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I started this set up with the native Coda AI, but it failed too often to behave as a helpful assistant. I moved to Gemini. This AI can handle larger texts, but seems to make up stuff here and there. For the moment, AI seems not good enough in this context, certainly not when the texts are long. Click on the button below to test if this time it works for you ⤵️

1
summary of Coda
Turning data into action with Snowflake and Coda
played: Wed, Apr 10, 2024, 16:00
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**Bitcoin's** price is anticipated to experience a **final decline** within the next **two to three weeks**. This **downward trend** could lead to a drop in value **below $400** prior to **October**.
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Turning data into action with Snowflake and Coda
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hello everyone uh my name is shashir
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motra I am the CEO and co-founder of
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Kota and I m very excited to be here at
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Snowflake today along with chrisan
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kleinerman the head of product for
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snowflake uh to talk about a new
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partnership that we just announced with
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snowflake we re going to be working
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together to unite data and a
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collaborative surface and turning data
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into action as part of this partnership
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snowflake is also making a large
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investment in Kota and we ll be working
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together to bring a number of products
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to Market and I m just really excited to
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be here and maybe just start off maybe
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you can introduce yourself as well and
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tell tell everyone a little bit about
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how you re looking at the partnership
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okay first of all super excited to have
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you here super excited about the
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partnership with Kota uh on a personal
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level this is the third time you and I
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work together uh we were both together
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at Microsoft building database and data
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management technology we were both
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together at YouTube and now different
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companies but uh unified goal no very
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very compelling goal um very excited
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about the the the the high level Insight
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which is a lot of companies have a data
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team a data platform the data analyst
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data scientist and then there s all the
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rest of the company that lives in a
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different set of tools and may or not
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may not be as data driven yes and and we
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see like this split on how can you go
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make the data available to empower and
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improve decisions and improve insights
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for the rest of the company and I think
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that s the Genesis of our partnership
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yeah absolutely
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so let s talk a little bit about what
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the partnership is we re going to do
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many different things together the one
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that I m really excited about is
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something we re doing in AI but I think
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we re going to talk about that later but
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the first thing that s available to
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everyone today is connecting snowflake
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data into Kota and maybe just as a
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backgrounder for uh for others uh you
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know Koda as most people know is an
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all-in-one platform allows people to
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connect documents spreadsheets
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presentations applications into one
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unified surface one surface it s one
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single surface and one of the ways
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people use it is to connect data into
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that surface the Genesis of this idea
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came when we built a pack is what we
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call our Integrations so you could
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connect snowflake data directly into uh
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Kodak and we saw amazing things being
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done with that and decided we would
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partner together to make that experience
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much much better okay so that s sort of
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like a technology description uh get
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data from Snowflake into Kota but what
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what type of use cases how can it be
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helpful for me so the first one was
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internal at Kota we were working on a
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new product launch we call Kota we
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shipped it last year and big huge launch
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many features many teams marketing
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product press everything all together
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and uh we built a dock as you might
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imagine that was the Koda Hub and it
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had everything it had you know every
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features product requirements it had all
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the press releases all the marketing the
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beta user so on and somewhere along that
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line the one of the product managers
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connected the snow Lake pack into this
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doc you a number of things happened
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first off we had all of a sudden in our
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home where we were reviewing everything
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that was happening we now have all of
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the data so everything s flowing right
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through we have the stats we have the
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analytics and it all became very
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actionable so we would for example for
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every feature there s a list of
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customers triing it you d have the list
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of we d have those list of customers
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coming right out of snowflake all of
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their feedback was then linked right to
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it and you could sort of take everything
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and immediately take action on that data
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in the same place where you re already
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working and and the data is like live
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like the document is always up to date
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document is always up to date you show
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up for your staff meeting and it s you
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know here s what s happened yesterday no
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need to copy and paste no screenshots
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none of that none of that stuff so
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that s awesome that was my first one
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maybe what about you what was your first
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so so I think you and I had a
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conversation on is there something here
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that other companies can can benefit and
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we said okay all we start with could
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snow itself leverage it um I think you
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share the vision with our it team team
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and they said okay we have the perfect
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use case and it s a very interesting
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tool or very interesting uh uh scenario
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where we ingest data from a number of
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sources uh how are the logs coming in
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from OCTA authentication or how are doc
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sign operations for for tools it s for
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tools that we ingested and one of the
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use cases that we have been using some
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of those data sets is to go and do
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license management of all the different
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SAS uh tools that we
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buy how do you know that if you bought a
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licenses you re using licenses
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uh the the the topic of shelfware exists
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in the subscription as a as a service
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type of business model where you pay and
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you don t know if you re using now with
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all these logs and all this information
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that we can get you can get visibility
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on is this real is it being consumed and
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our it team has decided okay we have the
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data let s go put it as part of the
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procurement process and decide let s
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right siiz our purchases we will buy
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what we are using what we re consuming M
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and interesting enough after they heard
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about the opportunity of having a code a
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document they said hey this is the
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perfect use case and I think you witness
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it the story being told by by Our IT
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team in one hour they were able to say
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here s an experience a front end to that
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data that can be used now as part as our
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workflow as part of procurement and uh
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it was an amazing success story and the
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time to value US amazing yeah and now
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it s amazing because I think that
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process is is a perfect example of
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marrying data all Ian it s amazing the
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the the set of data you guys put into
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that tool is incredible no surprise
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snowflake takes data seriously but then
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all the workflow around it it s just
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really amazing to because obviously it s
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a very human process to decide which
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tools you re going to keep which tools
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you re going to retire so on so it s
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great example maybe I ll give one more
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um so one more example from came from
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one of our customers where they used
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Koda and the snowflake pack for a sales
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use case and in this case um they were
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using Koda for for their account PL so
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they create a unique document per
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customer and uh you know the account
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plans look as you would expect it s you
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know lots of um you know writeups of
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here s the plan for the account here s
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the organization chart here s the notes
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from every meeting here s all the past
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contracts and all the negotiation and
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they took the snowflake pack and in this
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particular case they ingested user level
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data for what was happening with that
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account and one of the most fun examples
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I saw was they were ingesting all of the
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you know right next to the account plan
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and what s who s who what were the
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meeting notes so on was here s everybody
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who signed up yesterday and they added a
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column to it and they said with some
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criteria made a button that says invite
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this person to a webinar and you could
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they go through in the document in the
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document and it you know they put a
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little button and it was it really clear
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this is uh the next step they wanted to
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do and from the perspective of the sales
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leader they could um take this process
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and sort of push their account teams to
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All Connect new users to webar
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uh from the perspective of the team it
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was it was easy to do because it was in
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context of where they re working no
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