30.210><c> the</c>

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images understanding what's in the
 

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images understanding what's in the
images<00:01:30.830><c> understanding</c><00:01:31.830><c> sound</c><00:01:32.190><c> these</c>

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images understanding sound these
 

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images understanding sound these
unstructured<00:01:33.540><c> data</c><00:01:33.720><c> sets</c><00:01:34.170><c> but</c><00:01:34.410><c> but</c><00:01:34.650><c> it's</c>

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unstructured data sets but but it's
 

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unstructured data sets but but it's
still<00:01:35.070><c> not</c><00:01:35.220><c> good</c><00:01:35.430><c> at</c><00:01:35.550><c> is</c><00:01:35.760><c> in</c><00:01:36.060><c> figuring</c><00:01:36.420><c> out</c>

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still not good at is in figuring out
 

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still not good at is in figuring out
what<00:01:36.960><c> the</c><00:01:36.990><c> humans</c><00:01:37.500><c> actually</c><00:01:37.890><c> wants</c><00:01:38.280><c> so</c><00:01:38.580><c> for</c>

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what the humans actually wants so for
 

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what the humans actually wants so for
example<00:01:38.850><c> if</c><00:01:39.420><c> you</c><00:01:39.780><c> have</c><00:01:39.930><c> a</c><00:01:40.170><c> data</c><00:01:40.380><c> set</c><00:01:40.680><c> of</c>

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example if you have a data set of
 

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example if you have a data set of
transactions<00:01:42.450><c> everybody</c><00:01:43.050><c> who's</c><00:01:43.200><c> ever</c><00:01:43.320><c> swipe</c>

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transactions everybody who's ever swipe
 

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transactions everybody who's ever swipe
the<00:01:43.920><c> credit</c><00:01:44.040><c> card</c><00:01:44.400><c> in</c><00:01:44.520><c> the</c><00:01:44.580><c> last</c><00:01:44.790><c> two</c><00:01:45.750><c> years</c>

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the credit card in the last two years
 

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the credit card in the last two years
now<00:01:46.920><c> you</c><00:01:46.980><c> could</c><00:01:47.220><c> ask</c><00:01:47.400><c> a</c><00:01:47.610><c> lot</c><00:01:47.790><c> of</c><00:01:47.820><c> questions</c><00:01:48.360><c> and</c>

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now you could ask a lot of questions and
 

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now you could ask a lot of questions and
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AI has no clue what questions to ask or
 

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AI has no clue what questions to ask or
has<00:01:51.750><c> no</c><00:01:51.960><c> clue</c><00:01:52.230><c> about</c><00:01:52.340><c> who</c><00:01:53.340><c> to</c><00:01:53.580><c> deny</c><00:01:54.050><c> the</c><00:01:55.050><c> credit</c>

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has no clue about who to deny the credit
 

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has no clue about who to deny the credit
for<00:01:56.010><c> example</c><00:01:56.610><c> or</c><00:01:56.730><c> not</c><00:01:56.910><c> or</c><00:01:57.180><c> who</c><00:01:57.300><c> to</c><00:01:57.330><c> go</c><00:01:57.630><c> after</c>

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for example or not or who to go after
 

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for example or not or who to go after
and<00:01:58.170><c> say</c><00:01:58.350><c> I</c><00:01:58.380><c> can</c><00:01:58.710><c> double</c><00:01:59.010><c> your</c><00:01:59.070><c> credit</c><00:01:59.460><c> or</c><00:01:59.610><c> I</c>

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and say I can double your credit or I
 

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and say I can double your credit or I
can<00:01:59.910><c> give</c><00:02:00.060><c> you</c><00:02:00.210><c> a</c><00:02:00.270><c> better</c><00:02:00.570><c> account</c><00:02:01.440><c> or</c>

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can give you a better account or
 

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can give you a better account or
something<00:02:01.980><c> like</c><00:02:02.220><c> that</c><00:02:02.280><c> ai</c><00:02:03.000><c> doesn't</c><00:02:03.540><c> know</c><00:02:03.660><c> that</c>

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something like that ai doesn't know that
 

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something like that ai doesn't know that
on<00:02:04.020><c> its</c><00:02:04.170><c> own</c><00:02:04.350><c> right</c><00:02:04.830><c> so</c><00:02:05.070><c> it</c><00:02:05.160><c> still</c><00:02:05.400><c> needs</c>

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on its own right so it still needs
 

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on its own right so it still needs
humans<00:02:06.120><c> to</c><00:02:06.390><c> make</c><00:02:06.570><c> up</c><00:02:06.780><c> those</c><00:02:07.020><c> questions</c><00:02:07.740><c> and</c>

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humans to make up those questions and
 

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humans to make up those questions and
then<00:02:08.220><c> use</c><00:02:08.790><c> the</c><00:02:09.119><c> answers</c><00:02:09.630><c> to</c><00:02:09.929><c> decide</c><00:02:10.320><c> what</c>

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then use the answers to decide what
 

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then use the answers to decide what
kitty<00:02:10.830><c> so</c><00:02:11.100><c> the</c><00:02:11.250><c> translations</c><00:02:11.850><c> of</c><00:02:11.940><c> the</c>

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kitty so the translations of the
 

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kitty so the translations of the
business<00:02:12.450><c> is</c><00:02:13.020><c> still</c><00:02:13.320><c> lacking</c><00:02:18.830><c> so</c><00:02:19.830><c> at</c><00:02:20.400><c> h2o</c><00:02:20.880><c> I</c>

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business is still lacking so at h2o I
 

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business is still lacking so at h2o I
and<00:02:21.540><c> me</c><00:02:22.350><c> as</c><00:02:22.470><c> a</c><00:02:22.560><c> CTO</c><00:02:23.010><c> I'm</c><00:02:23.250><c> varied</c><00:02:24.000><c> and</c><00:02:24.240><c> I'm</c>

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and me as a CTO I'm varied and I'm
 

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and me as a CTO I'm varied and I'm
focusing<00:02:24.600><c> on</c><00:02:25.170><c> making</c><00:02:25.590><c> the</c><00:02:25.890><c> customer</c><00:02:26.520><c> happy</c>

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focusing on making the customer happy
 

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focusing on making the customer happy
write<00:02:27.150><c> a</c><00:02:27.180><c> customer</c><00:02:27.750><c> says</c><00:02:27.959><c> mella</c><00:02:28.290><c> has</c><00:02:28.560><c> this</c>

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write a customer says mella has this
 

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write a customer says mella has this
insurance<00:02:30.270><c> problem</c><00:02:30.959><c> I</c><00:02:31.170><c> need</c><00:02:31.290><c> to</c><00:02:31.620><c> figure</c><00:02:31.800><c> out</c>

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insurance problem I need to figure out
 

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insurance problem I need to figure out
what<00:02:33.180><c> my</c><00:02:33.480><c> mother</c><00:02:33.840><c> ate</c><00:02:34.110><c> should</c><00:02:34.350><c> be</c><00:02:34.500><c> fully</c>

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what my mother ate should be fully
 

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what my mother ate should be fully
insurance<00:02:35.190><c> and</c><00:02:35.340><c> how</c><00:02:35.940><c> do</c><00:02:36.000><c> i</c><00:02:36.150><c> best</c><00:02:36.300><c> model</c><00:02:36.810><c> that</c>

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insurance and how do i best model that
 

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insurance and how do i best model that
and<00:02:37.320><c> so</c><00:02:37.800><c> my</c><00:02:38.010><c> focus</c><00:02:38.970><c> is</c><00:02:39.270><c> on</c><00:02:39.390><c> making</c><00:02:39.690><c> better</c>

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and so my focus is on making better
 

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and so my focus is on making better
algorithms<00:02:40.560><c> better</c><00:02:41.040><c> data</c><00:02:41.640><c> science</c><00:02:42.060><c> workflow</c>

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algorithms better data science workflow
 

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algorithms better data science workflow
so<00:02:42.840><c> that</c><00:02:42.989><c> the</c><00:02:43.520><c> arbitrary</c><00:02:44.520><c> people</c><00:02:45.000><c> in</c><00:02:45.180><c> the</c>

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so that the arbitrary people in the
 

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so that the arbitrary people in the
market<00:02:45.630><c> out</c><00:02:45.750><c> there</c><00:02:45.780><c> can</c><00:02:46.200><c> be</c><00:02:46.230><c> more</c><00:02:46.440><c> productive</c>

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market out there can be more productive
 

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market out there can be more productive
whether<00:02:47.610><c> that's</c><00:02:47.850><c> a</c><00:02:47.940><c> data</c><00:02:48.120><c> scientist</c><00:02:48.630><c> or</c><00:02:48.930><c> even</c>

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whether that's a data scientist or even
 

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whether that's a data scientist or even
the<00:02:49.410><c> business</c><00:02:49.770><c> analyst</c><00:02:50.600><c> or</c><00:02:51.600><c> the</c><00:02:51.959><c> super</c><00:02:52.470><c> geeky</c>

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the business analyst or the super geeky
 

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the business analyst or the super geeky
Cargill<00:02:53.760><c> master</c><00:02:54.300><c> I</c><00:02:54.510><c> want</c><00:02:55.170><c> to</c><00:02:55.260><c> please</c><00:02:55.500><c> them</c><00:02:55.769><c> all</c>

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Cargill master I want to please them all
 

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Cargill master I want to please them all
so<00:02:56.220><c> I</c><00:02:56.489><c> stay</c><00:02:56.700><c> up</c><00:02:56.730><c> at</c><00:02:57.000><c> night</c><00:02:57.030><c> trying</c><00:02:57.690><c> figuring</c>

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so I stay up at night trying figuring
 

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so I stay up at night trying figuring
out<00:02:58.470><c> places</c><00:02:59.040><c> where</c><00:02:59.610><c> i</c><00:02:59.640><c> can</c><00:02:59.880><c> improve</c><00:03:00.180><c> this</c><00:03:00.540><c> kind</c>

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out places where i can improve this kind
 

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out places where i can improve this kind
of<00:03:01.310><c> virtual</c><00:03:02.310><c> experience</c><00:03:03.239><c> so</c><00:03:03.390><c> that</c><00:03:03.420><c> everybody</c>

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of virtual experience so that everybody
 

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of virtual experience so that everybody
can<00:03:04.230><c> be</c><00:03:04.410><c> more</c><00:03:04.620><c> productive</c>

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I<00:03:09.430><c> like</c><00:03:10.430><c> all</c><00:03:10.730><c> AI</c><00:03:11.030><c> conferences</c><00:03:11.900><c> because</c><00:03:12.049><c> it's</c>

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I like all AI conferences because it's
 

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I like all AI conferences because it's
such<00:03:12.620><c> a</c><00:03:12.650><c> thriving</c><00:03:13.069><c> feels</c><00:03:13.489><c> right</c><00:03:13.730><c> now</c><00:03:13.909><c> and</c>

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such a thriving feels right now and
 

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such a thriving feels right now and
every<00:03:14.420><c> week</c><00:03:14.780><c> there's</c><00:03:15.049><c> a</c><00:03:15.109><c> new</c><00:03:15.139><c> paper</c><00:03:15.499><c> on</c>

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every week there's a new paper on
 

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every week there's a new paper on
something<00:03:16.189><c> new</c><00:03:16.340><c> and</c><00:03:16.489><c> exciting</c><00:03:16.969><c> and</c><00:03:17.090><c> I</c><00:03:17.180><c> like</c><00:03:17.359><c> to</c>

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something new and exciting and I like to
 

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something new and exciting and I like to
see<00:03:17.719><c> how</c><00:03:17.930><c> people</c><00:03:18.349><c> are</c><00:03:18.469><c> applying</c><00:03:18.920><c> these</c><00:03:19.129><c> new</c>

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see how people are applying these new
 

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see how people are applying these new
methods<00:03:19.549><c> to</c><00:03:20.090><c> a</c><00:03:20.329><c> new</c><00:03:20.569><c> use</c><00:03:20.780><c> cases</c><00:03:20.900><c> and</c><00:03:21.290><c> pushing</c>

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methods to a new use cases and pushing
 

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methods to a new use cases and pushing
forward<00:03:22.609><c> the</c><00:03:22.730><c> envelope</c><00:03:23.239><c> of</c><00:03:23.269><c> AI</c>

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forward the envelope of AI
 

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forward the envelope of AI
[Music]

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you

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you