March 17, 2023 • 17 mins
Each week, TechTarget's news team and industry experts provide candid insight and analysis of the biggest IT news headlines of the week. On this week's show, IOTech Systems CTO Jim White describes how the companies' industrial customers are using edge computing; TechTarget reporter Esther Ajao explains the latest AI news from Microsoft, Google, and OpenAI; and TechTarget reporter Eric Avidon spells out what's helpful in the new version of Salesforce's Tableau analytics software.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Unknown (00:00):
I've been quoted by a couple of news groups out there
(00:02):
as saying your playtime is overat the edge and in the IoT
space.
Antone Gonsalves (00:08):
Hi, and welcome to Tech News this week,
I'm your host, and don't we'regonna solve this news director
for tech target. On today'sshow, we have iotex, systems
Chief Technology Officer JimWhite. He'll talk to us about
how he sees his customers usingedge computing. We have
techtarget reporter esta Zhao,who will discuss the latest
(00:32):
developments in AI and it's beena busy week. And reporter Eric
Avedon will talk to us about thelatest version of the tableau
analytics software owned bySalesforce. So first up is IoT
tech. Based in United Kingdom,the company developed software
(00:54):
that connects industrial gear toedge computing application, the
customer, the company'scustomers include building
automation, supplier JohnsonControls, other customers are in
manufacturing, renewable energy,transportation, and retail. So
here it is discuss the state ofedge computing and those
(01:16):
industries. Is IoT IoT techchef, Chief Technology Officer
Jim White. Okay, so edgecomputing that is seems to be a
trend, and particularly the useof edge and the cloud. I
realized that in many, manycompanies in the industries your
(01:38):
company serves are kind of inthe planning stage. Why? What
are you seeing out there and theevolution of edge and hybrid
edge?
Unknown (01:46):
Yeah, I think, you know, I like to say that there's
been an evolution from what Icall kind of a lift, shift and
sift mentality to putting moredown at the edge. What I mean by
that is, things like, dependingon the use case, things like
latency and availability ofcompute resources. And
ultimately, costs are drivingmore companies to think about
(02:10):
things moving a little bitcloser to the edge, in many
circumstances, a lot of reasons.So that, as I mentioned, you
wouldn't want to fire yourairbag from the cloud, for
example. But then there's somuch more you can really do at
the edge where you don't have todo that lift to shift and sift,
by moving everything to thecloud. And latency is just one
(02:31):
of those types of concerns. Sowe're seeing a lot of companies
in their evolution and theirpilots and their proof of
concepts, really starting to tryto take advantage of whatever
resources available. And a lotof that means moving things down
closer where the data isactually or originating.
Antone Gonsalves (02:49):
Yeah, what are the what are the use cases? What
are they looking foraccomplished with this
technology? Yeah, great
Unknown (02:57):
question. We're seeing a range of use cases. And when
we started biotech, we reallythought anticipated that a lot
of our products are going to beused more in industrial settings
and industrial IoT type ofenvironments. Indeed, groups
like Johnson controlledSchneider Electric, and paid a
lot of our bills, and we'rethankful for them. And they're
still customers today. But nowwe're seeing a wider variety of
(03:21):
use cases and a wider variety ofcompanies coming to us. Things
like aquaponics, and monitoringGrowbeds, retail point of sale,
theft, detection, getting intobattery management and
monitoring those battery fieldsout there. So a wide variety of
use cases. And that's reallywhat's making this industry
(03:41):
exciting for us is this kind ofexplosion of groups
participating as well as thetypes of problems they're trying
to solve.
Antone Gonsalves (03:48):
So you're seeing IoT grabbing data from
devices and doing analytics onit, but you're seeing it outside
of manufacturing, it
Unknown (03:57):
sounds like Yeah, absolutely everything from what
we call sensor fusion, which isbringing traditional sensors and
devices, temperature, heat,humidity, you know, bringing
that kind of data in but at thesame time, fusing that with
things like visual inputs. Thinkabout a point of sale and a
camera over the top of yourpoint of sale. Yeah, you got the
barcode reader, you've got theway scale you've got RFID but
(04:22):
now put a camera on top of that,and the camera sees things as
well. We use a camera is justanother kind of point of
information, another point oflight, and that whole mix. So a
variety of use cases are causinga variety of sensors to be
brought in all at the edge toinclude using AI and ML with
things like visual inference toimprove the picture what's going
(04:44):
on at the edge.
Antone Gonsalves (04:45):
And what would you say is accurate to describe
the market currently in theproof of concept? Stage our Do
you feel the company is movingbeyond that?
Unknown (04:57):
Definitely moving beyond that I've been quoted by
a couple of news groups outthere as saying, you know,
playtime is over at the edge andin the IoT space. And by that
what I mean is, you know, overthe last couple of years, we did
a number of proof of concept andpilot projects, and we're still
doing some of those. But we'reseeing a lot more companies
coming to us saying, hey, wewant more of a solution. We want
that solution at scale, and wewant it today. Which means, you
(05:21):
know, really providing a productout there that's ready for
primetime, as opposed to tryingto pull pieces and parts
together and experiment.companies, companies are really
saying, hey, we need to, youknow, get something out there.
Now, that gives us return on theinvestment. And we need to do
that in a way that is impactful,not just experimental. So we're
seeing an evolution within thelast year really, from from more
(05:46):
play time to more real time.
Antone Gonsalves (05:52):
Okay, next up is, is AI. It's been it's been a
busy week in the am AI market,Microsoft eliminated its AI
ethics team to reduce costs.Google brought generative AI
into the business collaborationinto its business collaboration
(06:13):
suite called workspace. And thetop of the news was open AI,
releasing GPT four, which is thelatest version of its large
language model. Here to help ushere's to explain what's going
on here why all this activity istechtarget reporter has to reach
(06:36):
out. So let's talk about GPT.For what does, what does it
bring to the table? What's newhere?
Esther Ajao (06:43):
Well, one of the new things is one thing that I
noticed specifically is thisability, would they call it like
a Socratic method. And so that'sone of the things that caught my
attention, right, obviously hasbetter performance capabilities
than its previous versions. Butthe Socratic kind of method that
they're using, allows it to kindof remember what prompts will be
(07:07):
given before. So it's not justlike an answer, you know, how to
GPC is like an answer. And youaccess something that answers
but it can't really rememberwhat was there before. But with
this, it's like you kind of havethis stages where it's kind of
having kind of, like humanconversation with you. So I
thought that was prettyinteresting. And also when
(07:28):
analysts pointed out to me thatit has kind of recognizes more
languages. So it was previousversions with like, more English
bias.
Antone Gonsalves (07:37):
Sure. Now, are there other different or more
use cases now for for GPT? Four,does that open up? The use of
this AI engine in other areas?
Esther Ajao (07:49):
Um, I believe so. I mean, one use case that I wrote
about and I was talking about isuse case for lawyers. So case
tax is the company that kind ofproduces a product called co
counsel. So she co counsel ispowered by GPT. Four. And the
CEO is telling me that when GPTfour, they noticed like the
(08:12):
performance was really better,but also it was working faster.
And so it worked. When Ipreviously spoke to the CEO, he
was like well, jeebies shout tpzwouldn't hasn't passed the bar
exam. And now we're GBT for it.Obviously, pious passes the bar
exam. And so it's a variousother academic exams.
Antone Gonsalves (08:35):
That's interesting. Yeah, I caught
that. That use case and I'm suremost people will be interested
in that. Because last time Ihired a lawyer, it was $400 an
hour. So I'm hoping that I'll beable to use GPT. Four in the
future.
Esther Ajao (08:52):
Well, use case for you as well, I think it's more
to help take out the like, themundane things and lawyers
parsing through documents,right. So they're co counsel
with the power of GPG fork andparse through documents. And
they can actually like researchquestions, you can draft things
for them, write things for them,but it's not like it's gonna be
(09:14):
a lawyer for you. So
Antone Gonsalves (09:17):
be a little pass on the savings towards you
know, the time we have left,let's go to Microsoft's
eliminating and say AI ethicsteam. What's up with that? I
mean, you would thinkMicrosoft's gonna put AI across
its its product portfolio. Soyeah, this raise concerns
(09:38):
amongst some some advocates.
Esther Ajao (09:43):
I mean, I found it interesting that the same day
this news came out Microsoftthat Microsoft will admit it is
AI ethics thing was also thesame day that open AI released
GPT four so I found that veryinteresting, but a lot of people
were kind of like confusedbecause as you know, Microsoft
has been putting check TBT intoeverything teams. It's basically
(10:05):
everything. And so likeeliminating a whole ethics team
kind of raised some eyebrows asto like, what are you guys
doing? And so one analysts wassaying that he heard rumors that
perhaps is because they, theywant to innovate more, they want
to focus more on innovation,versus within open AI. And so I
(10:26):
was brought up to me the ideathat perhaps they want to, I
guess, put give open AI thechance to focus on the ethics,
maybe, but many people were verylike, concerned, like, why would
you do this, especially becauseof the fact that that's extreme
was like six people from what Iheard. So it wasn't like a bunch
of team. But this was a teamthat was in charge of basically
(10:47):
translating the technology andtrying to figure out translating
it in terms of the technologythey providing, and trying to
figure out how big fits intocompliance. And so a lot of
concerns. Others believe thatthis could lead them to be more
under the scrutiny. It couldlead to more like perhaps legal
or regulation from both thestate lawmakers, as well as a
(11:11):
federal lawmakers. But yeah, Ithink Microsoft has put us under
a microscope without the need to
Antone Gonsalves (11:18):
the whole AI. industry right now is under the
mike mike. Just in the US.Alright, so last is Google, you
know, quickly the time we gotleft, generative AI and
workspace what's, what's thatgoing to bring?
Esther Ajao (11:36):
Well, what's gonna bring us now you don't need to
type in that email. You know, inGmail, if you need Gmail, if you
want to write an email in Gmail,you can have basically the large
language model and they don'thave aI models right for you. So
that's what they do. And theyput it in Google Gmail, they put
it in Google Docs. They alsohave this POM API, which allows
(12:00):
developers to have access to thelarge language models and kind
of experiment with it. So Googleis interestingly taking a
different approach thanMicrosoft in that Google is
giving people a chance toexperiment and kind of use the
larger language models that theyhave, and put it into their own
applications. Whereas Microsoft,as you know, is basically saying
we have the applications we havethe luxury models come use our
(12:21):
applications, you don't need tomake your own so it's a very
different approach. And I justdon't know who's gonna win out.
Antone Gonsalves (12:31):
Alright, lastly, we it's, we're gonna
talk about Salesforce is Tableauis data analytics, software. You
know, it's it's become acritical tool for gathering
forecast trends, predictions andrecommendations on customer data
within Salesforce, and othercustomer relationship management
(12:52):
software. This week, Tableauintroduced the latest version of
its application and to help usunderstand what's important
about that is techtargetreporter, Eric Avedon. Eric,
thanks for joining me in theshow. Thanks for having me,
Anton. And no problem. So what'snew? What's new with with
(13:14):
Tableau?
Unknown (13:15):
Yeah, so in version 20 23.1 of its platform, I'd say
the two the two highlightfeatures were the availability
of a tool called Data stories,which is a data automated data
storytelling tool in Tableauserver. Tableau offers Tableau
server for its on premisesusers, and then Tableau online
(13:35):
for its cloud customers. And itwas available in Tableau online
a few months ago. So now it'savailable to the to the entire
customer base. And then also inenhanced integration with Slack.
Slack, obviously, is also aSalesforce subsidiary. Both were
acquired by Salesforce. And thetwo have a pretty tight
integration where Tableau ServerTableau users can pull their
(13:59):
Tableau content into Slack.
Antone Gonsalves (14:01):
So yeah, that's Slack integration. I
mean, that's, that's criticalfor for Salesforce and, and why
is that tableau will in some waydifferentiates slack from, let's
say, teams or other competitorsis that if it
Unknown (14:19):
has an integration with teams, if you like instant
within slack, there's a tab forTableau users where they can
just click and get their Tableaucontent, it automatically
connects them to their Tableaucontent while they're still
within slack. I don't believethey have that within teams or
any other similar, similarcollaboration platform.
Antone Gonsalves (14:40):
I see. But but but Tableau has a very large
customer base outside of sales.That's right
Unknown (14:47):
Tableau, not all Tableau users are also
Salesforce are customers ofother Salesforce products.
Tableau was acquired in 2019 bySalesforce, but remains
essentially an independentdepartment within In Salesforce,
and has its own customer. Butthere
Antone Gonsalves (15:03):
is Do you find that there's development that
does more focused development onSlack than let's say, using
Tableau with other collaborationapplications?
Unknown (15:14):
Well, there's more for right, there's more focus on on
collaboration with Salesforcetools. So slack indeed is one of
them. There's their deepintegrations, like like that,
just a simple tab, on and on onyour Slack screen, where you can
get to all your tableau stuff.So that's obviously a much more
seamless way to access Tableau.So if you were collaborating in
(15:38):
teams, let's say if yourorganization use teams, you'd
have to toggle back and forthbetween Tableau and teams.
Whereas with Slack, it's rightthere.
Antone Gonsalves (15:49):
Okay. And last question here on, you know,
Tableau provides the analytics.But it's good to have the
intelligence but then you haveto take that in and do something
with it. Right? So is tap, whatis Tableau doing to kind of get
that bridge from intelligence toaction to be able to
Unknown (16:11):
do so about three months ago, in its last update
of 2022, it released a toolcalled external actions Tableau
external actions, which enablesusers to trigger actions
directly from their dashboards.So they don't same sort of like
with Slack, instead of having toleave their environment to go to
(16:32):
another tool and take the actionwithin that tool. They can now
connect Tableau to these otherworkplace applications and
trigger actions within thoseapplications from their Tableau
dashboard. It's something a fewother vendors have done as well.
Tibco has a similar tool. Ithink Power BI has has something
called Power automate, thatenables Power BI, which is
(16:56):
Microsoft users to triggeractions and click as well. But
it's it's a relatively newdevelopment within the analytics
space that you don't have to doyour analysis in one place. And
then move to another place totake action and then go back and
so you don't go back and forth.And it just it's a tons of time
(17:17):
saver. It's an efficiency saver.It's a brain flow and workflow.
It it seems, synthesissynthesizes bring in flow with
workflow basically.
Antone Gonsalves (17:28):
Okay, brain flow workflow. Okay, well,
that's an evolution we'll, we'llhave to continue watching.
Alright, that wraps it up forthis week. Thanks for watching
and enjoy the weekend and I hopeto see you next week.
I've been quoted by a couple of news groups out there
(00:02):
as saying your playtime is overat the edge and in the IoT
space.
Antone Gonsalves (00:08):
Hi, and welcome to Tech News this week,
I'm your host, and don't we'regonna solve this news director
for tech target. On today'sshow, we have iotex, systems
Chief Technology Officer JimWhite. He'll talk to us about
how he sees his customers usingedge computing. We have
techtarget reporter esta Zhao,who will discuss the latest
(00:32):
developments in AI and it's beena busy week. And reporter Eric
Avedon will talk to us about thelatest version of the tableau
analytics software owned bySalesforce. So first up is IoT
tech. Based in United Kingdom,the company developed software
(00:54):
that connects industrial gear toedge computing application, the
customer, the company'scustomers include building
automation, supplier JohnsonControls, other customers are in
manufacturing, renewable energy,transportation, and retail. So
here it is discuss the state ofedge computing and those
(01:16):
industries. Is IoT IoT techchef, Chief Technology Officer
Jim White. Okay, so edgecomputing that is seems to be a
trend, and particularly the useof edge and the cloud. I
realized that in many, manycompanies in the industries your
(01:38):
company serves are kind of inthe planning stage. Why? What
are you seeing out there and theevolution of edge and hybrid
edge?
Unknown (01:46):
Yeah, I think, you know, I like to say that there's
been an evolution from what Icall kind of a lift, shift and
sift mentality to putting moredown at the edge. What I mean by
that is, things like, dependingon the use case, things like
latency and availability ofcompute resources. And
ultimately, costs are drivingmore companies to think about
(02:10):
things moving a little bitcloser to the edge, in many
circumstances, a lot of reasons.So that, as I mentioned, you
wouldn't want to fire yourairbag from the cloud, for
example. But then there's somuch more you can really do at
the edge where you don't have todo that lift to shift and sift,
by moving everything to thecloud. And latency is just one
(02:31):
of those types of concerns. Sowe're seeing a lot of companies
in their evolution and theirpilots and their proof of
concepts, really starting to tryto take advantage of whatever
resources available. And a lotof that means moving things down
closer where the data isactually or originating.
Antone Gonsalves (02:49):
Yeah, what are the what are the use cases? What
are they looking foraccomplished with this
technology? Yeah, great
Unknown (02:57):
question. We're seeing a range of use cases. And when
we started biotech, we reallythought anticipated that a lot
of our products are going to beused more in industrial settings
and industrial IoT type ofenvironments. Indeed, groups
like Johnson controlledSchneider Electric, and paid a
lot of our bills, and we'rethankful for them. And they're
still customers today. But nowwe're seeing a wider variety of
(03:21):
use cases and a wider variety ofcompanies coming to us. Things
like aquaponics, and monitoringGrowbeds, retail point of sale,
theft, detection, getting intobattery management and
monitoring those battery fieldsout there. So a wide variety of
use cases. And that's reallywhat's making this industry
(03:41):
exciting for us is this kind ofexplosion of groups
participating as well as thetypes of problems they're trying
to solve.
Antone Gonsalves (03:48):
So you're seeing IoT grabbing data from
devices and doing analytics onit, but you're seeing it outside
of manufacturing, it
Unknown (03:57):
sounds like Yeah, absolutely everything from what
we call sensor fusion, which isbringing traditional sensors and
devices, temperature, heat,humidity, you know, bringing
that kind of data in but at thesame time, fusing that with
things like visual inputs. Thinkabout a point of sale and a
camera over the top of yourpoint of sale. Yeah, you got the
barcode reader, you've got theway scale you've got RFID but
(04:22):
now put a camera on top of that,and the camera sees things as
well. We use a camera is justanother kind of point of
information, another point oflight, and that whole mix. So a
variety of use cases are causinga variety of sensors to be
brought in all at the edge toinclude using AI and ML with
things like visual inference toimprove the picture what's going
(04:44):
on at the edge.
Antone Gonsalves (04:45):
And what would you say is accurate to describe
the market currently in theproof of concept? Stage our Do
you feel the company is movingbeyond that?
Unknown (04:57):
Definitely moving beyond that I've been quoted by
a couple of news groups outthere as saying, you know,
playtime is over at the edge andin the IoT space. And by that
what I mean is, you know, overthe last couple of years, we did
a number of proof of concept andpilot projects, and we're still
doing some of those. But we'reseeing a lot more companies
coming to us saying, hey, wewant more of a solution. We want
that solution at scale, and wewant it today. Which means, you
(05:21):
know, really providing a productout there that's ready for
primetime, as opposed to tryingto pull pieces and parts
together and experiment.companies, companies are really
saying, hey, we need to, youknow, get something out there.
Now, that gives us return on theinvestment. And we need to do
that in a way that is impactful,not just experimental. So we're
seeing an evolution within thelast year really, from from more
(05:46):
play time to more real time.
Antone Gonsalves (05:52):
Okay, next up is, is AI. It's been it's been a
busy week in the am AI market,Microsoft eliminated its AI
ethics team to reduce costs.Google brought generative AI
into the business collaborationinto its business collaboration
(06:13):
suite called workspace. And thetop of the news was open AI,
releasing GPT four, which is thelatest version of its large
language model. Here to help ushere's to explain what's going
on here why all this activity istechtarget reporter has to reach
(06:36):
out. So let's talk about GPT.For what does, what does it
bring to the table? What's newhere?
Esther Ajao (06:43):
Well, one of the new things is one thing that I
noticed specifically is thisability, would they call it like
a Socratic method. And so that'sone of the things that caught my
attention, right, obviously hasbetter performance capabilities
than its previous versions. Butthe Socratic kind of method that
they're using, allows it to kindof remember what prompts will be
(07:07):
given before. So it's not justlike an answer, you know, how to
GPC is like an answer. And youaccess something that answers
but it can't really rememberwhat was there before. But with
this, it's like you kind of havethis stages where it's kind of
having kind of, like humanconversation with you. So I
thought that was prettyinteresting. And also when
(07:28):
analysts pointed out to me thatit has kind of recognizes more
languages. So it was previousversions with like, more English
bias.
Antone Gonsalves (07:37):
Sure. Now, are there other different or more
use cases now for for GPT? Four,does that open up? The use of
this AI engine in other areas?
Esther Ajao (07:49):
Um, I believe so. I mean, one use case that I wrote
about and I was talking about isuse case for lawyers. So case
tax is the company that kind ofproduces a product called co
counsel. So she co counsel ispowered by GPT. Four. And the
CEO is telling me that when GPTfour, they noticed like the
(08:12):
performance was really better,but also it was working faster.
And so it worked. When Ipreviously spoke to the CEO, he
was like well, jeebies shout tpzwouldn't hasn't passed the bar
exam. And now we're GBT for it.Obviously, pious passes the bar
exam. And so it's a variousother academic exams.
Antone Gonsalves (08:35):
That's interesting. Yeah, I caught
that. That use case and I'm suremost people will be interested
in that. Because last time Ihired a lawyer, it was $400 an
hour. So I'm hoping that I'll beable to use GPT. Four in the
future.
Esther Ajao (08:52):
Well, use case for you as well, I think it's more
to help take out the like, themundane things and lawyers
parsing through documents,right. So they're co counsel
with the power of GPG fork andparse through documents. And
they can actually like researchquestions, you can draft things
for them, write things for them,but it's not like it's gonna be
(09:14):
a lawyer for you. So
Antone Gonsalves (09:17):
be a little pass on the savings towards you
know, the time we have left,let's go to Microsoft's
eliminating and say AI ethicsteam. What's up with that? I
mean, you would thinkMicrosoft's gonna put AI across
its its product portfolio. Soyeah, this raise concerns
(09:38):
amongst some some advocates.
Esther Ajao (09:43):
I mean, I found it interesting that the same day
this news came out Microsoftthat Microsoft will admit it is
AI ethics thing was also thesame day that open AI released
GPT four so I found that veryinteresting, but a lot of people
were kind of like confusedbecause as you know, Microsoft
has been putting check TBT intoeverything teams. It's basically
(10:05):
everything. And so likeeliminating a whole ethics team
kind of raised some eyebrows asto like, what are you guys
doing? And so one analysts wassaying that he heard rumors that
perhaps is because they, theywant to innovate more, they want
to focus more on innovation,versus within open AI. And so I
(10:26):
was brought up to me the ideathat perhaps they want to, I
guess, put give open AI thechance to focus on the ethics,
maybe, but many people were verylike, concerned, like, why would
you do this, especially becauseof the fact that that's extreme
was like six people from what Iheard. So it wasn't like a bunch
of team. But this was a teamthat was in charge of basically
(10:47):
translating the technology andtrying to figure out translating
it in terms of the technologythey providing, and trying to
figure out how big fits intocompliance. And so a lot of
concerns. Others believe thatthis could lead them to be more
under the scrutiny. It couldlead to more like perhaps legal
or regulation from both thestate lawmakers, as well as a
(11:11):
federal lawmakers. But yeah, Ithink Microsoft has put us under
a microscope without the need to
Antone Gonsalves (11:18):
the whole AI. industry right now is under the
mike mike. Just in the US.Alright, so last is Google, you
know, quickly the time we gotleft, generative AI and
workspace what's, what's thatgoing to bring?
Esther Ajao (11:36):
Well, what's gonna bring us now you don't need to
type in that email. You know, inGmail, if you need Gmail, if you
want to write an email in Gmail,you can have basically the large
language model and they don'thave aI models right for you. So
that's what they do. And theyput it in Google Gmail, they put
it in Google Docs. They alsohave this POM API, which allows
(12:00):
developers to have access to thelarge language models and kind
of experiment with it. So Googleis interestingly taking a
different approach thanMicrosoft in that Google is
giving people a chance toexperiment and kind of use the
larger language models that theyhave, and put it into their own
applications. Whereas Microsoft,as you know, is basically saying
we have the applications we havethe luxury models come use our
(12:21):
applications, you don't need tomake your own so it's a very
different approach. And I justdon't know who's gonna win out.
Antone Gonsalves (12:31):
Alright, lastly, we it's, we're gonna
talk about Salesforce is Tableauis data analytics, software. You
know, it's it's become acritical tool for gathering
forecast trends, predictions andrecommendations on customer data
within Salesforce, and othercustomer relationship management
(12:52):
software. This week, Tableauintroduced the latest version of
its application and to help usunderstand what's important
about that is techtargetreporter, Eric Avedon. Eric,
thanks for joining me in theshow. Thanks for having me,
Anton. And no problem. So what'snew? What's new with with
(13:14):
Tableau?
Unknown (13:15):
Yeah, so in version 20 23.1 of its platform, I'd say
the two the two highlightfeatures were the availability
of a tool called Data stories,which is a data automated data
storytelling tool in Tableauserver. Tableau offers Tableau
server for its on premisesusers, and then Tableau online
(13:35):
for its cloud customers. And itwas available in Tableau online
a few months ago. So now it'savailable to the to the entire
customer base. And then also inenhanced integration with Slack.
Slack, obviously, is also aSalesforce subsidiary. Both were
acquired by Salesforce. And thetwo have a pretty tight
integration where Tableau ServerTableau users can pull their
(13:59):
Tableau content into Slack.
Antone Gonsalves (14:01):
So yeah, that's Slack integration. I
mean, that's, that's criticalfor for Salesforce and, and why
is that tableau will in some waydifferentiates slack from, let's
say, teams or other competitorsis that if it
Unknown (14:19):
has an integration with teams, if you like instant
within slack, there's a tab forTableau users where they can
just click and get their Tableaucontent, it automatically
connects them to their Tableaucontent while they're still
within slack. I don't believethey have that within teams or
any other similar, similarcollaboration platform.
Antone Gonsalves (14:40):
I see. But but but Tableau has a very large
customer base outside of sales.That's right
Unknown (14:47):
Tableau, not all Tableau users are also
Salesforce are customers ofother Salesforce products.
Tableau was acquired in 2019 bySalesforce, but remains
essentially an independentdepartment within In Salesforce,
and has its own customer. Butthere
Antone Gonsalves (15:03):
is Do you find that there's development that
does more focused development onSlack than let's say, using
Tableau with other collaborationapplications?
Unknown (15:14):
Well, there's more for right, there's more focus on on
collaboration with Salesforcetools. So slack indeed is one of
them. There's their deepintegrations, like like that,
just a simple tab, on and on onyour Slack screen, where you can
get to all your tableau stuff.So that's obviously a much more
seamless way to access Tableau.So if you were collaborating in
(15:38):
teams, let's say if yourorganization use teams, you'd
have to toggle back and forthbetween Tableau and teams.
Whereas with Slack, it's rightthere.
Antone Gonsalves (15:49):
Okay. And last question here on, you know,
Tableau provides the analytics.But it's good to have the
intelligence but then you haveto take that in and do something
with it. Right? So is tap, whatis Tableau doing to kind of get
that bridge from intelligence toaction to be able to
Unknown (16:11):
do so about three months ago, in its last update
of 2022, it released a toolcalled external actions Tableau
external actions, which enablesusers to trigger actions
directly from their dashboards.So they don't same sort of like
with Slack, instead of having toleave their environment to go to
(16:32):
another tool and take the actionwithin that tool. They can now
connect Tableau to these otherworkplace applications and
trigger actions within thoseapplications from their Tableau
dashboard. It's something a fewother vendors have done as well.
Tibco has a similar tool. Ithink Power BI has has something
called Power automate, thatenables Power BI, which is
(16:56):
Microsoft users to triggeractions and click as well. But
it's it's a relatively newdevelopment within the analytics
space that you don't have to doyour analysis in one place. And
then move to another place totake action and then go back and
so you don't go back and forth.And it just it's a tons of time
(17:17):
saver. It's an efficiency saver.It's a brain flow and workflow.
It it seems, synthesissynthesizes bring in flow with
workflow basically.
Antone Gonsalves (17:28):
Okay, brain flow workflow. Okay, well,
that's an evolution we'll, we'llhave to continue watching.
Alright, that wraps it up forthis week. Thanks for watching
and enjoy the weekend and I hopeto see you next week.
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