Step into a special episode titled - Google Next Recap: Where is Google going with Gemini and Agentic AI? Today we're joined by Koby Phillips as Host, where he interviews Josh today as he recently attended Google's annual Cloud Conference: Google Next. Josh and Koby dive into what Josh saw around products, what was hype, what was real, and more. They'll touch on not just infrastructure, but also security, Google Vertex AI, Gemini, and the biggest theme of them all, Agentic AI. Josh and Koby spend a ton of time on what this is, how it works, and where the products really come to market. Don't miss this one, as there was so much to hear about from Google and not just what's coming, but what's here now!
Mark as Played
Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
Welcome to the podcast designed to fuel your success in selling
technology solutions. I'm your host, Josh La Presto,
SVP of Sales Engineering at Polaris, and this is Next Level
Biztech. Everybody, welcome back.
We got a special episode for you.
We have been out there in the market, lots of industry events,
(00:23):
lots of things happening. Really pay attention and paying
attention to what's going on andwhat that's going to mean for us
in the partner community. So today's episode is titled the
Google Next recap. Lots of good stuff happened a
couple weeks ago. I went out to Google Next this
year. You know, Kobe and I, we talked
about this, you know, late last year, we went out to AWS
(00:44):
Reinvent and so thought it'd be awesome to have Kobe Phillips
back on VP of the cloud practiceto flip the tables, interview me
and we talk about Google next. So Kobe, welcome back on is is
not only the only person to everhost, but the only person the
second time to ever host. So good to have you back man.
Well, I'm certainly honored. I appreciate you having the
(01:05):
confidence in me to take the reins for an episode or two and
happy to be here. Awesome, man.
I'm going to turn it over to you.
Let's talk through. I know you've got some good
thoughts here and excited to tell the partners about what we
saw and what it means. Yeah.
I mean for those that couldn't attend, Josh, kind of just give
the landscape of what Google next is.
I know we we had the previous podcast that talked about AWS
(01:27):
Reinvent. Maybe you know, any key
differences between the two conferences or any highlights
that that really stuck out to? Yeah.
So Google Next is, you know, essentially think Google clouds
annual conference. So, you know, we we talked about
reinvent reinvents going on for years and years and years that
happens out in Las Vegas and nowGoogle Next has been happening
(01:49):
for the last few years. So Google Next, on the surface,
it might feel like this is a wayfor them to just show all their
products. You might want to be dismissive
of it. And it's just a big marketing
thing. And the reality is it couldn't
be more far from that. And so if you think about just
for a second flashback to what'swhat stands out to me, as I
(02:09):
remember, you know, 5 to 10 years ago when we were looking
at Google Cloud and people were going, is this, are they really
going to invest in this or they just going to going to give up?
And now seeing this thing, it's a $50 billion run rate between
all the products that are there between where Google Cloud has
kind of figured this out between, you know, Thomas
running that whole organization.And so we'll, we'll dive into a
(02:30):
lot of this, but just seeing that this is real, this, this
is, it was very well orchestrated.
It was 30,000 of myself and my closest friends and a lot of
good sessions, a lot of good keynotes and seeing what's to
come. And Google is really here to
play and and and they are not. They are not a joke.
(02:51):
Well, and I appreciate that background because if I'm
sitting as an advisor and I'm, I'm looking at it just from the
lens of our community, I'm like,what's the point of going to
sound like Google's not directlyin, but they're influencing a
ton, right? And they have a ton, a lot of
partnerships with suppliers thatare in their ecosystem that are
going to be impacted by some of these technology advancements
and updates and things like that.
(03:12):
It's, it is a mix of end users, their partners that are, you
know, deemed suppliers in our, in our neck of the woods.
But what are some things that really stuck out to you as far
as some of those like innovativethings that we come to expect
from Google? Yeah.
I, I think the other, the other way to probably I should frame
this up before I start is when we go out and see these things,
(03:33):
when we go to Dreamforce for Salesforce or AWS for Reinvent
or now Google Next, what tends to happen is the enterprise
customers start to adopt these things and these trends and
these products 1st. And so often what you'll see is,
you know, the XYZ session that Igo to, they might have, you
know, a Google engineer or Google head of product mixed
(03:56):
with maybe somebody from the customer side, obviously to do
the testimonial and to talk about how they've already built
it. It already works.
And so we tend to then see thosethings over the next, you know,
12 to 18 months, transcend into organizations of all shapes and
sizes. And so, you know, we had a lot
of, you know, finally the spot where we have overlap, you know,
seeing suppliers there, dial padand Equinex and five nine and,
(04:18):
and wrap scale and all these. So seeing that, that connection
into our ecosystem and then finally seeing, you know,
picking my, my sessions, you know, 30,000 was a lot more
manageable than it was at AWS, where it was 100,000 people
spread across 8 or 9 different hotels.
That was a lot. This was this felt manageable.
It felt like you could get to all the things that you wanted
to get to set your schedule accordingly, make your way
(04:40):
through the Expo hall. But but no surprise, AI at the
forefront. And so almost every session that
I was in either some, some product around AI, agentic AI
and how people are already usingit.
Some of the big standards comingout that we'll talk to that,
that we, you know, we were just talking last week at our big
Salt Lake AI summit about the agent to agent protocol and kind
(05:02):
of what that new standard is andhow I think you're going to see
that through everything. Some security things that we can
talk about that that we've seen you know a lot generally in that
infrastructure and security sideand and you know really the the
customer experience side model building and things like that
were some of the highlights. We talked about kind of being
overwhelming for, you know, justhow much it is at the AWS.
(05:24):
And I would argue this is probably, if you're an end user
like your customer, it can be equally overwhelming.
The analogy that I that kind of pops into my head is when you go
to a home show, right? And you're like, oh, I want my
landscaping to look like that, right?
I want this or that, but I don'thave the skill set to do it.
And this is where the advisor advantage comes in with the
suppliers that Josh had mentioned and others that that
(05:45):
were also in attendance. They're the ones that can go and
make all of these things happen for customers.
And yes, it starts at the enterprise level, but you get a
lot of that mid market smaller enterprise that doesn't have the
skill set and resources on staff, but they see all of these
advanced. So Josh, you talk about AI and
some of the stuff that really pops out.
(06:06):
What in particular that stood out to you?
That was one of those like, wow,that's really cool and
impactful. Maybe just one or two of those
things that you saw there. Yeah, I think probably the most
interesting or most maybe surprising moment was to see how
some of these, you know, going through some of the migration
talks and how some of these big Google migrations have already
(06:27):
happened. Some of these AI implementations
have already happened and peopleare already using them.
Where you think, OK, you know, we're, we've only been at this
AI thing, you know, the last oneto two years.
How how mature can how mature can products really already be?
And you're constantly surprised,you know, we talked about this
again last week, but you're you're surprised to see how far
(06:51):
these things really are. So I'll talk about maybe the
first one in seeing where a big OEM and the Google engineer that
leads out the agent to agent protocol.
And so it's going down this agentic AI theme.
And that was the theme that thatclearly was everywhere but
seeing first if I, the customer have maybe Salesforce as my CRM
(07:14):
and I'm going down the road of Google Cloud and maybe I wanna
build my own models. I wanna train my own models.
I wanna interact with other models and things like that.
Well, I need to make it. If I'm Google, I need to make it
easy to embrace whatever a customer already has, whatever
software and SAS and infrastructure and tooling that
(07:35):
a customer already has. Maybe they have Atlassian, maybe
they're doing Jira for ticketingand things like that.
Well, if Google's smart, they, they figure out a way to interop
with everybody. And that's what this agent to
agent protocol standard does is it says, OK, you're going to use
Salesforce, you're going to use Google Vertex for Google Cloud.
And then maybe you're going to use Atlassian and Jira for some
(07:56):
of your ticketing and management.
Well, you're gonna kick off a request.
Maybe that comes in. Maybe everybody's used to using
your software at the customer side, Jira for ticket
management. Or maybe that ticket management
needs to kick off an agent, an AI agent in sales force to do
something and to respond to a customer.
Maybe it needs to tick off something in Vertex AI because
(08:16):
you've built out a small custom model around, you know, just
that makes most the most sense for your business.
And so I think the idea when AI first came out, it was, Oh my
gosh, how are I can have this model over here and this AI
tool, this AI tool. But now we have a standard to
say, OK, here's what state each of these agents will be in.
Here's the task each of them wasassigned to do.
(08:38):
Here's the security authorization that each of them
has to do. And here's how long each of
those are going to go on, right?So that now Atlassian and, and
if that's the entry point where people come in and, and start to
kick off some of these agents, they now that that Atlassian
kind of brain, think of it as the brain can manage all these
other agent cards. And that was really seeing that
(09:01):
in action, seeing something comein, kick off a ticket in
Salesforce, kick off something in Google and have it all work
together to then automatically, you know, agentically we're
going to overuse that. But seeing that.
It's, it's not going to get overused because it, I mean,
it's that impactful, right? So see it.
See it happen and then feedback,a response to a customer via
(09:23):
chat. See it all happen real time.
And, and because of that protocol and things like that.
So that protocol was that's a big one.
I mean, they've already got a hundred, a hundred OEMs
interopped on that to be able tosay this is the language we're
going to agree upon. And just, you know, let's take a
quick pause for for everybody listening a gentic AI.
If you haven't heard of it by this time of the of this
(09:44):
recording, you will a lot trust us.
That will be a main phrase goingforward.
What Josh just laid out was essentially a good example of
what that is. It's multiple applications
working together in an agent to agent like status and then
driving an outcome, right? Where usually you'd have to
(10:05):
build in code and, and do all these things in between.
It's, it's now starting to work together driven by the AI
protocols that are set in place and the parameters.
So this is this is the next evolution where you go, if you
look at the way AI has been, it's been a really good
executive assistant, but it's been that, that that employee
that you had to go tell what to do every single step of the way,
(10:25):
or at least give them a pretty good amount of guidance.
This is now starting to take andbe proactive.
And a lot of these a lot of these examples where it's going
to go and do it for you based onhow you set it up.
So imagine giving, you know, somebody a little bit of an idea
of like, hey, go clean and organize that room and it'll go
and do it for you versus go and mop the room or sweep it, mop
(10:49):
it, put this here, organize out there, store these here, do
this, that those are the differences.
So like it'll go and figure it out on its own now a little bit
based on all of all of the directions you give it, but
you're not having to give it every single prompt and
direction along the way. And that's just one of the one
of the, the many different things that agentic AI is going
(11:10):
to bring to the table. It, it's going to, you know,
scale way past that example. But that is not a surprise to me
that that was at the forefront of a lot of the conversation
that agentic AI will be the digital transformation of, you
know, the coming months and, andpotentially further, in my
opinion, and as advisors, you know, hitting on that.
(11:32):
So Josh, you hit on some really good examples of like how big of
a conversation this was at Google.
You know, everything's going to pop in and go, you know what
else you know, what about the security angle?
Like how does that work and how does that play?
And what what did Google Next offer when it comes to like,
security and infrastructure conversations?
Yeah, so from a security side, I'm forgetting the title of the
(11:52):
session, but I got to sit with aguy that's kind of essentially
over threats and sock for Googlefor the last 15 plus years,
right. So this guy's been there for
quite a long time, super innovative, but also has had to
manage this at massive, massive scale.
And there was a, there was a common phrase that I like that I
would love to see us start usingis I think there's a stigma
(12:14):
sometimes with AI of just because AI is in the
conversation means it has to replace something.
And that I think that's just wrong.
And so they used some terminology that I love called
human in the loop. So there's always a human in the
loop because we are nowhere quite yet near a spot where we
can say we have implicit trust that this AI agent or this AI
(12:38):
software that I put in place is going to do everything that I
needed to do. Even in those previous
conversations where agentic AI, right?
Each of those things says if, ifyou struggle or if you get to a
certain point, figure out quickly if we need to have a
human in the loop to invoke a human agent and take that to a
live conversation, right? We don't want people to struggle
and have a bad taste in their mouth from an AI perspective, if
(12:59):
we can avoid it. And so from a security
perspective, it, it was where are we on full manual, semi
autonomous and then fully autonomous.
And we are not in that fully autonomous bucket yet.
We're somewhere in this kind of old school manual meets semi
autonomous way. And so the biggest thing that,
that I see that they showed is 1, you know, not having to write
(13:23):
run books anymore from scratch, not having to write rule sets,
custom rule sets in your SoC, inyour SIM, in, in those in your
MDR platform anymore, right? Really being able to to to lean
on the agent to write those. And then also just from an
advanced threat hunting perspective, if you think about
the positive spin of what AI cando from a threat hunting
(13:44):
perspective, we've always in, insecurity, it seems like we've
always been in this spot where we're always trying to catch up
to the thing that just came out right.
And, and, and, and find a way to, you know, get these zero
days, OK, We need 24 hours, 12 hours to, to put something out
that mitigates this threat or this gap or this patch problem
or, or whatever it might be. So if you, you think about
(14:06):
advanced threat hunting, the, the, the, the vision on it was
being able to have agents that are out doing advanced threat
hunting crawling on the dark weband bringing those back and
creating rule sets before you even have to think about
creating a custom rule on something that you didn't even
know existed yet. And so that that was a big thing
from an advanced threat hunting perspective.
(14:26):
So more proactive management again versus reactive response
on the non security side. And what I'm kind of hearing is
everything's built with securityframework in mind, right from
the from every lens of technology nowadays.
Google's obviously no differencehere.
What you know, what in particular in the infrastructure
piece did you hear and see from from the event that maybe stuck
(14:50):
out to you as well? You know, a couple things.
There were some similar trends that we saw like we saw at
Reinvent, you know, coming out with the new, the new chips, the
new TPU chips that are better atinference, you know, version 6
or, or whatever it was, right, can handle more, more teraflops,
more inference models, more parallel processing, all these
(15:12):
things that models need to train.
And so there's clearly a, a little bit of a theme here of,
OK, if you're going to come intoour ecosystem, we have to give
you good hardware on our underlying equipment if we want
to leverage our infrastructure to train on our models, right?
So the other piece of that you know, in in addition to
obviously kind of Gemini being that forefront and we'll come
(15:35):
back to that is really Vertex AIseems to be kind of this core
platform that is the standard ofall model building and all
things that go in and out of model building both from a
security perspective. From where in the infrastructure
I need to tie this into, is thata database?
(15:55):
Is that a big query thing? Is that a fire Store thing, you
know, a no sequel database? And so seeing kind of interop
between all of those and how Vertex seems to be at the
epicenter of that or maybe it's just, you know, storing it
somewhere else besides, you know, Fire Store, Firebase,
those kind of things, infrastructure and database and
(16:16):
security all were all three werekind of always mixed into the
Gemini and and Vertex conversation.
Yeah. And we'll, I'll come back to the
Gemini because I do have a couple questions on on Gemini in
particular. But again, just to kind of
hammer that home, it's what I'm loving about, you know, when we
went to reinvent what I'm seeingfrom Google and how that'll
trickle in our ecosystem throughour supplier partners and their
(16:39):
ability to deliver on behalf of their customers, right.
Is the the welcome. We kind of, we can work with
that mentality. Oh, you have this.
Yeah, we can work with that. You have that, we can work with
that. And that hasn't always been the
case in technology. There's been a lot of like, oh,
we don't work with that one and we don't work with that one.
And that's becoming less and less the case, especially in
(16:59):
these hyperscalers. And they're allowing for that.
And then just in the competitivelandscape, what it, what ends up
happening after the fact, right,is the ability to then go from
hyperscale to private cloud and then see what they model in
after it to stay competitive as well.
So it's a really cool like kicking off point and everyone's
really excited about it. And so that is that's what I'm
(17:23):
getting really, really excited about.
And you know what Google's really pumping kind of going
back to the Gemini piece of it is, you know, where it's at in
the landscape as far as their, you know, AI assistant and
things like that in comparison. And that's their go to market,
you know, product against say, Microsoft Copilot or even
Bedrock from AWS. Do they do they pump any new
(17:46):
features coming out of that? Yeah, I think kind of this
constant compete of seems like whatever we see in ChatGPT,
whatever we see in AWS Bedrock and we don't see Bedrock as much
in this conversation. But when we see what the latest
and greatest this week in the amount of parameters or the
model or the reasoning versus, you know, standard model that we
(18:08):
have in Copilot and Gemini and and then, you know, over here,
open AI seems like a constant every other week.
Oh, OK, this one added deep research now.
So now besides just getting quick answers, Google and Gemini
added deep research, which meansI can go pull from a ton of
sources, take a little more time, but pull from a ton of
(18:30):
sources. So if you haven't used the same
way, maybe you've used ChatGPT and open AI just for your
day-to-day kind of questions andanswers, try out Google Gemini
for and hit the deep research button and watch what it's able
to do to help you pull together a really comprehensive analysis
around a complicated question. And so seeing that really
(18:51):
starting to expand multimodal. So being able to do voice and
video and, and you know, image and things like that.
They're catching up a little biton on that, that piece of it as
well. And you know, you saw things
like if anybody hasn't played with this was really cool.
The notebook LLM or you give it a little bit of information
about yourself and then it goes and creates this is powered by
(19:12):
Gemini. It goes and creates a podcast
essentially like imagine, imagine I fed it a bunch of
information about you or a bunchof information about me.
It now then goes and creates an audio file that's a podcast, you
know, where somebody's interviewing information or or
interviewing things about one ofus talking about us.
So it's just wild contextually how it's getting it more and
(19:33):
more and more accurate. What's really interesting is I
see a lot of the stuff that's out now, this is like, that'd be
a really cool idea, but there's no reason to go and build it at
all. But now it's so easy to build
and put out there that you get that type of thing.
You're like, hey, wouldn't it becool if it seemed like somebody
was talking about us on a podcast and they're like, yeah,
well, who would spend time to godo that?
(19:53):
What's the market for it other than just being, like a cool
idea? Yeah, well, there is a market
for it. It is a cool idea.
And now they're delivering it and we see more of that.
You never know what's gonna add value to to somebody's day.
Well, and, and the thing that I would call out is I've, I've
always been a critic that I didn't think in years past, like
I, I felt that Google was a great, great, great
(20:14):
infrastructure company behind the scenes, but never was great
at the speed that everybody elsewas of productizing everything,
right? They productized Gmail, that's
great. And they productize calendaring.
That's great. But there were all these other
great things that they had. They just never quite figured
out how to deliver them at scaleand productize them at scale.
(20:37):
While Microsoft has done this, AWS has done this, others,
others have done this. And I, I think that I think it's
different now. I think it's dramatically
different now, especially infrastructure side.
I feel like they're getting moredisciplined on product, right?
Like to your point, they have the highest abandoned rate.
You would see something come outand then they're like, oh,
that's really cool. And they're like, where to go?
(20:58):
They're like they, they, they cut it where you look at like
Microsoft and now Azure locals about the 3rd or 4th iteration
of the same thing that they might, they might tweak, change,
maybe even rename, but they stick with their products and
deliver it to market until essentially it, it starts to
work out in their favor. AWS seems to be more in the
middle of that. They'll cut some product, but
(21:19):
they'll stick with it. So it is, it is interesting to
see the evolution of Google, Oneof the things that Google has
always been known for. And I'd love to get your opinion
on this, where they're at with their partnerships, because this
is where like as an advisor, this is an important question,
right? Like when we say Google and
their partners, that means the partnerships to the suppliers,
(21:39):
you know, that we rely on day in, day out to deliver services
to our client bases and how we go to market.
So where are you seeing that go in, you know, out of coming out
of the show? Is it as relevant to Google as
it has been in the past where that was one of the premier
things that everybody always talked about?
Yeah, love, love this question because this is this is just
(22:03):
exciting to see. So if if I flashback to years
past, as we've watched these hyperscalers build up, you know,
their goal in the beginning is to just build great products and
they'll figure out a way to get them to market.
And so early years of AWS at first was not they didn't know
or understand what a partner community was or is or what that
(22:26):
means. And now and are, you know, Matt,
Matt Koran might be butchered that name, but Matt Koran, he
sorely like he he dramatically understands the partner
ecosystem and is fully, fully embraced into the partner
community. So awesome to see that standard
now in the last year or two fromAWS, Google under Thomas Kurian
(22:48):
has really, really leaned in andgo, Oh my gosh, this whole
partner community, this is, thisis a really big and important
thing. And so seeing them embrace the
partner ecosystem as a whole, and I know that means a lot of
different things. ISVSSIS here we are in the TSD
side, right? We'll get recognized as part of
that in proximity to the vendorsthat we talked about earlier.
(23:10):
And so I love where they are fully, fully embraced into this
partner community. And you see that, OK, saying it
is one thing, but seeing it through the different funding
programs that are available thatare accessible to build these
out and go reach and get fundingpotentially to build Pocs for
(23:30):
our customers for our opportunities.
Excited to see that. We saw that early on in AWS with
MAP funding. Microsoft and Azure came in with
their version of it. And now to see Google have it,
that really tells us that, hey, Google is here to stay into the
partner community and and exciting to see how they will
continue to embrace that and continue to put their money
(23:52):
where their mouth is, both of trying to get these away from,
you know, other hyper scalers and see them all compete against
each other. But that got to follow the money
trail. And when the money trail's
there, that tells me they're in.You know, I always refuse to
pick a favorite because they allbenefit us, right?
They all do stuff a little bit different, but what we're seeing
(24:12):
in particular out of you just mentioned AWS as well and Google
is really leaning in to, to the better funding programs that
you've mentioned and how that trickles in.
And then that's being offered through, you know, in, in
different scopes of works and, and opportunities and things
like that that our advisors are getting into.
There's more to come on this guys.
We won't get too, too out of ourskis, but there is a lot of
(24:35):
interest in the modern distribution, you know,
mechanism that you guys are driving is for these for these
hyperscalers as well. And you're going to see a lot
more interest in collaboration through the suppliers and
everything that we already, sorry, already have access.
I don't know where I trailed offon that one.
Granted, it is Monday, guys. Yeah, in case you record this a
(25:00):
little bit of a struggle bus forboth of us.
But Josh, if you had one major, you know, thing from the
breakout sessions and everythingelse you saw, you know, at the
next conference, what would thatbe and why?
And like, what do you think would be the most impactful for
advisors to pay attention to? 4 words don't sleep on Google.
(25:21):
Maybe you felt like you could dothis in years past.
Don't sleep on it. And you know, look, I, I
recognize that some of the things that we're talking about
are leading edge, but some of itis already productized and
usable. And so I think the speed at
which even more becomes productized and usable
accelerates over the next 6 to 12 months.
(25:43):
I think the run rate we, we haveto be just fully aware that the
run rate they made it to 50 billion.
That's an exciting place to be. There is no slowing down on that
gas pedal. So we'll continue to stay, we
know with these things like the agent to agent protocols, what
new adoption of Gemini has, you know, what POC options are out
there and things like that. But we'll continue to bring
(26:05):
those things to you and, and payattention to how that how that
works in our ecosystem. But when your customer says they
have Google and they have infrastructure or they're
considering Google infrastructure for XYZ reason,
don't shy away from that. We absolutely can help you with
that. And that wasn't the answer in
years past. So it's an exciting time to be
here to say, we really don't care what your customers are
(26:29):
already invested in. We can absolutely help.
And Google is now a deep part ofthat conversation.
Yeah. And if you start to break down
where they're winning, it's it used to be like start up
companies that would you know, get on Google to start and then
kind of expand into into Google Cloud.
And now they are getting more migrations or hype, you know,
hybrid cloud, multi cloud type of wins to go along with AWS and
(26:52):
Azure guys. The back to the agentic AI
thing, that's what's so excitingabout this infrastructure
management, hybrid cloud and allof those things are going to
become bigger and bigger conversations because there
might be a product and that setsin one of these hyper scalers
that a customer needs access to getting it and then bring in
their environment, working it through, mixing it with a
(27:14):
private cloud, do all these things that's have been overly
complex. They're not going to get any
easier, but they're going to getmore manageable and they are
going to get more attractive andby design driving customers to
these hyper scalers and they're going to get a lot more at bats
for these conversations. So make sure that you're having
(27:35):
them give your customers the conversation pieces around the
Gentek AI, the road map that they're on, and then all stacks
and plays into it. You start with that AI
conversation that Josh talked about, that pulls back into an
infrastructure conversation, that security conversation, ACX
conversation, and EX conversation.
And all of a sudden you got a road map worth of conversations
(27:57):
to have that turn into opportunities and commissionable
dollars. So Josh, this has been great.
I think we've all learned some stuff about where Google's at in
the market, where they're going and any other things that you
want to do to put a bow on this thing.
Yeah, just a couple thoughts. One Fact Check, I fact checked
myself, Matt Garman is the AWSCEO realized this after I
(28:22):
said it. Matt Goran is a partner of ours
out of the East. So Matt, hey, if you're
listening, just thought we'd give you a shout out today.
That's thing. One thing 2 is I would say
listen, do you need to be an expert deeply in all of these?
No, absolutely not. That's why we're here.
That's that's why we're here to help.
But what I would say is go look up, if you go Google the Google
(28:42):
agent to agent protocol, it's a few pages.
It's not a crazy read. I want everybody to understand
that. I just have a tiny bit of
context around what this means so that when we see a little
bitty, you know, little iterations that come off of
these, play with it, understand it.
And if you haven't used Gemini, done some of these searches,
played around with some things that are in there and done some
of the deep research, poke around in there.
(29:03):
Just get familiar, just understand how intuitive it is.
And and you know, we'll, we'll continue to come back on and
talk about new evolutions and the next to the next, next we go
to we'll have a lots of good stuff to share.
Here I'll give a little hit for the sales.
The sales people on the on the on that are listening, sorry,
versus the engineers that are listening.
Engineers do exactly what Josh said.
(29:25):
Go read it, scope it and all of that tells people go get the
doc, hit the summary button on Gemini and get the key points of
it and turn those into talk tracks.
Either way, they'll be impactful.
Trust me, One of us did one of the things, the other one did
the other and they were equally impactful in my opinion.
So Josh, you've been a fantasticguest on your own podcast.
(29:46):
I couldn't thank you enough for being here and allowing me to
pinch it and hosting. So I'll turn it back over to you
to wrap everything up. Awesome, great work.
Love it, appreciate it. Love having to prepare just a
little bit less. This has been nice.
So good stuff, great event. Look forward to the next one and
you know, we'll bring this back to the partners.
And so as you're listening wherever you're coming to us,
(30:09):
just remember Apple, Spotify, these drop every Wednesday.
Make sure that you go follow, get those notifications.
But as always, we appreciate youlistening.
Colby Phillips hosting today, the Google Next recap.
I'm your host, Josh Lopresto, SVP of Sales Engineering at
Telaris, and this is next level Biztech.
Until next time. Next Level Biztech has been a
(30:31):
production of Telaris Studio 19.Please visit telaris.com For
more information.
Welcome to the podcast designed to fuel your success in selling
technology solutions. I'm your host, Josh La Presto,
SVP of Sales Engineering at Polaris, and this is Next Level
Biztech. Everybody, welcome back.
We got a special episode for you.
We have been out there in the market, lots of industry events,
(00:23):
lots of things happening. Really pay attention and paying
attention to what's going on andwhat that's going to mean for us
in the partner community. So today's episode is titled the
Google Next recap. Lots of good stuff happened a
couple weeks ago. I went out to Google Next this
year. You know, Kobe and I, we talked
about this, you know, late last year, we went out to AWS
(00:44):
Reinvent and so thought it'd be awesome to have Kobe Phillips
back on VP of the cloud practiceto flip the tables, interview me
and we talk about Google next. So Kobe, welcome back on is is
not only the only person to everhost, but the only person the
second time to ever host. So good to have you back man.
Well, I'm certainly honored. I appreciate you having the
(01:05):
confidence in me to take the reins for an episode or two and
happy to be here. Awesome, man.
I'm going to turn it over to you.
Let's talk through. I know you've got some good
thoughts here and excited to tell the partners about what we
saw and what it means. Yeah.
I mean for those that couldn't attend, Josh, kind of just give
the landscape of what Google next is.
I know we we had the previous podcast that talked about AWS
(01:27):
Reinvent. Maybe you know, any key
differences between the two conferences or any highlights
that that really stuck out to? Yeah.
So Google Next is, you know, essentially think Google clouds
annual conference. So, you know, we we talked about
reinvent reinvents going on for years and years and years that
happens out in Las Vegas and nowGoogle Next has been happening
(01:49):
for the last few years. So Google Next, on the surface,
it might feel like this is a wayfor them to just show all their
products. You might want to be dismissive
of it. And it's just a big marketing
thing. And the reality is it couldn't
be more far from that. And so if you think about just
for a second flashback to what'swhat stands out to me, as I
(02:09):
remember, you know, 5 to 10 years ago when we were looking
at Google Cloud and people were going, is this, are they really
going to invest in this or they just going to going to give up?
And now seeing this thing, it's a $50 billion run rate between
all the products that are there between where Google Cloud has
kind of figured this out between, you know, Thomas
running that whole organization.And so we'll, we'll dive into a
(02:30):
lot of this, but just seeing that this is real, this, this
is, it was very well orchestrated.
It was 30,000 of myself and my closest friends and a lot of
good sessions, a lot of good keynotes and seeing what's to
come. And Google is really here to
play and and and they are not. They are not a joke.
(02:51):
Well, and I appreciate that background because if I'm
sitting as an advisor and I'm, I'm looking at it just from the
lens of our community, I'm like,what's the point of going to
sound like Google's not directlyin, but they're influencing a
ton, right? And they have a ton, a lot of
partnerships with suppliers thatare in their ecosystem that are
going to be impacted by some of these technology advancements
and updates and things like that.
(03:12):
It's, it is a mix of end users, their partners that are, you
know, deemed suppliers in our, in our neck of the woods.
But what are some things that really stuck out to you as far
as some of those like innovativethings that we come to expect
from Google? Yeah.
I, I think the other, the other way to probably I should frame
this up before I start is when we go out and see these things,
(03:33):
when we go to Dreamforce for Salesforce or AWS for Reinvent
or now Google Next, what tends to happen is the enterprise
customers start to adopt these things and these trends and
these products 1st. And so often what you'll see is,
you know, the XYZ session that Igo to, they might have, you
know, a Google engineer or Google head of product mixed
(03:56):
with maybe somebody from the customer side, obviously to do
the testimonial and to talk about how they've already built
it. It already works.
And so we tend to then see thosethings over the next, you know,
12 to 18 months, transcend into organizations of all shapes and
sizes. And so, you know, we had a lot
of, you know, finally the spot where we have overlap, you know,
seeing suppliers there, dial padand Equinex and five nine and,
(04:18):
and wrap scale and all these. So seeing that, that connection
into our ecosystem and then finally seeing, you know,
picking my, my sessions, you know, 30,000 was a lot more
manageable than it was at AWS, where it was 100,000 people
spread across 8 or 9 different hotels.
That was a lot. This was this felt manageable.
It felt like you could get to all the things that you wanted
to get to set your schedule accordingly, make your way
(04:40):
through the Expo hall. But but no surprise, AI at the
forefront. And so almost every session that
I was in either some, some product around AI, agentic AI
and how people are already usingit.
Some of the big standards comingout that we'll talk to that,
that we, you know, we were just talking last week at our big
Salt Lake AI summit about the agent to agent protocol and kind
(05:02):
of what that new standard is andhow I think you're going to see
that through everything. Some security things that we can
talk about that that we've seen you know a lot generally in that
infrastructure and security sideand and you know really the the
customer experience side model building and things like that
were some of the highlights. We talked about kind of being
overwhelming for, you know, justhow much it is at the AWS.
(05:24):
And I would argue this is probably, if you're an end user
like your customer, it can be equally overwhelming.
The analogy that I that kind of pops into my head is when you go
to a home show, right? And you're like, oh, I want my
landscaping to look like that, right?
I want this or that, but I don'thave the skill set to do it.
And this is where the advisor advantage comes in with the
suppliers that Josh had mentioned and others that that
(05:45):
were also in attendance. They're the ones that can go and
make all of these things happen for customers.
And yes, it starts at the enterprise level, but you get a
lot of that mid market smaller enterprise that doesn't have the
skill set and resources on staff, but they see all of these
advanced. So Josh, you talk about AI and
some of the stuff that really pops out.
(06:06):
What in particular that stood out to you?
That was one of those like, wow,that's really cool and
impactful. Maybe just one or two of those
things that you saw there. Yeah, I think probably the most
interesting or most maybe surprising moment was to see how
some of these, you know, going through some of the migration
talks and how some of these big Google migrations have already
(06:27):
happened. Some of these AI implementations
have already happened and peopleare already using them.
Where you think, OK, you know, we're, we've only been at this
AI thing, you know, the last oneto two years.
How how mature can how mature can products really already be?
And you're constantly surprised,you know, we talked about this
again last week, but you're you're surprised to see how far
(06:51):
these things really are. So I'll talk about maybe the
first one in seeing where a big OEM and the Google engineer that
leads out the agent to agent protocol.
And so it's going down this agentic AI theme.
And that was the theme that thatclearly was everywhere but
seeing first if I, the customer have maybe Salesforce as my CRM
(07:14):
and I'm going down the road of Google Cloud and maybe I wanna
build my own models. I wanna train my own models.
I wanna interact with other models and things like that.
Well, I need to make it. If I'm Google, I need to make it
easy to embrace whatever a customer already has, whatever
software and SAS and infrastructure and tooling that
(07:35):
a customer already has. Maybe they have Atlassian, maybe
they're doing Jira for ticketingand things like that.
Well, if Google's smart, they, they figure out a way to interop
with everybody. And that's what this agent to
agent protocol standard does is it says, OK, you're going to use
Salesforce, you're going to use Google Vertex for Google Cloud.
And then maybe you're going to use Atlassian and Jira for some
(07:56):
of your ticketing and management.
Well, you're gonna kick off a request.
Maybe that comes in. Maybe everybody's used to using
your software at the customer side, Jira for ticket
management. Or maybe that ticket management
needs to kick off an agent, an AI agent in sales force to do
something and to respond to a customer.
Maybe it needs to tick off something in Vertex AI because
(08:16):
you've built out a small custom model around, you know, just
that makes most the most sense for your business.
And so I think the idea when AI first came out, it was, Oh my
gosh, how are I can have this model over here and this AI
tool, this AI tool. But now we have a standard to
say, OK, here's what state each of these agents will be in.
Here's the task each of them wasassigned to do.
(08:38):
Here's the security authorization that each of them
has to do. And here's how long each of
those are going to go on, right?So that now Atlassian and, and
if that's the entry point where people come in and, and start to
kick off some of these agents, they now that that Atlassian
kind of brain, think of it as the brain can manage all these
other agent cards. And that was really seeing that
(09:01):
in action, seeing something comein, kick off a ticket in
Salesforce, kick off something in Google and have it all work
together to then automatically, you know, agentically we're
going to overuse that. But seeing that.
It's, it's not going to get overused because it, I mean,
it's that impactful, right? So see it.
See it happen and then feedback,a response to a customer via
(09:23):
chat. See it all happen real time.
And, and because of that protocol and things like that.
So that protocol was that's a big one.
I mean, they've already got a hundred, a hundred OEMs
interopped on that to be able tosay this is the language we're
going to agree upon. And just, you know, let's take a
quick pause for for everybody listening a gentic AI.
If you haven't heard of it by this time of the of this
(09:44):
recording, you will a lot trust us.
That will be a main phrase goingforward.
What Josh just laid out was essentially a good example of
what that is. It's multiple applications
working together in an agent to agent like status and then
driving an outcome, right? Where usually you'd have to
(10:05):
build in code and, and do all these things in between.
It's, it's now starting to work together driven by the AI
protocols that are set in place and the parameters.
So this is this is the next evolution where you go, if you
look at the way AI has been, it's been a really good
executive assistant, but it's been that, that that employee
that you had to go tell what to do every single step of the way,
(10:25):
or at least give them a pretty good amount of guidance.
This is now starting to take andbe proactive.
And a lot of these a lot of these examples where it's going
to go and do it for you based onhow you set it up.
So imagine giving, you know, somebody a little bit of an idea
of like, hey, go clean and organize that room and it'll go
and do it for you versus go and mop the room or sweep it, mop
(10:49):
it, put this here, organize out there, store these here, do
this, that those are the differences.
So like it'll go and figure it out on its own now a little bit
based on all of all of the directions you give it, but
you're not having to give it every single prompt and
direction along the way. And that's just one of the one
of the, the many different things that agentic AI is going
(11:10):
to bring to the table. It, it's going to, you know,
scale way past that example. But that is not a surprise to me
that that was at the forefront of a lot of the conversation
that agentic AI will be the digital transformation of, you
know, the coming months and, andpotentially further, in my
opinion, and as advisors, you know, hitting on that.
(11:32):
So Josh, you hit on some really good examples of like how big of
a conversation this was at Google.
You know, everything's going to pop in and go, you know what
else you know, what about the security angle?
Like how does that work and how does that play?
And what what did Google Next offer when it comes to like,
security and infrastructure conversations?
Yeah, so from a security side, I'm forgetting the title of the
(11:52):
session, but I got to sit with aguy that's kind of essentially
over threats and sock for Googlefor the last 15 plus years,
right. So this guy's been there for
quite a long time, super innovative, but also has had to
manage this at massive, massive scale.
And there was a, there was a common phrase that I like that I
would love to see us start usingis I think there's a stigma
(12:14):
sometimes with AI of just because AI is in the
conversation means it has to replace something.
And that I think that's just wrong.
And so they used some terminology that I love called
human in the loop. So there's always a human in the
loop because we are nowhere quite yet near a spot where we
can say we have implicit trust that this AI agent or this AI
(12:38):
software that I put in place is going to do everything that I
needed to do. Even in those previous
conversations where agentic AI, right?
Each of those things says if, ifyou struggle or if you get to a
certain point, figure out quickly if we need to have a
human in the loop to invoke a human agent and take that to a
live conversation, right? We don't want people to struggle
and have a bad taste in their mouth from an AI perspective, if
(12:59):
we can avoid it. And so from a security
perspective, it, it was where are we on full manual, semi
autonomous and then fully autonomous.
And we are not in that fully autonomous bucket yet.
We're somewhere in this kind of old school manual meets semi
autonomous way. And so the biggest thing that,
that I see that they showed is 1, you know, not having to write
(13:23):
run books anymore from scratch, not having to write rule sets,
custom rule sets in your SoC, inyour SIM, in, in those in your
MDR platform anymore, right? Really being able to to to lean
on the agent to write those. And then also just from an
advanced threat hunting perspective, if you think about
the positive spin of what AI cando from a threat hunting
(13:44):
perspective, we've always in, insecurity, it seems like we've
always been in this spot where we're always trying to catch up
to the thing that just came out right.
And, and, and, and find a way to, you know, get these zero
days, OK, We need 24 hours, 12 hours to, to put something out
that mitigates this threat or this gap or this patch problem
or, or whatever it might be. So if you, you think about
(14:06):
advanced threat hunting, the, the, the, the vision on it was
being able to have agents that are out doing advanced threat
hunting crawling on the dark weband bringing those back and
creating rule sets before you even have to think about
creating a custom rule on something that you didn't even
know existed yet. And so that that was a big thing
from an advanced threat hunting perspective.
(14:26):
So more proactive management again versus reactive response
on the non security side. And what I'm kind of hearing is
everything's built with securityframework in mind, right from
the from every lens of technology nowadays.
Google's obviously no differencehere.
What you know, what in particular in the infrastructure
piece did you hear and see from from the event that maybe stuck
(14:50):
out to you as well? You know, a couple things.
There were some similar trends that we saw like we saw at
Reinvent, you know, coming out with the new, the new chips, the
new TPU chips that are better atinference, you know, version 6
or, or whatever it was, right, can handle more, more teraflops,
more inference models, more parallel processing, all these
(15:12):
things that models need to train.
And so there's clearly a, a little bit of a theme here of,
OK, if you're going to come intoour ecosystem, we have to give
you good hardware on our underlying equipment if we want
to leverage our infrastructure to train on our models, right?
So the other piece of that you know, in in addition to
obviously kind of Gemini being that forefront and we'll come
(15:35):
back to that is really Vertex AIseems to be kind of this core
platform that is the standard ofall model building and all
things that go in and out of model building both from a
security perspective. From where in the infrastructure
I need to tie this into, is thata database?
(15:55):
Is that a big query thing? Is that a fire Store thing, you
know, a no sequel database? And so seeing kind of interop
between all of those and how Vertex seems to be at the
epicenter of that or maybe it's just, you know, storing it
somewhere else besides, you know, Fire Store, Firebase,
those kind of things, infrastructure and database and
(16:16):
security all were all three werekind of always mixed into the
Gemini and and Vertex conversation.
Yeah. And we'll, I'll come back to the
Gemini because I do have a couple questions on on Gemini in
particular. But again, just to kind of
hammer that home, it's what I'm loving about, you know, when we
went to reinvent what I'm seeingfrom Google and how that'll
trickle in our ecosystem throughour supplier partners and their
(16:39):
ability to deliver on behalf of their customers, right.
Is the the welcome. We kind of, we can work with
that mentality. Oh, you have this.
Yeah, we can work with that. You have that, we can work with
that. And that hasn't always been the
case in technology. There's been a lot of like, oh,
we don't work with that one and we don't work with that one.
And that's becoming less and less the case, especially in
(16:59):
these hyperscalers. And they're allowing for that.
And then just in the competitivelandscape, what it, what ends up
happening after the fact, right,is the ability to then go from
hyperscale to private cloud and then see what they model in
after it to stay competitive as well.
So it's a really cool like kicking off point and everyone's
really excited about it. And so that is that's what I'm
(17:23):
getting really, really excited about.
And you know what Google's really pumping kind of going
back to the Gemini piece of it is, you know, where it's at in
the landscape as far as their, you know, AI assistant and
things like that in comparison. And that's their go to market,
you know, product against say, Microsoft Copilot or even
Bedrock from AWS. Do they do they pump any new
(17:46):
features coming out of that? Yeah, I think kind of this
constant compete of seems like whatever we see in ChatGPT,
whatever we see in AWS Bedrock and we don't see Bedrock as much
in this conversation. But when we see what the latest
and greatest this week in the amount of parameters or the
model or the reasoning versus, you know, standard model that we
(18:08):
have in Copilot and Gemini and and then, you know, over here,
open AI seems like a constant every other week.
Oh, OK, this one added deep research now.
So now besides just getting quick answers, Google and Gemini
added deep research, which meansI can go pull from a ton of
sources, take a little more time, but pull from a ton of
(18:30):
sources. So if you haven't used the same
way, maybe you've used ChatGPT and open AI just for your
day-to-day kind of questions andanswers, try out Google Gemini
for and hit the deep research button and watch what it's able
to do to help you pull together a really comprehensive analysis
around a complicated question. And so seeing that really
(18:51):
starting to expand multimodal. So being able to do voice and
video and, and you know, image and things like that.
They're catching up a little biton on that, that piece of it as
well. And you know, you saw things
like if anybody hasn't played with this was really cool.
The notebook LLM or you give it a little bit of information
about yourself and then it goes and creates this is powered by
(19:12):
Gemini. It goes and creates a podcast
essentially like imagine, imagine I fed it a bunch of
information about you or a bunchof information about me.
It now then goes and creates an audio file that's a podcast, you
know, where somebody's interviewing information or or
interviewing things about one ofus talking about us.
So it's just wild contextually how it's getting it more and
(19:33):
more and more accurate. What's really interesting is I
see a lot of the stuff that's out now, this is like, that'd be
a really cool idea, but there's no reason to go and build it at
all. But now it's so easy to build
and put out there that you get that type of thing.
You're like, hey, wouldn't it becool if it seemed like somebody
was talking about us on a podcast and they're like, yeah,
well, who would spend time to godo that?
(19:53):
What's the market for it other than just being, like a cool
idea? Yeah, well, there is a market
for it. It is a cool idea.
And now they're delivering it and we see more of that.
You never know what's gonna add value to to somebody's day.
Well, and, and the thing that I would call out is I've, I've
always been a critic that I didn't think in years past, like
I, I felt that Google was a great, great, great
(20:14):
infrastructure company behind the scenes, but never was great
at the speed that everybody elsewas of productizing everything,
right? They productized Gmail, that's
great. And they productize calendaring.
That's great. But there were all these other
great things that they had. They just never quite figured
out how to deliver them at scaleand productize them at scale.
(20:37):
While Microsoft has done this, AWS has done this, others,
others have done this. And I, I think that I think it's
different now. I think it's dramatically
different now, especially infrastructure side.
I feel like they're getting moredisciplined on product, right?
Like to your point, they have the highest abandoned rate.
You would see something come outand then they're like, oh,
that's really cool. And they're like, where to go?
(20:58):
They're like they, they, they cut it where you look at like
Microsoft and now Azure locals about the 3rd or 4th iteration
of the same thing that they might, they might tweak, change,
maybe even rename, but they stick with their products and
deliver it to market until essentially it, it starts to
work out in their favor. AWS seems to be more in the
middle of that. They'll cut some product, but
(21:19):
they'll stick with it. So it is, it is interesting to
see the evolution of Google, Oneof the things that Google has
always been known for. And I'd love to get your opinion
on this, where they're at with their partnerships, because this
is where like as an advisor, this is an important question,
right? Like when we say Google and
their partners, that means the partnerships to the suppliers,
(21:39):
you know, that we rely on day in, day out to deliver services
to our client bases and how we go to market.
So where are you seeing that go in, you know, out of coming out
of the show? Is it as relevant to Google as
it has been in the past where that was one of the premier
things that everybody always talked about?
Yeah, love, love this question because this is this is just
(22:03):
exciting to see. So if if I flashback to years
past, as we've watched these hyperscalers build up, you know,
their goal in the beginning is to just build great products and
they'll figure out a way to get them to market.
And so early years of AWS at first was not they didn't know
or understand what a partner community was or is or what that
(22:26):
means. And now and are, you know, Matt,
Matt Koran might be butchered that name, but Matt Koran, he
sorely like he he dramatically understands the partner
ecosystem and is fully, fully embraced into the partner
community. So awesome to see that standard
now in the last year or two fromAWS, Google under Thomas Kurian
(22:48):
has really, really leaned in andgo, Oh my gosh, this whole
partner community, this is, thisis a really big and important
thing. And so seeing them embrace the
partner ecosystem as a whole, and I know that means a lot of
different things. ISVSSIS here we are in the TSD
side, right? We'll get recognized as part of
that in proximity to the vendorsthat we talked about earlier.
(23:10):
And so I love where they are fully, fully embraced into this
partner community. And you see that, OK, saying it
is one thing, but seeing it through the different funding
programs that are available thatare accessible to build these
out and go reach and get fundingpotentially to build Pocs for
(23:30):
our customers for our opportunities.
Excited to see that. We saw that early on in AWS with
MAP funding. Microsoft and Azure came in with
their version of it. And now to see Google have it,
that really tells us that, hey, Google is here to stay into the
partner community and and exciting to see how they will
continue to embrace that and continue to put their money
(23:52):
where their mouth is, both of trying to get these away from,
you know, other hyper scalers and see them all compete against
each other. But that got to follow the money
trail. And when the money trail's
there, that tells me they're in.You know, I always refuse to
pick a favorite because they allbenefit us, right?
They all do stuff a little bit different, but what we're seeing
(24:12):
in particular out of you just mentioned AWS as well and Google
is really leaning in to, to the better funding programs that
you've mentioned and how that trickles in.
And then that's being offered through, you know, in, in
different scopes of works and, and opportunities and things
like that that our advisors are getting into.
There's more to come on this guys.
We won't get too, too out of ourskis, but there is a lot of
(24:35):
interest in the modern distribution, you know,
mechanism that you guys are driving is for these for these
hyperscalers as well. And you're going to see a lot
more interest in collaboration through the suppliers and
everything that we already, sorry, already have access.
I don't know where I trailed offon that one.
Granted, it is Monday, guys. Yeah, in case you record this a
(25:00):
little bit of a struggle bus forboth of us.
But Josh, if you had one major, you know, thing from the
breakout sessions and everythingelse you saw, you know, at the
next conference, what would thatbe and why?
And like, what do you think would be the most impactful for
advisors to pay attention to? 4 words don't sleep on Google.
(25:21):
Maybe you felt like you could dothis in years past.
Don't sleep on it. And you know, look, I, I
recognize that some of the things that we're talking about
are leading edge, but some of itis already productized and
usable. And so I think the speed at
which even more becomes productized and usable
accelerates over the next 6 to 12 months.
(25:43):
I think the run rate we, we haveto be just fully aware that the
run rate they made it to 50 billion.
That's an exciting place to be. There is no slowing down on that
gas pedal. So we'll continue to stay, we
know with these things like the agent to agent protocols, what
new adoption of Gemini has, you know, what POC options are out
there and things like that. But we'll continue to bring
(26:05):
those things to you and, and payattention to how that how that
works in our ecosystem. But when your customer says they
have Google and they have infrastructure or they're
considering Google infrastructure for XYZ reason,
don't shy away from that. We absolutely can help you with
that. And that wasn't the answer in
years past. So it's an exciting time to be
here to say, we really don't care what your customers are
(26:29):
already invested in. We can absolutely help.
And Google is now a deep part ofthat conversation.
Yeah. And if you start to break down
where they're winning, it's it used to be like start up
companies that would you know, get on Google to start and then
kind of expand into into Google Cloud.
And now they are getting more migrations or hype, you know,
hybrid cloud, multi cloud type of wins to go along with AWS and
(26:52):
Azure guys. The back to the agentic AI
thing, that's what's so excitingabout this infrastructure
management, hybrid cloud and allof those things are going to
become bigger and bigger conversations because there
might be a product and that setsin one of these hyper scalers
that a customer needs access to getting it and then bring in
their environment, working it through, mixing it with a
(27:14):
private cloud, do all these things that's have been overly
complex. They're not going to get any
easier, but they're going to getmore manageable and they are
going to get more attractive andby design driving customers to
these hyper scalers and they're going to get a lot more at bats
for these conversations. So make sure that you're having
(27:35):
them give your customers the conversation pieces around the
Gentek AI, the road map that they're on, and then all stacks
and plays into it. You start with that AI
conversation that Josh talked about, that pulls back into an
infrastructure conversation, that security conversation, ACX
conversation, and EX conversation.
And all of a sudden you got a road map worth of conversations
(27:57):
to have that turn into opportunities and commissionable
dollars. So Josh, this has been great.
I think we've all learned some stuff about where Google's at in
the market, where they're going and any other things that you
want to do to put a bow on this thing.
Yeah, just a couple thoughts. One Fact Check, I fact checked
myself, Matt Garman is the AWSCEO realized this after I
(28:22):
said it. Matt Goran is a partner of ours
out of the East. So Matt, hey, if you're
listening, just thought we'd give you a shout out today.
That's thing. One thing 2 is I would say
listen, do you need to be an expert deeply in all of these?
No, absolutely not. That's why we're here.
That's that's why we're here to help.
But what I would say is go look up, if you go Google the Google
(28:42):
agent to agent protocol, it's a few pages.
It's not a crazy read. I want everybody to understand
that. I just have a tiny bit of
context around what this means so that when we see a little
bitty, you know, little iterations that come off of
these, play with it, understand it.
And if you haven't used Gemini, done some of these searches,
played around with some things that are in there and done some
of the deep research, poke around in there.
(29:03):
Just get familiar, just understand how intuitive it is.
And and you know, we'll, we'll continue to come back on and
talk about new evolutions and the next to the next, next we go
to we'll have a lots of good stuff to share.
Here I'll give a little hit for the sales.
The sales people on the on the on that are listening, sorry,
versus the engineers that are listening.
Engineers do exactly what Josh said.
(29:25):
Go read it, scope it and all of that tells people go get the
doc, hit the summary button on Gemini and get the key points of
it and turn those into talk tracks.
Either way, they'll be impactful.
Trust me, One of us did one of the things, the other one did
the other and they were equally impactful in my opinion.
So Josh, you've been a fantasticguest on your own podcast.
(29:46):
I couldn't thank you enough for being here and allowing me to
pinch it and hosting. So I'll turn it back over to you
to wrap everything up. Awesome, great work.
Love it, appreciate it. Love having to prepare just a
little bit less. This has been nice.
So good stuff, great event. Look forward to the next one and
you know, we'll bring this back to the partners.
And so as you're listening wherever you're coming to us,
(30:09):
just remember Apple, Spotify, these drop every Wednesday.
Make sure that you go follow, get those notifications.
But as always, we appreciate youlistening.
Colby Phillips hosting today, the Google Next recap.
I'm your host, Josh Lopresto, SVP of Sales Engineering at
Telaris, and this is next level Biztech.
Until next time. Next Level Biztech has been a
(30:31):
production of Telaris Studio 19.Please visit telaris.com For
more information.
Popular Podcasts
On Purpose with Jay Shetty
I’m Jay Shetty host of On Purpose the worlds #1 Mental Health podcast and I’m so grateful you found us. I started this podcast 5 years ago to invite you into conversations and workshops that are designed to help make you happier, healthier and more healed. I believe that when you (yes you) feel seen, heard and understood you’re able to deal with relationship struggles, work challenges and life’s ups and downs with more ease and grace. I interview experts, celebrities, thought leaders and athletes so that we can grow our mindset, build better habits and uncover a side of them we’ve never seen before. New episodes every Monday and Friday. Your support means the world to me and I don’t take it for granted — click the follow button and leave a review to help us spread the love with On Purpose. I can’t wait for you to listen to your first or 500th episode!
Stuff You Should Know
If you've ever wanted to know about champagne, satanism, the Stonewall Uprising, chaos theory, LSD, El Nino, true crime and Rosa Parks, then look no further. Josh and Chuck have you covered.
The Joe Rogan Experience
The official podcast of comedian Joe Rogan.