hello everyone uh my name is shashir hello everyone uh my name is shashir
motra I am the CEO and co-founder of motra I am the CEO and co-founder of
Kota and I m very excited to be here at Kota and I m very excited to be here at
Snowflake today along with chrisan Snowflake today along with chrisan
kleinerman the head of product for kleinerman the head of product for
snowflake uh to talk about a new snowflake uh to talk about a new
partnership that we just announced with partnership that we just announced with
snowflake we re going to be working snowflake we re going to be working
together to unite data and a together to unite data and a
collaborative surface and turning data collaborative surface and turning data
into action as part of this partnership into action as part of this partnership
snowflake is also making a large snowflake is also making a large
investment in Kota and we ll be working investment in Kota and we ll be working
together to bring a number of products together to bring a number of products
to Market and I m just really excited to to Market and I m just really excited to
be here and maybe just start off maybe be here and maybe just start off maybe
you can introduce yourself as well and you can introduce yourself as well and
tell tell everyone a little bit about tell tell everyone a little bit about
how you re looking at the partnership how you re looking at the partnership
okay first of all super excited to have okay first of all super excited to have
you here super excited about the you here super excited about the
partnership with Kota uh on a personal partnership with Kota uh on a personal
level this is the third time you and I level this is the third time you and I
work together uh we were both together work together uh we were both together
at Microsoft building database and data at Microsoft building database and data
management technology we were both management technology we were both
together at YouTube and now different together at YouTube and now different
companies but uh unified goal no very companies but uh unified goal no very
very compelling goal um very excited very compelling goal um very excited
about the the the the high level Insight about the the the the high level Insight
which is a lot of companies have a data which is a lot of companies have a data
team a data platform the data analyst team a data platform the data analyst
data scientist and then there s all the data scientist and then there s all the
rest of the company that lives in a rest of the company that lives in a
different set of tools and may or not different set of tools and may or not
may not be as data driven yes and and we may not be as data driven yes and and we
see like this split on how can you go see like this split on how can you go
make the data available to empower and make the data available to empower and
improve decisions and improve insights improve decisions and improve insights
for the rest of the company and I think for the rest of the company and I think
that s the Genesis of our partnership that s the Genesis of our partnership
so let s talk a little bit about what so let s talk a little bit about what
the partnership is we re going to do the partnership is we re going to do
many different things together the one many different things together the one
that I m really excited about is that I m really excited about is
something we re doing in AI but I think something we re doing in AI but I think
we re going to talk about that later but we re going to talk about that later but
the first thing that s available to the first thing that s available to
everyone today is connecting snowflake everyone today is connecting snowflake
data into Kota and maybe just as a data into Kota and maybe just as a
backgrounder for uh for others uh you backgrounder for uh for others uh you
know Koda as most people know is an know Koda as most people know is an
all-in-one platform allows people to all-in-one platform allows people to
connect documents spreadsheets connect documents spreadsheets
presentations applications into one presentations applications into one
unified surface one surface it s one unified surface one surface it s one
single surface and one of the ways single surface and one of the ways
people use it is to connect data into people use it is to connect data into
that surface the Genesis of this idea that surface the Genesis of this idea
came when we built a pack is what we came when we built a pack is what we
call our Integrations so you could call our Integrations so you could
connect snowflake data directly into uh connect snowflake data directly into uh
Kodak and we saw amazing things being Kodak and we saw amazing things being
done with that and decided we would done with that and decided we would
partner together to make that experience partner together to make that experience
much much better okay so that s sort of much much better okay so that s sort of
like a technology description uh get like a technology description uh get
data from Snowflake into Kota but what data from Snowflake into Kota but what
what type of use cases how can it be what type of use cases how can it be
helpful for me so the first one was helpful for me so the first one was
internal at Kota we were working on a internal at Kota we were working on a
new product launch we call Kota we new product launch we call Kota we
shipped it last year and big huge launch shipped it last year and big huge launch
many features many teams marketing many features many teams marketing
product press everything all together product press everything all together
and uh we built a dock as you might and uh we built a dock as you might
imagine that was the Koda Hub and it imagine that was the Koda Hub and it
had everything it had you know every had everything it had you know every
features product requirements it had all features product requirements it had all
the press releases all the marketing the the press releases all the marketing the
beta user so on and somewhere along that beta user so on and somewhere along that
line the one of the product managers line the one of the product managers
connected the snow Lake pack into this connected the snow Lake pack into this
doc you a number of things happened doc you a number of things happened
first off we had all of a sudden in our first off we had all of a sudden in our
home where we were reviewing everything home where we were reviewing everything
that was happening we now have all of that was happening we now have all of
the data so everything s flowing right the data so everything s flowing right
through we have the stats we have the through we have the stats we have the
analytics and it all became very analytics and it all became very
actionable so we would for example for actionable so we would for example for
every feature there s a list of every feature there s a list of
customers triing it you d have the list customers triing it you d have the list
of we d have those list of customers of we d have those list of customers
coming right out of snowflake all of coming right out of snowflake all of
their feedback was then linked right to their feedback was then linked right to
it and you could sort of take everything it and you could sort of take everything
and immediately take action on that data and immediately take action on that data
in the same place where you re already in the same place where you re already
working and and the data is like live working and and the data is like live
like the document is always up to date like the document is always up to date
document is always up to date you show document is always up to date you show
up for your staff meeting and it s you up for your staff meeting and it s you
know here s what s happened yesterday no know here s what s happened yesterday no
need to copy and paste no screenshots need to copy and paste no screenshots
none of that none of that stuff so none of that none of that stuff so
that s awesome that was my first one that s awesome that was my first one
maybe what about you what was your first maybe what about you what was your first
so so I think you and I had a so so I think you and I had a
conversation on is there something here conversation on is there something here
that other companies can can benefit and that other companies can can benefit and
we said okay all we start with could we said okay all we start with could
snow itself leverage it um I think you snow itself leverage it um I think you
share the vision with our it team team share the vision with our it team team
and they said okay we have the perfect and they said okay we have the perfect
use case and it s a very interesting use case and it s a very interesting
tool or very interesting uh uh scenario tool or very interesting uh uh scenario
where we ingest data from a number of where we ingest data from a number of
sources uh how are the logs coming in sources uh how are the logs coming in
from OCTA authentication or how are doc from OCTA authentication or how are doc
sign operations for for tools it s for sign operations for for tools it s for
tools that we ingested and one of the tools that we ingested and one of the
use cases that we have been using some use cases that we have been using some
of those data sets is to go and do of those data sets is to go and do
license management of all the different license management of all the different
buy how do you know that if you bought a buy how do you know that if you bought a
licenses you re using licenses licenses you re using licenses
uh the the the topic of shelfware exists uh the the the topic of shelfware exists
in the subscription as a as a service in the subscription as a as a service
type of business model where you pay and type of business model where you pay and
you don t know if you re using now with you don t know if you re using now with
all these logs and all this information all these logs and all this information
that we can get you can get visibility that we can get you can get visibility
on is this real is it being consumed and on is this real is it being consumed and
our it team has decided okay we have the our it team has decided okay we have the
data let s go put it as part of the data let s go put it as part of the
procurement process and decide let s procurement process and decide let s
right siiz our purchases we will buy right siiz our purchases we will buy
what we are using what we re consuming M what we are using what we re consuming M
and interesting enough after they heard and interesting enough after they heard
about the opportunity of having a code a about the opportunity of having a code a
document they said hey this is the document they said hey this is the
perfect use case and I think you witness perfect use case and I think you witness
it the story being told by by Our IT it the story being told by by Our IT
team in one hour they were able to say team in one hour they were able to say
here s an experience a front end to that here s an experience a front end to that
data that can be used now as part as our data that can be used now as part as our
workflow as part of procurement and uh workflow as part of procurement and uh
it was an amazing success story and the it was an amazing success story and the
time to value US amazing yeah and now time to value US amazing yeah and now
it s amazing because I think that it s amazing because I think that
process is is a perfect example of process is is a perfect example of
marrying data all Ian it s amazing the marrying data all Ian it s amazing the
the the set of data you guys put into the the set of data you guys put into
that tool is incredible no surprise that tool is incredible no surprise
snowflake takes data seriously but then snowflake takes data seriously but then
all the workflow around it it s just all the workflow around it it s just
really amazing to because obviously it s really amazing to because obviously it s
a very human process to decide which a very human process to decide which
tools you re going to keep which tools tools you re going to keep which tools
you re going to retire so on so it s you re going to retire so on so it s
great example maybe I ll give one more great example maybe I ll give one more
um so one more example from came from um so one more example from came from
one of our customers where they used one of our customers where they used
Koda and the snowflake pack for a sales Koda and the snowflake pack for a sales
use case and in this case um they were use case and in this case um they were
using Koda for for their account PL so using Koda for for their account PL so
they create a unique document per they create a unique document per
customer and uh you know the account customer and uh you know the account
plans look as you would expect it s you plans look as you would expect it s you
know lots of um you know writeups of know lots of um you know writeups of
here s the plan for the account here s here s the plan for the account here s
the organization chart here s the notes the organization chart here s the notes
from every meeting here s all the past from every meeting here s all the past
contracts and all the negotiation and contracts and all the negotiation and
they took the snowflake pack and in this they took the snowflake pack and in this
particular case they ingested user level particular case they ingested user level
data for what was happening with that data for what was happening with that
account and one of the most fun examples account and one of the most fun examples
I saw was they were ingesting all of the I saw was they were ingesting all of the
you know right next to the account plan you know right next to the account plan
and what s who s who what were the and what s who s who what were the
meeting notes so on was here s everybody meeting notes so on was here s everybody
who signed up yesterday and they added a who signed up yesterday and they added a
column to it and they said with some column to it and they said with some
criteria made a button that says invite criteria made a button that says invite
this person to a webinar and you could this person to a webinar and you could
they go through in the document in the they go through in the document in the
document and it you know they put a document and it you know they put a
little button and it was it really clear little button and it was it really clear
this is uh the next step they wanted to this is uh the next step they wanted to
do and from the perspective of the sales do and from the perspective of the sales
leader they could um take this process leader they could um take this process
and sort of push their account teams to and sort of push their account teams to
All Connect new users to webar All Connect new users to webar
uh from the perspective of the team it uh from the perspective of the team it
was it was easy to do because it was in was it was easy to do because it was in
context of where they re working no context of where they re working no
separate tool to go to and it s just a separate tool to go to and it s just a
great example I think of unifying data great example I think of unifying data
and action yeah so so it s the and action yeah so so it s the
collaboration data power but it s also collaboration data power but it s also
in in a single tool single surface which in in a single tool single surface which
is where the entire workflow can happen is where the entire workflow can happen
all at the same time exactly exactly all at the same time exactly exactly
super cool now okay you you you super cool now okay you you you
mentioned Ai and I think in everyone s mentioned Ai and I think in everyone s
uh mind and I think in every uh mind and I think in every
conversation there s some okay so where conversation there s some okay so where
where where does AI fit in and I think where where does AI fit in and I think
the vast majority of organizations have the vast majority of organizations have
realized there is an opportunity to give realized there is an opportunity to give
data broader access through the power of data broader access through the power of
AI through the power of natural language AI through the power of natural language
conversation interfaces chat interfaces conversation interfaces chat interfaces
that promise is there the reality is that promise is there the reality is
that it s not as easy because you want that it s not as easy because you want
the answers to be trustworthy and no the answers to be trustworthy and no
hallucinations no lies Etc um we we ve hallucinations no lies Etc um we we ve
approached what we re doing sake on on approached what we re doing sake on on
like three different categories one is like three different categories one is
maximum extensibility Max maximum maximum extensibility Max maximum
flexibility you can host in a container flexibility you can host in a container
inide snowflake anything you want you inide snowflake anything you want you
can host a language Model A visual model can host a language Model A visual model
and effectively you have full power but and effectively you have full power but
you have to do a lot more work and and you have to do a lot more work and and
it it takes more time we have a a middle it it takes more time we have a a middle
uh level of of integration which is uh uh level of of integration which is uh
what we call cortex we re hosting a what we call cortex we re hosting a
variety of language models on behalf of variety of language models on behalf of
our customers some of them are our model our customers some of them are our model
some of them are Partnerships with mistr some of them are Partnerships with mistr
or with Rea we actually announce it or with Rea we actually announce it
uh very recently uh and also open models uh very recently uh and also open models
like llama is also part of it and this like llama is also part of it and this
is a simpler interface either a SQL is a simpler interface either a SQL
interface or a python interface where interface or a python interface where
you can just go build Solutions you can you can just go build Solutions you can
go create embeddings you can have a go create embeddings you can have a
vector data type so it s less flexible vector data type so it s less flexible
than the first option but the time to than the first option but the time to
Value time to solution is is is lower Value time to solution is is is lower
and the last one is finished experiences and the last one is finished experiences
that we have for example if you were to that we have for example if you were to
have uh unstructured documents PDFs and have uh unstructured documents PDFs and
you want to start asking questions of we you want to start asking questions of we
have something called document Ai and have something called document Ai and
you can just point snowflake to the you can just point snowflake to the
document and ask questions similar to a document and ask questions similar to a
co-pilot similar to SQL generation so we co-pilot similar to SQL generation so we
have the the full spectrum but the most have the the full spectrum but the most
important thing of how we think about it important thing of how we think about it
at snowflake is there is no true AI at snowflake is there is no true AI
unlock or AI strategy if you don t have unlock or AI strategy if you don t have
a solid data Foundation which is why a solid data Foundation which is why
there s a natural expansion extension of there s a natural expansion extension of
the value that we bring to organizations the value that we bring to organizations
yeah I hope that s good enough so now yeah I hope that s good enough so now
you can tell me about okay so I I can you can tell me about okay so I I can
say a little bit about it but I think say a little bit about it but I think
we re working hard on it I know we have we re working hard on it I know we have
a big announcement coming up so I m only a big announcement coming up so I m only
going to give a tease so the the way going to give a tease so the the way
that I think what our viewers and that I think what our viewers and
listeners should know is how our listeners should know is how our
perspective on bringing together Kota perspective on bringing together Kota
and the amazing snowflake data platform and the amazing snowflake data platform
and the AI vision from Snowflake uh the and the AI vision from Snowflake uh the
way I think about it is was the way I think about it is was the
year of consumer AI everybody fell in year of consumer AI everybody fell in
love with chat GPT we could ask this love with chat GPT we could ask this
question to the world s know-it-all the question to the world s know-it-all the
the next year I think is going to the next year I think is going to
be about Enterprise AI so now the be about Enterprise AI so now the
question is can I have a similar question is can I have a similar
know-it-all for my company for my own know-it-all for my company for my own
data and it turns out that the core data and it turns out that the core
assets and the core platform from both assets and the core platform from both
Kota and snowflake have been aimed at Kota and snowflake have been aimed at
this problem so I won t say exactly how this problem so I won t say exactly how
it s going to work but uh I m pretty it s going to work but uh I m pretty
exciting I m really I I ve been playing exciting I m really I I ve been playing
a bunch with it and I m very excited a bunch with it and I m very excited
about where it will land but that s the about where it will land but that s the
core idea you re just going to leave us core idea you re just going to leave us
hanging you re going to leave it hang hanging you re going to leave it hang
hanging there okay so so given that hanging there okay so so given that
you re not going to say more about that you re not going to say more about that
um what about the pack is it available um what about the pack is it available
now do I have to wait is in a preview now do I have to wait is in a preview
only a few people can use it how can I only a few people can use it how can I
get started you can get started right get started you can get started right
away so you can go today coded iio away so you can go today coded iio
snowflake has uh all the instructions snowflake has uh all the instructions
you need including some use cases and you need including some use cases and
how to get started with the pack um it s how to get started with the pack um it s
very easy to set up you just drag it very easy to set up you just drag it
into your document and get access to to into your document and get access to to
your snowflake data in your your snowflake data in your
collaborative surface so and uh soon collaborative surface so and uh soon
we ll come back and tell everybody a we ll come back and tell everybody a
little bit more about what s coming next little bit more about what s coming next
you need to finish that teaser that you you need to finish that teaser that you
finish the teaser but in the meantime finish the teaser but in the meantime
I m very very happy very excited about I m very very happy very excited about
what we re doing together and I think what we re doing together and I think
the opportunity to get value on marrying the opportunity to get value on marrying
data with documents and collabor data with documents and collabor
experience today is very exciting yes so experience today is very exciting yes so
thank you very much for the partnership thank you very much for the partnership
for your personal support and doing this for your personal support and doing this
I m very excited to get to work together I m very excited to get to work together
again like you said uh third time and again like you said uh third time and
anybody who wants to get started today anybody who wants to get started today
cod SL Snowflake and you can get cod SL Snowflake and you can get
excitingEnglish auto-generated AllFrom CodaRelatedFor youRecently uploadedWatched excitingEnglish auto-generated AllFrom CodaRelatedFor youRecently uploadedWatched
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