October 7, 2025 • 34 mins
Tim and Tom are back with another special DEX Show Live!—recorded last week at Nexthink Experience London at the Intercontinental by the iconic O2. Day 1 of the world's biggest DEX event saw over a thousand IT pros gather for two days of innovation, insight, and energy. In this lively episode, the hosts are joined by Guillaume Charles, Senior Director of Product Management (Diagnostics) at Nexthink, and Gabriela Moraes from Electrolux to explore the state of digital and AI adoption in the enterprise. Plus, the audience gets involved in a hilarious round of AI Confessions—revealing just how far they’ve already let AI into their work (and personal) lives.
Book your tickets for Nexthink Experience Boston here: https://nexthink.com/experience
Get the latest edition of the Gartner Magic Quadrant here (https://nexthink.com/gartner-magic-quadrant-dex) Â
Learn more about AI Drive here and Nexthink Adopt here
Book your tickets for Nexthink Experience Boston here: https://nexthink.com/experience
Get the latest edition of the Gartner Magic Quadrant here (https://nexthink.com/gartner-magic-quadrant-dex) Â
Learn more about AI Drive here and Nexthink Adopt here
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:01):
Welcome it, change Makers to the Deck Show with Tim
Flower and Tom McGraw. Let's get into it.
Speaker 2 (00:09):
Hello everybody, Welcome to the Deck Show Live.
Speaker 3 (00:12):
Nice to see you all, and welcome, of course, to
experience London. We're here by the Thames in the incredible
Intercontinental Hotel next to the iconic oh To Arena.
Speaker 2 (00:26):
Tim, how you doing.
Speaker 4 (00:28):
I'm doing a great time. It's so awesome to be
in London. We don't have the history that London has
over the States.
Speaker 2 (00:34):
It's always so cool to be over here. Can I
just ask who was here last year?
Speaker 3 (00:38):
Who was here to experienced London twenty twenty four.
Speaker 2 (00:42):
Let's see a show of hands, please? Were you calling
for him? Were you very cold? Do you remember last year?
Speaker 3 (00:47):
We were at the Tobacco Doc Last year it was
a beautiful venue, it was straight out of peaky blinders,
but it was freezing cold. So we hope nobody is
viscerally cold today and it's just enjoying the day and
excited about it. We have a couple of absolutely wonderful
guests to welcome to the stage. Momentarily before we do so, Tim,
(01:08):
since this is the year of AI, right something like that,
we thought we would play a little game with for
the audience. Okay, is everybody up for a game? We
need your participation. Please give us a clap if you're
up for it. Okay, Okay, we're gonna this is an
escalating ladder of AI confessions. Okay, we're playing a game
(01:29):
of AI confessions. So we're gonna start with a professional ladder.
All right, So we want everybody to be quite honest,
and I'm going to go first. We want to show
of hands to admit if this applies to you. Does
everyone understand?
Speaker 2 (01:41):
Okay?
Speaker 3 (01:42):
Confession number one, simple one, just to get everybody's arm
working right? Who here has used AI to write an
email for them? An entire email? Not everybody?
Speaker 2 (01:54):
Okay, there more than I would have expected, a lot
of self respect. Okay, Okay, Tim, do you do you wanna?
Do you want to ask one out? Okay?
Speaker 4 (02:02):
You got?
Speaker 2 (02:02):
You got? You have an XT kit?
Speaker 4 (02:03):
So I we're all professionals. Everybody's on LinkedIn? Who's used
AI to make themselves sound smarter?
Speaker 2 (02:10):
On LinkedIn? Actually I don't need to die? Who is usday?
I to write an entire LinkedIn post soup to nuts?
As they say, the.
Speaker 3 (02:21):
Entire thing we got we got one on this person
in the whole show live audience.
Speaker 2 (02:26):
Okay, okay, that's good. Here's here's what I come up with.
Speaker 3 (02:30):
Right, I have to explain this one, okay, who has
used AI professionally to soften the blow?
Speaker 2 (02:36):
You know, you've got to say, ah, look the hand
people know exactly what I mean.
Speaker 3 (02:40):
Right, You've got to say something's a little difficult to say,
and you're like, how.
Speaker 2 (02:43):
Do I put this? You know, one way or the other,
and it softens the blow.
Speaker 3 (02:47):
I totally have usday, I just softened the blow, okay,
tim one food from you?
Speaker 4 (02:52):
Who's used AI to actually author an entire blog? I
need to write something. I have no idea what the
fled a.
Speaker 2 (03:00):
I writed for me.
Speaker 4 (03:01):
We will get fired if they admit it, so we
won't tell anybody if I break the writer's block, but
I don't use it to write the whole block on
the entire Nobody is admitting to this, and quite quite right,
quite right?
Speaker 2 (03:12):
Okay? Who is ever? If you imagine, right, you're in
a call, you're in a meeting, yeah.
Speaker 3 (03:18):
And you suddenly sense that you're gonna it's a zoom call,
that's right, And you suddenly sense that you're going to
be asked a question. You can tell because the questions
going around and you know you don't know the answer.
Who's pulled up AI to quickly establish the answer in
advance of being asked a question? And let me just admit,
let me just be the first to admit. Okay, we've
(03:39):
got we've got a show of hands beyond down front.
I guess in fact, I'm very honest and very AI
vigorous AI users.
Speaker 2 (03:46):
We like that. Okay, amazing?
Speaker 3 (03:49):
Last one is him, last one from you of the audience,
Come and everybody be honest, be honest to it.
Speaker 4 (03:54):
So who here has used AI to make themselves look good?
Speaker 5 (03:59):
And hope no one w.
Speaker 2 (04:01):
Let's go, come on. We don't even believe here, We
don't even believe have crossed arms out there. I have
another don't even even know denying it. I have a follower.
Speaker 4 (04:09):
When you receive something that looks like it was AI generated,
how do you feel about the person who's said who.
Speaker 2 (04:16):
Do you think? Do you think a little bit less?
Speaker 4 (04:18):
Do you think a little bit less of that person?
Or do you think more of them for being cret
You guys want to be other. I know setup inside
so how many people think less of the person who
sent the AI generated and how many people.
Speaker 2 (04:31):
Think more of them for being creative and efficient.
Speaker 3 (04:33):
My left hand goes up, and you know, okay, well,
thank you so much, everybody. You're you're you're somewhat dishonest, audience,
I suspect, but you know, we appreciate it. And we're
going to welcome now our first guest, and we have
a we have a bit of.
Speaker 2 (04:49):
A theme today which is digital adoption.
Speaker 3 (04:51):
You're gonna notice that across both both of our wonderful guests,
and could you will put your hands together to welcome
next thinker and product that Senior director of Product Management
Diagnostic Charles, how are you doing them?
Speaker 2 (05:06):
Nice to see the home welcome? Hey man, how you doing?
Didn't see you? Yeah, I was very honest by the
way he was. The hand was going up like almost
every single time. I don't know, but.
Speaker 3 (05:19):
Maybe introduced yourself in your relevance to this theme and topic.
Speaker 2 (05:23):
Perstely.
Speaker 5 (05:24):
Yeah, sure, So.
Speaker 6 (05:25):
I'm working in a product tiam at Nexting and when
we met, when I was on the show two years ago,
I was really focused more on the deck side of things,
so everything around trouble shooting diagnostics, alert simplify, reducing tickets,
and a lot of things happened since then. So Next
Thing did the first acquisition of a company called Apron.
I was naturally involved in this because I had worked
(05:47):
on application experience from day one, so I was involved
in everything around how to better manage applications and the
experience of employees using business applications. Plus the technology was
very close because it's really these brother extensions which I
used to do both digital adoption but also application experience.
So when the acquisition happened, I was involved in the
due diligions and then basically we spent a fair amount
(06:10):
of time integrating the Upron product into the next Thing stack,
into next in infinity and so yeah, now I'm ready
one hundred percent focused on every single old application, So
huge focus on Nexting adopt, digital adoption, but also still
application experience because they really go together.
Speaker 3 (06:26):
And if people don't know what makes the jobts of
specially technology.
Speaker 6 (06:29):
Again, well it's the only digital adoption platform that's built
on a DEX platform.
Speaker 5 (06:37):
What does that mean?
Speaker 6 (06:38):
It means that we Next Thing can really guide people
inside applications with this you know, real time in application
guidance to make empraise more productive when the constance they
need to perform a task, a complex business task in
an application imagine a HRM, a CRM, or even your
custom homegrown applications. But it can also solve technical proms
(06:59):
in real time time. So if you're an employee and
you're trying to do something which could be as simple
as requesting vacations or as complex as conducting doing a
purchase order, next thing, adopt can guide you through this process.
Speaker 5 (07:14):
But if at some point.
Speaker 6 (07:15):
You have a permission issue, you know, technical application issue,
plug in to install or whatever, then we're the only
platform which will enable you to solve this and to
fix it in real time while staying in the floor
of work in the application.
Speaker 2 (07:32):
And we saw the crowd.
Speaker 3 (07:34):
Digital adoption is a preoccupation for many, not for all.
Why what without a doubt from a year or two
years ago, it's becoming more and more to the forefront
of people's preoccupations.
Speaker 2 (07:45):
What are the trends which are driving that pre eminence.
Speaker 6 (07:48):
Well, first, I think the market and the industry are
getting more mature, so people, you know, start to understand
that even if your technology stack works perfectly, even if
you already have nexting, and you know you have workpless expels,
have applica experients since work well, technically, if people don't
know how to use the applications, they are not gonna
be productive, They're not gonna have a good employee experience.
(08:09):
So that I think is just you know, time pass,
people get more mature, think about those things more and more.
But then also you have the global economy, so you know,
rationalizing courts, making sure that people use applications to their
full potential before thinking about buying a new application. So
you know, we deal with very big organizations and many
of them that have four or five if not more
(08:31):
BI tools and same for you know, AI tools, same
for sometimes finance tools, and basically those companies start to
realize why, you know, we need to stop buying more
and more and focus on what we have first. So
next thing could already help reduce fans the number of licenses,
but now we can also make sure that the employees
(08:51):
will use the application to their maximum, to their full
potential before buying a new application. And this you can
do easily with adopts because you and really guide people
through the applications through the complex workflows. To make sure
that they use the features that they might not be
aware that exist on those applications. And of course the
ast trend, as you can imagine and everyone has guests,
(09:13):
is they are you all organizations and now have a
huge mandates to adopt a I and you know if
they don't, they're gonna act behind, They're gonna be eaten
by competitors or by the next genea in native startup.
And again, digital adoption can help a lot in this
and you will see this in the keynote and throughout
this dis event.
Speaker 2 (09:33):
They made thanks so again.
Speaker 4 (09:36):
Next week is all about removing barriers to productivity. Big
aspirations can have big hurdles to overcome and doing that.
In my years in it, I've seen countless numbers of
transformations and software deliveries where enablement and training was an
afterthought and that can create all kinds of chaos and headaches.
(09:57):
What do you see as some of the biggest barriers
it's a successful adoption.
Speaker 6 (10:02):
Yeah, an obvious one is thinking too much about technology
and not enough about people. For sure, we all know
that you change management and adoption both technology but also
people topics and training is something that's very very difficult
to do. I think even if training sometimes is not
an afterthought, then you think about it carefully. If it's
(10:25):
done the kind of the standout, the old school way,
it's not so efficient.
Speaker 5 (10:29):
I think we've all experienced this.
Speaker 6 (10:31):
I've been in a training room or in a remote
session for hours, if not days, to learn about something new,
a new process and new application. And then you might
need to apply this a few day laters, sometimes maybe
a few months later.
Speaker 5 (10:44):
What do you remember of it?
Speaker 6 (10:47):
Well, there asteries which show that I think people forget
something like eighty percent of a the learning a training
session in the next couple of days. And it's just human.
You cannot do much about this. People will forget and
then they will have to do that job. They will
don't they will not know how to do it. They
will look for information. Maybe you know all your training
has been documented, maybe you have an lems system somewhere,
(11:10):
but people will not necessarily find it. They don't know
how it's called, they don't know where to find it,
where to find the righting for And even if they do,
it means they're interrupted.
Speaker 5 (11:20):
They were in the floor, in the floor of work.
Speaker 6 (11:22):
In the floor in the like, very focused and they
have to break their floor, they have to go and
find some information somewhere else and come back. It's a
huge productivity loss, and that's that's a huge barrier. And
with digital adoption platforms, you can really bring the information
that people need at the right time, in the right context,
to the right person, in the right application, in the
(11:44):
floor of work.
Speaker 2 (11:45):
What always strikes me is like, where do you learn something?
The best is when you're doing it right.
Speaker 3 (11:50):
Yes, that's when you learn, Like, it's not when someone
tells you how to do it before you have to
do it.
Speaker 5 (11:55):
So yeah, at the moment exactly.
Speaker 6 (11:57):
And that's what digital adoption platform I'll do it one
hundred decent.
Speaker 4 (12:01):
So good baseline. Good foundation of what adopt is the
problems that it solves. Let's move from theory to reality.
What are you hearing from customers? What kinds of problems
are you seeing solved in the field? And since we've
announced it, what kind of foothold does adopt have out
there in the market.
Speaker 5 (12:19):
Well, there's a lot of use causes.
Speaker 6 (12:21):
So I think one thing that's important to remember is
that adopt is not only about adoption, it's also about compliance.
Speaker 5 (12:29):
It's also about it a quality.
Speaker 6 (12:30):
It's so about making sure that what people perform a task,
when they follow a process, a business process, they do
it well. Because maybe people do the process which is
already something, but they might do it wrong because the
application does not have the right validation capabilities, because they
don't have the right information.
Speaker 5 (12:51):
So then you have this back and force.
Speaker 6 (12:53):
You submit a report, you submit an expense, you submit
something goes to a manager, goes to someone else, they
realize you've not done it proper, comes back to you.
You have to fix it again. A lot of time wasted,
lots of product is wasted. Imagine errors as simple as
not feeling properly a building address versus a shipping address,
and then you ship an expensive, you know, piece of
(13:15):
material could be a car, could be a medical device
to the wrong place. That's huge in terms of cost,
in terms of time, and that's you know, due to
a very small mistake in one field, in one form
that adopt can.
Speaker 5 (13:30):
Fix very easily. So we see these types.
Speaker 6 (13:32):
Of use cases, we see customers using adopt on of course,
on hr M platforms.
Speaker 5 (13:37):
Work day is a very common use case. It's a
very complex application.
Speaker 6 (13:41):
We see a lot of CRM salesforce dynamics, we see
custom applications.
Speaker 5 (13:46):
Of course we have a lot of focus on.
Speaker 6 (13:51):
Guidance, but also analytics are very important, so the administrators
the business, but also it need to know how this
guidance is performing, how use the application as well as struggling.
And we also see how customers start to benefit from
the integration of Adopt innexing Infinity being able to also
(14:11):
solve the technical issues, being able to understand how people
use the application, but also how the application is performing
all together len single pin of glass, not having to
go to different teams to bring the pieces together.
Speaker 4 (14:27):
So a lot like Infinity itself, Adopt is a very
innovative product. Right when we first announced, when we first
started getting techs out into the market, our biggest one
of our biggest jobs was to get everybody who uses
it to think differently.
Speaker 2 (14:43):
Adopt is very much the same.
Speaker 4 (14:45):
Do we need to get all of these folks that
are in it to think differently about digital adoption? And essentially,
are we giving them a new problem that they don't
already have or do they have a new customer that
already has this problem. How do we can we bridge
the gap between a couple of different consumers in it.
Speaker 5 (15:05):
That's a very good question.
Speaker 6 (15:06):
So first think about digital adoption is already a first step,
and then how do you think about it. I think
there's there's a very different approaches that we see in
our customers.
Speaker 5 (15:18):
It's hard to say that there's a one side fits
on approach.
Speaker 6 (15:20):
So we have some customers and you'll hear some of
them in a breakout sessions to the end tomorrow where
they've bis the center of excellence. The center of excellence
for digital adoption could be in it and it could
be the same as the as the existing next index team.
For someone else, it's in HR, it's in learning and
development for instance, and some others has not necessarily built
(15:43):
the center of excellence, but they already have adopts being
used by the business. The business could be you know, finance,
sales or HR for instance. I think what's important is
really you know, to collaborate, to communicate. We think that
it has a very important role to play there. We
think that the team already owning next thing today, the
(16:05):
dech side of things can play an important role. I
think the center of excellence is always a good strategy
to be able to expand to other parts of the business.
It's not meant that the way. It's not necessary. We
see customers being successful without it. But I think it's
a good strategy, and we know that it cannot own
all the business applications, so they really have to work.
Speaker 5 (16:26):
They have to communicate, they have to delegate and.
Speaker 6 (16:30):
You know, already build those relationships with the business to
make sure that they get the most out of nexting Adult.
Speaker 4 (16:37):
So Adopt has been out for a couple of years.
Speaker 2 (16:40):
How has it?
Speaker 4 (16:41):
One of the big differentiators for next thing is the
speed that we can innovate. How has adopt evolved since
we introduced it a year.
Speaker 2 (16:49):
Or two ago.
Speaker 6 (16:50):
Yeah, so when we don't adopt it was like the
original Adopt from the Apple and acquisition, and basically we
spent I would say, about a year to integrate it
in and just by the fact that it's now in
the next platform, it benefits from a lot of new functionalities.
It's more enterprise ready. The data can be exported at scale.
(17:10):
Customers can build their own custom live dashboards on analytics,
so there's a lot of things that you know are there.
You can use next in Assist, for instance, to create
the data just asking questions how many people have interacted
with my guide on salesforce, how many people have dropped
off on this guide on work day. So that's something
(17:31):
that you get out of the box with Next Think
with adopting on Infinity.
Speaker 5 (17:36):
But we've also released a lot of new innovations.
Speaker 6 (17:38):
Some of them are pure digital adoption platform innovation, like
the capability to group guides in journeys, for instance, and
some of them are more you know, air native air innovations,
so we now have the capability to translate guides in
any language.
Speaker 5 (17:56):
In just a click in a few circonds using the
eye of course.
Speaker 6 (18:00):
And some of them are already taking the most out
of the fact that Adopt is on the next Think
Infinity X platform, like what we call those action buttons
that basically you can put inside a guide. So when
a user is following a process and is being guided
by next Think Adopt, they can click on a button,
for instance, to request for new permissions, to install a
(18:21):
new plug in, to do any technical task that they
would need to do in the middle of their business
stands that they performing their application. And once again only
next Thinc Can do post the digital adoption part with
the guides and the fact that you can solve a
technical issue. I think a great example is onboarding. We
(18:44):
know that every organization in the world has trouble with onboarding.
It's a very complex process. And with next Think, imagine
that you can when a new joiner joins your organization.
You can make sure that they have the right technical settings,
that the VPN is working, that they have you know,
their single sign on in place, they have the rights
rather extension installed, and once everything has been checked from
(19:08):
the back end using next inflow funstance transparently in a
few seconds, then an engaged campaign can welcome them to
the organization so they don't even need to know, you know,
if they need to go to a specific application from
the campaign, they can click and get to let's say
that your employee portal or your HR system like Worthday,
and then adopts will just pop up and guide them
(19:29):
through you know, welcome, feel in your profile, feeling, your
becka con details, so you make sure that you're gonna
get paid, and then take them to salesforces as a
sales reps off.
Speaker 5 (19:38):
Sus Gyrite the product managern likely.
Speaker 3 (19:41):
It is such a special and innovative technology and obviously
everybody in the.
Speaker 2 (19:47):
Audience can go straight from here at ten thirty.
Speaker 3 (19:50):
I believe the Pedro and Sam's kin I think they're
gonna hear a bit more about yes so. And if
you're listening or watching it, you can either watch that
on demand or maybe you can get a Boston if
Austin hasn't come along yet, But there will definitely be
an option not only to see that keynote find out
more about the latest iteration, but also to get.
Speaker 5 (20:07):
In touch right and don't don't miss it.
Speaker 3 (20:10):
And now let's let's we're gonna hear next from a customer,
but just to say thanks so much for doing this. Man,
it was lovely to have you love to hear about
hope and we'd love to welcome. Now make sure you
give up a right microphone. Gabriel and mariahs from Electro
(20:30):
looks round the clouse to Gabriella.
Speaker 5 (20:32):
Everybody welcome, How you doing?
Speaker 2 (20:36):
Nice to see it, Can you hear it? Can we
hear it?
Speaker 5 (20:41):
Hey?
Speaker 3 (20:42):
Yeah, Garbrett, do you want to play some more AI admissions?
Speaker 2 (20:50):
Okay?
Speaker 3 (20:51):
These are okay, So we've done the professional admissions okay,
and people were kind.
Speaker 7 (20:55):
Of I felt a little bit a little bit dishonest? Right, yeah,
what about personal admissions? What about personal admissions? So who
confides to AI? Who tells AI their problem?
Speaker 2 (21:10):
Anyone does? Anyone admits telling AI their problems? Personal therapists
use AI as a personal therapist.
Speaker 7 (21:17):
Nobody is admitting to it, which is interesting because I
know a few people.
Speaker 8 (21:22):
What do you think Blenning Troops counts?
Speaker 2 (21:25):
But no, no, that's not a therapist, is it.
Speaker 3 (21:27):
If you have an issue, like a issue in your
relationship going to him, you've got you got one for
personal admissions?
Speaker 2 (21:34):
So I just did this myself. So who's used it
to plan a personal trip?
Speaker 8 (21:39):
Myself?
Speaker 2 (21:40):
It's a great trip planner? Completely agree? Who uses AI
as a doctor?
Speaker 3 (21:48):
As a doctor, it's got my whole medical history and
the prompt Yeah yeah, like the whole thing everything I
could ever admit.
Speaker 2 (21:55):
You know, who has shared a secret with AI?
Speaker 3 (22:00):
That is a prophecy, you know in some context struggle
that they wouldn't necessarily share with with just anybody.
Speaker 2 (22:05):
But it's a secret, you know, besides medical records. Yeah? Yeah,
And what was it?
Speaker 5 (22:12):
I was? I was changing jobs?
Speaker 2 (22:15):
Very good, very good. Well, maybe one or two more
team can't bring us in.
Speaker 4 (22:19):
So I'm I'm terrible at remembering jokes. Who's asked AI
to develop or create a joke that you can tell?
Speaker 2 (22:29):
Was it any good? Was it any good?
Speaker 4 (22:31):
No?
Speaker 2 (22:32):
Do you think it was funny?
Speaker 6 (22:33):
Yeah?
Speaker 2 (22:33):
Ai is getting funny. Hey, I thought it was very good.
Speaker 3 (22:36):
We were chatting before about how sick a fantic AI
is getting.
Speaker 4 (22:39):
It's very complimentary. Anything you ask it, any help, I'll
be happy to follow up with you. Let me know
that great.
Speaker 3 (22:46):
Question, that's a guy way this game really fuckally ask
kiss GPG in fact?
Speaker 2 (22:52):
You know? But yeah, shall we shall we get on
with you, Let's do let's do it. Let's do it.
Speaker 3 (22:59):
Okay, get Gabriel, tell us about yourself about a led
to lot begam And.
Speaker 8 (23:04):
So I started back in twenty fifteen in HR so
mhr folk our liar here in experience, my first year
in experience, my first time in a live show as well.
Super hap to see adoption in the main stage where
it should be long and really keen to here whatever
(23:24):
we are going to hear from Peter and the other
guys in the team. And yeah, so adoption has been
like part of my journey since ever. I believe because
I care about what people think, and for me, it's
all what adoption is about. So really listening to people
and understand what they really needs are and talk to.
Speaker 3 (23:47):
Us about that transition from HR into what you do now?
How is how is your role and career evolved?
Speaker 1 (23:52):
Ok?
Speaker 8 (23:52):
Yeah, So I started back in two tentsy fifteen the descent,
and there was already my first contact with systems and
also with how frustrated employees are and the employee journeys
could be like I struggle. And then from there I
moved to projects HRS and now adoption because I've always
(24:17):
want to challenge the status score of why do things
are so hard? So I'm a challenger within d HR setup.
So yeah, always asking how why this is so hard
and how can we make it easier? So this brought
me to where I am today.
Speaker 3 (24:36):
Nice Nice can teams go through questions about that specific Yeah,
so let's.
Speaker 4 (24:40):
Stay on that adoption track.
Speaker 2 (24:42):
Right.
Speaker 4 (24:44):
For anyone who may have been following me on LinkedIn,
you can see that I had a grueling first half
of the year, traveling everywhere from San Francisco to Sydney,
and it felt like everywhere in between. And as I
talk with executives around the world, adoption has been top
of mind. So talk a little bit about digital adoption specifically.
Speaker 2 (25:06):
It seems to be a big priority. How do you
feel about it?
Speaker 8 (25:08):
Yeah, it is a priority. I see it everywhere honestly,
but at the Electrolox it's a top priority. We embedded
even in the corporate strategy because to be honest, the
company has invested a lot in the text tack in
the last decade, so it's expensive, but we are not
always seeing the return of investment following. So we understand
(25:32):
that now because we took a few steps back and
went back to the end users that we call it employees,
and we defined a baseline, right, so what good adoptions
should look like, and then we understood that we need
to simplify the text tack and make it more intuitive,
(25:53):
more designed to what the user needs, not what us
that build the technology think they need to.
Speaker 4 (26:00):
So yeah, and there's a psychological approach to the to
the program as well.
Speaker 2 (26:05):
Talk about that a little bit.
Speaker 8 (26:06):
Yeah, So we use behavior science to support us. We
made a lot of research we count with the support
of the design team as well inside of Electrolouges, and
we understand now that they use their journey it happens
successfully whenever we design for the behavior, not for intentions,
(26:28):
so we ask them. We keep listening and every time
that we try new things, and we have a very
you know, selected group of representation from all of the
company and all the things that we develop and try
to innovate, we start small, listen to the group and
(26:49):
always bring back whatever we are thinking to deploy and
they are like our hand to hand partners. They keep
sharing feedback and spread the vice as well. So that's
been very, very productive. Let's say, so.
Speaker 4 (27:04):
That's the human side of adoption. Talk about the AI side.
How does AI change your plans? Doesn't need any unique attention.
How does AI factor.
Speaker 2 (27:14):
Into the equation?
Speaker 8 (27:15):
Yes, AI is everywhere, so it's speeding up everything. It's great,
but from the adoption side, it's super challenging because we
have the regulations that are not following as fast as
we need. So we have the governmental side but also
the corporate side, so we need to speed it up.
(27:37):
But also we have the safety psychologist piece, which is
to make sure that people trust the II. But of
course we also need data go governance and security from
the data models to make sure that people can build
that trust on the II, but we need people to
make sure that they can trust it and the I
(27:58):
will not replace them. That's still something that if the
people believes. So I guess all combined is what I
see at least as the adoption challenge that we have
for AI.
Speaker 3 (28:12):
Great, Yeah, and what do you we're talking about ALI
transformation there and what are the main obstacles of the people.
Speaker 8 (28:21):
Find I believe again the data governance that not always
the data that we have there to support the model
or the best. So we need to look at it
because the output of the I will be as good
as your data. We all know this by now. But
also I believe that we need to focus on developing
the skill set of the people that are going to
(28:43):
use AI, and not only technically speaking, so how to
write good prompts and all, but also how to be
more analytical and taking that inside the day I will
bring to them to make smarter decisions. So I still
see that we have it is analytical skill set, it
(29:03):
has a gap and again coming back to more coor
HR side here, we need to develop those skills as
well to make sure that will reach its full potential.
Speaker 9 (29:15):
So your career so obviously had a bit of a technological,
a lot of human and increasingly in it those two
elements are coming into closer and closer contact all the time.
Speaker 2 (29:26):
How do you see that playing out in the coming
years and.
Speaker 3 (29:29):
How are you putting your own future career to sort
of ride that way that at these two forces come together.
Speaker 8 (29:35):
I believed that HR and IT it's coming more and
more close over the years. We are already seen even
like reporting to the same VICE presidents. But even though
when it's not, we are coming close because we understood
by now that technology serves a purpose that is to
(29:56):
make people work better, and HR as well, we are
there to support people to do their best. So it's
kind of the same goal at the end of the
day and my career specifically, I love to be beverage
and I would keep doing it because the mantra that
I use internally, ETRA looks with my VICE presents from
(30:18):
nature and ities that we need to make technology more
human centric and the people is strauding more technology and
they So that's that's about it.
Speaker 2 (30:29):
That's cool us. I like it. I like it a lot.
That's amazing.
Speaker 3 (30:33):
Lastly, we want to keep you here to say goodbye
and do a couple of lots of audience questions. Please,
but I'm just I've you've only been here now to
be fair, but why should listeners, viewers you haven't been
to an experienced perhaps come to this events just a little?
Speaker 8 (30:46):
I believe it's it will sound like, you know, too
common to say, but to challenge the status chol mainly
because again adoption is coming to the main stage, which
is amazing, which we refer says a lot. Right, we
are shifting from technology for technology, from two technology to people.
(31:07):
So let's hear what the great things are coming from
next thing, but also from each other. Let's talk to
each other and see water the great things we are
building ourselves wonderful.
Speaker 2 (31:18):
Thanks Grea.
Speaker 3 (31:19):
I'm I'm gonna ask a couple more questions, but no
more confessions, everybody, Okay, no more embarrassing confessions. Let's just
find out what people are thinking and feeling about AI
transformation in their organizations. Right, So, who here thinks their
employees are using AI more than they currently realize if
you had to guess more usage, when you would estimate
(31:42):
or you guess or know who thinks they're using it.
Speaker 2 (31:46):
Less than they would like? Yeah, there's some there's some
a little bit of that.
Speaker 8 (31:52):
What are your Yeah, there's the depends on the core
of the goal of what they are trying to achieve.
I believe that when they have a very sensitive subject,
sometimes they are more afraid to make mistakes, but they
are willing too. We again, we are hearing from employees
and they want to use it, but they not really
(32:15):
sure the right way to do it. But the majority
wants to use it.
Speaker 2 (32:21):
Is anyone here concerned that.
Speaker 3 (32:25):
Employees are using AI incorrectly without understanding the risks of AI.
Speaker 2 (32:31):
There's a sort of a casualness around it. Yeah, yeah, Tim,
you've got another found Yeah, we all know what shadow
it is.
Speaker 4 (32:38):
How many people think that shadow AI is rampant, the
cowboys out there doing.
Speaker 2 (32:43):
Their own thing, and that you know nothing about couple?
Speaker 3 (32:51):
And who's that to actually deal or confront a real
incident of an employee.
Speaker 2 (32:57):
Breaking company policy with AI.
Speaker 3 (32:59):
Who's actually had to address it or had the ability
to address it?
Speaker 2 (33:03):
No? Nobody? Yeah, yeah, you have had a couple interesting
and interesting.
Speaker 3 (33:07):
Well, people may want to catch Pedro and Sam's keynote
absolutely without a doubt in at ten thirty and if
they're watching on listening to this. They can get that
on demand or they can come and join us in Boston,
but we will make it whatever we can available in
the show notes. Just remains for us to thank everybody,
not least our guest to Gabriella and Gilham, I've rung
(33:31):
a boy.
Speaker 2 (33:31):
Thank you, yes, thank you.
Speaker 3 (33:34):
And thanks everybody for coming to experience London and for
coming to see us this morning.
Speaker 2 (33:38):
We've really appreciated it.
Speaker 4 (33:39):
And it's great to be side by side in person
and stead of across the pond, and great to be
in front of everybody here, including our guests.
Speaker 5 (33:45):
Phone.
Speaker 2 (33:45):
Yeah, come you say hi to your listener.
Speaker 3 (33:47):
It's not always lovely to meet people here while we're here,
and thanks so much.
Speaker 2 (33:50):
It's been lovely to see. If we have a great experience, jeez.
Speaker 1 (33:55):
To make sure that you never miss an episode, subscribe
to the show in Apple Podcasts, Spotify, or your favorite
podcast player, and if you're listening on Apple Podcasts, make
sure to leave a rating of the show. Just tap
the number of stars you think the podcast deserves.
Speaker 5 (34:09):
If you'd like to.
Speaker 1 (34:09):
Learn more about how next Think can help me improve
your digital employee experience, head over to nextthink dot com.
Thank you so much for listening until next time.
Welcome it, change Makers to the Deck Show with Tim
Flower and Tom McGraw. Let's get into it.
Speaker 2 (00:09):
Hello everybody, Welcome to the Deck Show Live.
Speaker 3 (00:12):
Nice to see you all, and welcome, of course, to
experience London. We're here by the Thames in the incredible
Intercontinental Hotel next to the iconic oh To Arena.
Speaker 2 (00:26):
Tim, how you doing.
Speaker 4 (00:28):
I'm doing a great time. It's so awesome to be
in London. We don't have the history that London has
over the States.
Speaker 2 (00:34):
It's always so cool to be over here. Can I
just ask who was here last year?
Speaker 3 (00:38):
Who was here to experienced London twenty twenty four.
Speaker 2 (00:42):
Let's see a show of hands, please? Were you calling
for him? Were you very cold? Do you remember last year?
Speaker 3 (00:47):
We were at the Tobacco Doc Last year it was
a beautiful venue, it was straight out of peaky blinders,
but it was freezing cold. So we hope nobody is
viscerally cold today and it's just enjoying the day and
excited about it. We have a couple of absolutely wonderful
guests to welcome to the stage. Momentarily before we do so, Tim,
(01:08):
since this is the year of AI, right something like that,
we thought we would play a little game with for
the audience. Okay, is everybody up for a game? We
need your participation. Please give us a clap if you're
up for it. Okay, Okay, we're gonna this is an
escalating ladder of AI confessions. Okay, we're playing a game
(01:29):
of AI confessions. So we're gonna start with a professional ladder.
All right, So we want everybody to be quite honest,
and I'm going to go first. We want to show
of hands to admit if this applies to you. Does
everyone understand?
Speaker 2 (01:41):
Okay?
Speaker 3 (01:42):
Confession number one, simple one, just to get everybody's arm
working right? Who here has used AI to write an
email for them? An entire email? Not everybody?
Speaker 2 (01:54):
Okay, there more than I would have expected, a lot
of self respect. Okay, Okay, Tim, do you do you wanna?
Do you want to ask one out? Okay?
Speaker 4 (02:02):
You got?
Speaker 2 (02:02):
You got? You have an XT kit?
Speaker 4 (02:03):
So I we're all professionals. Everybody's on LinkedIn? Who's used
AI to make themselves sound smarter?
Speaker 2 (02:10):
On LinkedIn? Actually I don't need to die? Who is usday?
I to write an entire LinkedIn post soup to nuts?
As they say, the.
Speaker 3 (02:21):
Entire thing we got we got one on this person
in the whole show live audience.
Speaker 2 (02:26):
Okay, okay, that's good. Here's here's what I come up with.
Speaker 3 (02:30):
Right, I have to explain this one, okay, who has
used AI professionally to soften the blow?
Speaker 2 (02:36):
You know, you've got to say, ah, look the hand
people know exactly what I mean.
Speaker 3 (02:40):
Right, You've got to say something's a little difficult to say,
and you're like, how.
Speaker 2 (02:43):
Do I put this? You know, one way or the other,
and it softens the blow.
Speaker 3 (02:47):
I totally have usday, I just softened the blow, okay,
tim one food from you?
Speaker 4 (02:52):
Who's used AI to actually author an entire blog? I
need to write something. I have no idea what the
fled a.
Speaker 2 (03:00):
I writed for me.
Speaker 4 (03:01):
We will get fired if they admit it, so we
won't tell anybody if I break the writer's block, but
I don't use it to write the whole block on
the entire Nobody is admitting to this, and quite quite right,
quite right?
Speaker 2 (03:12):
Okay? Who is ever? If you imagine, right, you're in
a call, you're in a meeting, yeah.
Speaker 3 (03:18):
And you suddenly sense that you're gonna it's a zoom call,
that's right, And you suddenly sense that you're going to
be asked a question. You can tell because the questions
going around and you know you don't know the answer.
Who's pulled up AI to quickly establish the answer in
advance of being asked a question? And let me just admit,
let me just be the first to admit. Okay, we've
(03:39):
got we've got a show of hands beyond down front.
I guess in fact, I'm very honest and very AI
vigorous AI users.
Speaker 2 (03:46):
We like that. Okay, amazing?
Speaker 3 (03:49):
Last one is him, last one from you of the audience,
Come and everybody be honest, be honest to it.
Speaker 4 (03:54):
So who here has used AI to make themselves look good?
Speaker 5 (03:59):
And hope no one w.
Speaker 2 (04:01):
Let's go, come on. We don't even believe here, We
don't even believe have crossed arms out there. I have
another don't even even know denying it. I have a follower.
Speaker 4 (04:09):
When you receive something that looks like it was AI generated,
how do you feel about the person who's said who.
Speaker 2 (04:16):
Do you think? Do you think a little bit less?
Speaker 4 (04:18):
Do you think a little bit less of that person?
Or do you think more of them for being cret
You guys want to be other. I know setup inside
so how many people think less of the person who
sent the AI generated and how many people.
Speaker 2 (04:31):
Think more of them for being creative and efficient.
Speaker 3 (04:33):
My left hand goes up, and you know, okay, well,
thank you so much, everybody. You're you're you're somewhat dishonest, audience,
I suspect, but you know, we appreciate it. And we're
going to welcome now our first guest, and we have
a we have a bit of.
Speaker 2 (04:49):
A theme today which is digital adoption.
Speaker 3 (04:51):
You're gonna notice that across both both of our wonderful guests,
and could you will put your hands together to welcome
next thinker and product that Senior director of Product Management
Diagnostic Charles, how are you doing them?
Speaker 2 (05:06):
Nice to see the home welcome? Hey man, how you doing?
Didn't see you? Yeah, I was very honest by the
way he was. The hand was going up like almost
every single time. I don't know, but.
Speaker 3 (05:19):
Maybe introduced yourself in your relevance to this theme and topic.
Speaker 2 (05:23):
Perstely.
Speaker 5 (05:24):
Yeah, sure, So.
Speaker 6 (05:25):
I'm working in a product tiam at Nexting and when
we met, when I was on the show two years ago,
I was really focused more on the deck side of things,
so everything around trouble shooting diagnostics, alert simplify, reducing tickets,
and a lot of things happened since then. So Next
Thing did the first acquisition of a company called Apron.
I was naturally involved in this because I had worked
(05:47):
on application experience from day one, so I was involved
in everything around how to better manage applications and the
experience of employees using business applications. Plus the technology was
very close because it's really these brother extensions which I
used to do both digital adoption but also application experience.
So when the acquisition happened, I was involved in the
due diligions and then basically we spent a fair amount
(06:10):
of time integrating the Upron product into the next Thing stack,
into next in infinity and so yeah, now I'm ready
one hundred percent focused on every single old application, So
huge focus on Nexting adopt, digital adoption, but also still
application experience because they really go together.
Speaker 3 (06:26):
And if people don't know what makes the jobts of
specially technology.
Speaker 6 (06:29):
Again, well it's the only digital adoption platform that's built
on a DEX platform.
Speaker 5 (06:37):
What does that mean?
Speaker 6 (06:38):
It means that we Next Thing can really guide people
inside applications with this you know, real time in application
guidance to make empraise more productive when the constance they
need to perform a task, a complex business task in
an application imagine a HRM, a CRM, or even your
custom homegrown applications. But it can also solve technical proms
(06:59):
in real time time. So if you're an employee and
you're trying to do something which could be as simple
as requesting vacations or as complex as conducting doing a
purchase order, next thing, adopt can guide you through this process.
Speaker 5 (07:14):
But if at some point.
Speaker 6 (07:15):
You have a permission issue, you know, technical application issue,
plug in to install or whatever, then we're the only
platform which will enable you to solve this and to
fix it in real time while staying in the floor
of work in the application.
Speaker 2 (07:32):
And we saw the crowd.
Speaker 3 (07:34):
Digital adoption is a preoccupation for many, not for all.
Why what without a doubt from a year or two
years ago, it's becoming more and more to the forefront
of people's preoccupations.
Speaker 2 (07:45):
What are the trends which are driving that pre eminence.
Speaker 6 (07:48):
Well, first, I think the market and the industry are
getting more mature, so people, you know, start to understand
that even if your technology stack works perfectly, even if
you already have nexting, and you know you have workpless expels,
have applica experients since work well, technically, if people don't
know how to use the applications, they are not gonna
be productive, They're not gonna have a good employee experience.
(08:09):
So that I think is just you know, time pass,
people get more mature, think about those things more and more.
But then also you have the global economy, so you know,
rationalizing courts, making sure that people use applications to their
full potential before thinking about buying a new application. So
you know, we deal with very big organizations and many
of them that have four or five if not more
(08:31):
BI tools and same for you know, AI tools, same
for sometimes finance tools, and basically those companies start to
realize why, you know, we need to stop buying more
and more and focus on what we have first. So
next thing could already help reduce fans the number of licenses,
but now we can also make sure that the employees
(08:51):
will use the application to their maximum, to their full
potential before buying a new application. And this you can
do easily with adopts because you and really guide people
through the applications through the complex workflows. To make sure
that they use the features that they might not be
aware that exist on those applications. And of course the
ast trend, as you can imagine and everyone has guests,
(09:13):
is they are you all organizations and now have a
huge mandates to adopt a I and you know if
they don't, they're gonna act behind, They're gonna be eaten
by competitors or by the next genea in native startup.
And again, digital adoption can help a lot in this
and you will see this in the keynote and throughout
this dis event.
Speaker 2 (09:33):
They made thanks so again.
Speaker 4 (09:36):
Next week is all about removing barriers to productivity. Big
aspirations can have big hurdles to overcome and doing that.
In my years in it, I've seen countless numbers of
transformations and software deliveries where enablement and training was an
afterthought and that can create all kinds of chaos and headaches.
(09:57):
What do you see as some of the biggest barriers
it's a successful adoption.
Speaker 6 (10:02):
Yeah, an obvious one is thinking too much about technology
and not enough about people. For sure, we all know
that you change management and adoption both technology but also
people topics and training is something that's very very difficult
to do. I think even if training sometimes is not
an afterthought, then you think about it carefully. If it's
(10:25):
done the kind of the standout, the old school way,
it's not so efficient.
Speaker 5 (10:29):
I think we've all experienced this.
Speaker 6 (10:31):
I've been in a training room or in a remote
session for hours, if not days, to learn about something new,
a new process and new application. And then you might
need to apply this a few day laters, sometimes maybe
a few months later.
Speaker 5 (10:44):
What do you remember of it?
Speaker 6 (10:47):
Well, there asteries which show that I think people forget
something like eighty percent of a the learning a training
session in the next couple of days. And it's just human.
You cannot do much about this. People will forget and
then they will have to do that job. They will
don't they will not know how to do it. They
will look for information. Maybe you know all your training
has been documented, maybe you have an lems system somewhere,
(11:10):
but people will not necessarily find it. They don't know
how it's called, they don't know where to find it,
where to find the righting for And even if they do,
it means they're interrupted.
Speaker 5 (11:20):
They were in the floor, in the floor of work.
Speaker 6 (11:22):
In the floor in the like, very focused and they
have to break their floor, they have to go and
find some information somewhere else and come back. It's a
huge productivity loss, and that's that's a huge barrier. And
with digital adoption platforms, you can really bring the information
that people need at the right time, in the right context,
to the right person, in the right application, in the
(11:44):
floor of work.
Speaker 2 (11:45):
What always strikes me is like, where do you learn something?
The best is when you're doing it right.
Speaker 3 (11:50):
Yes, that's when you learn, Like, it's not when someone
tells you how to do it before you have to
do it.
Speaker 5 (11:55):
So yeah, at the moment exactly.
Speaker 6 (11:57):
And that's what digital adoption platform I'll do it one
hundred decent.
Speaker 4 (12:01):
So good baseline. Good foundation of what adopt is the
problems that it solves. Let's move from theory to reality.
What are you hearing from customers? What kinds of problems
are you seeing solved in the field? And since we've
announced it, what kind of foothold does adopt have out
there in the market.
Speaker 5 (12:19):
Well, there's a lot of use causes.
Speaker 6 (12:21):
So I think one thing that's important to remember is
that adopt is not only about adoption, it's also about compliance.
Speaker 5 (12:29):
It's also about it a quality.
Speaker 6 (12:30):
It's so about making sure that what people perform a task,
when they follow a process, a business process, they do
it well. Because maybe people do the process which is
already something, but they might do it wrong because the
application does not have the right validation capabilities, because they
don't have the right information.
Speaker 5 (12:51):
So then you have this back and force.
Speaker 6 (12:53):
You submit a report, you submit an expense, you submit
something goes to a manager, goes to someone else, they
realize you've not done it proper, comes back to you.
You have to fix it again. A lot of time wasted,
lots of product is wasted. Imagine errors as simple as
not feeling properly a building address versus a shipping address,
and then you ship an expensive, you know, piece of
(13:15):
material could be a car, could be a medical device
to the wrong place. That's huge in terms of cost,
in terms of time, and that's you know, due to
a very small mistake in one field, in one form
that adopt can.
Speaker 5 (13:30):
Fix very easily. So we see these types.
Speaker 6 (13:32):
Of use cases, we see customers using adopt on of course,
on hr M platforms.
Speaker 5 (13:37):
Work day is a very common use case. It's a
very complex application.
Speaker 6 (13:41):
We see a lot of CRM salesforce dynamics, we see
custom applications.
Speaker 5 (13:46):
Of course we have a lot of focus on.
Speaker 6 (13:51):
Guidance, but also analytics are very important, so the administrators
the business, but also it need to know how this
guidance is performing, how use the application as well as struggling.
And we also see how customers start to benefit from
the integration of Adopt innexing Infinity being able to also
(14:11):
solve the technical issues, being able to understand how people
use the application, but also how the application is performing
all together len single pin of glass, not having to
go to different teams to bring the pieces together.
Speaker 4 (14:27):
So a lot like Infinity itself, Adopt is a very
innovative product. Right when we first announced, when we first
started getting techs out into the market, our biggest one
of our biggest jobs was to get everybody who uses
it to think differently.
Speaker 2 (14:43):
Adopt is very much the same.
Speaker 4 (14:45):
Do we need to get all of these folks that
are in it to think differently about digital adoption? And essentially,
are we giving them a new problem that they don't
already have or do they have a new customer that
already has this problem. How do we can we bridge
the gap between a couple of different consumers in it.
Speaker 5 (15:05):
That's a very good question.
Speaker 6 (15:06):
So first think about digital adoption is already a first step,
and then how do you think about it. I think
there's there's a very different approaches that we see in
our customers.
Speaker 5 (15:18):
It's hard to say that there's a one side fits
on approach.
Speaker 6 (15:20):
So we have some customers and you'll hear some of
them in a breakout sessions to the end tomorrow where
they've bis the center of excellence. The center of excellence
for digital adoption could be in it and it could
be the same as the as the existing next index team.
For someone else, it's in HR, it's in learning and
development for instance, and some others has not necessarily built
(15:43):
the center of excellence, but they already have adopts being
used by the business. The business could be you know, finance,
sales or HR for instance. I think what's important is
really you know, to collaborate, to communicate. We think that
it has a very important role to play there. We
think that the team already owning next thing today, the
(16:05):
dech side of things can play an important role. I
think the center of excellence is always a good strategy
to be able to expand to other parts of the business.
It's not meant that the way. It's not necessary. We
see customers being successful without it. But I think it's
a good strategy, and we know that it cannot own
all the business applications, so they really have to work.
Speaker 5 (16:26):
They have to communicate, they have to delegate and.
Speaker 6 (16:30):
You know, already build those relationships with the business to
make sure that they get the most out of nexting Adult.
Speaker 4 (16:37):
So Adopt has been out for a couple of years.
Speaker 2 (16:40):
How has it?
Speaker 4 (16:41):
One of the big differentiators for next thing is the
speed that we can innovate. How has adopt evolved since
we introduced it a year.
Speaker 2 (16:49):
Or two ago.
Speaker 6 (16:50):
Yeah, so when we don't adopt it was like the
original Adopt from the Apple and acquisition, and basically we
spent I would say, about a year to integrate it
in and just by the fact that it's now in
the next platform, it benefits from a lot of new functionalities.
It's more enterprise ready. The data can be exported at scale.
(17:10):
Customers can build their own custom live dashboards on analytics,
so there's a lot of things that you know are there.
You can use next in Assist, for instance, to create
the data just asking questions how many people have interacted
with my guide on salesforce, how many people have dropped
off on this guide on work day. So that's something
(17:31):
that you get out of the box with Next Think
with adopting on Infinity.
Speaker 5 (17:36):
But we've also released a lot of new innovations.
Speaker 6 (17:38):
Some of them are pure digital adoption platform innovation, like
the capability to group guides in journeys, for instance, and
some of them are more you know, air native air innovations,
so we now have the capability to translate guides in
any language.
Speaker 5 (17:56):
In just a click in a few circonds using the
eye of course.
Speaker 6 (18:00):
And some of them are already taking the most out
of the fact that Adopt is on the next Think
Infinity X platform, like what we call those action buttons
that basically you can put inside a guide. So when
a user is following a process and is being guided
by next Think Adopt, they can click on a button,
for instance, to request for new permissions, to install a
(18:21):
new plug in, to do any technical task that they
would need to do in the middle of their business
stands that they performing their application. And once again only
next Thinc Can do post the digital adoption part with
the guides and the fact that you can solve a
technical issue. I think a great example is onboarding. We
(18:44):
know that every organization in the world has trouble with onboarding.
It's a very complex process. And with next Think, imagine
that you can when a new joiner joins your organization.
You can make sure that they have the right technical settings,
that the VPN is working, that they have you know,
their single sign on in place, they have the rights
rather extension installed, and once everything has been checked from
(19:08):
the back end using next inflow funstance transparently in a
few seconds, then an engaged campaign can welcome them to
the organization so they don't even need to know, you know,
if they need to go to a specific application from
the campaign, they can click and get to let's say
that your employee portal or your HR system like Worthday,
and then adopts will just pop up and guide them
(19:29):
through you know, welcome, feel in your profile, feeling, your
becka con details, so you make sure that you're gonna
get paid, and then take them to salesforces as a
sales reps off.
Speaker 5 (19:38):
Sus Gyrite the product managern likely.
Speaker 3 (19:41):
It is such a special and innovative technology and obviously
everybody in the.
Speaker 2 (19:47):
Audience can go straight from here at ten thirty.
Speaker 3 (19:50):
I believe the Pedro and Sam's kin I think they're
gonna hear a bit more about yes so. And if
you're listening or watching it, you can either watch that
on demand or maybe you can get a Boston if
Austin hasn't come along yet, But there will definitely be
an option not only to see that keynote find out
more about the latest iteration, but also to get.
Speaker 5 (20:07):
In touch right and don't don't miss it.
Speaker 3 (20:10):
And now let's let's we're gonna hear next from a customer,
but just to say thanks so much for doing this. Man,
it was lovely to have you love to hear about
hope and we'd love to welcome. Now make sure you
give up a right microphone. Gabriel and mariahs from Electro
(20:30):
looks round the clouse to Gabriella.
Speaker 5 (20:32):
Everybody welcome, How you doing?
Speaker 2 (20:36):
Nice to see it, Can you hear it? Can we
hear it?
Speaker 5 (20:41):
Hey?
Speaker 3 (20:42):
Yeah, Garbrett, do you want to play some more AI admissions?
Speaker 2 (20:50):
Okay?
Speaker 3 (20:51):
These are okay, So we've done the professional admissions okay,
and people were kind.
Speaker 7 (20:55):
Of I felt a little bit a little bit dishonest? Right, yeah,
what about personal admissions? What about personal admissions? So who
confides to AI? Who tells AI their problem?
Speaker 2 (21:10):
Anyone does? Anyone admits telling AI their problems? Personal therapists
use AI as a personal therapist.
Speaker 7 (21:17):
Nobody is admitting to it, which is interesting because I
know a few people.
Speaker 8 (21:22):
What do you think Blenning Troops counts?
Speaker 2 (21:25):
But no, no, that's not a therapist, is it.
Speaker 3 (21:27):
If you have an issue, like a issue in your
relationship going to him, you've got you got one for
personal admissions?
Speaker 2 (21:34):
So I just did this myself. So who's used it
to plan a personal trip?
Speaker 8 (21:39):
Myself?
Speaker 2 (21:40):
It's a great trip planner? Completely agree? Who uses AI
as a doctor?
Speaker 3 (21:48):
As a doctor, it's got my whole medical history and
the prompt Yeah yeah, like the whole thing everything I
could ever admit.
Speaker 2 (21:55):
You know, who has shared a secret with AI?
Speaker 3 (22:00):
That is a prophecy, you know in some context struggle
that they wouldn't necessarily share with with just anybody.
Speaker 2 (22:05):
But it's a secret, you know, besides medical records. Yeah? Yeah,
And what was it?
Speaker 5 (22:12):
I was? I was changing jobs?
Speaker 2 (22:15):
Very good, very good. Well, maybe one or two more
team can't bring us in.
Speaker 4 (22:19):
So I'm I'm terrible at remembering jokes. Who's asked AI
to develop or create a joke that you can tell?
Speaker 2 (22:29):
Was it any good? Was it any good?
Speaker 4 (22:31):
No?
Speaker 2 (22:32):
Do you think it was funny?
Speaker 6 (22:33):
Yeah?
Speaker 2 (22:33):
Ai is getting funny. Hey, I thought it was very good.
Speaker 3 (22:36):
We were chatting before about how sick a fantic AI
is getting.
Speaker 4 (22:39):
It's very complimentary. Anything you ask it, any help, I'll
be happy to follow up with you. Let me know
that great.
Speaker 3 (22:46):
Question, that's a guy way this game really fuckally ask
kiss GPG in fact?
Speaker 2 (22:52):
You know? But yeah, shall we shall we get on
with you, Let's do let's do it. Let's do it.
Speaker 3 (22:59):
Okay, get Gabriel, tell us about yourself about a led
to lot begam And.
Speaker 8 (23:04):
So I started back in twenty fifteen in HR so
mhr folk our liar here in experience, my first year
in experience, my first time in a live show as well.
Super hap to see adoption in the main stage where
it should be long and really keen to here whatever
(23:24):
we are going to hear from Peter and the other
guys in the team. And yeah, so adoption has been
like part of my journey since ever. I believe because
I care about what people think, and for me, it's
all what adoption is about. So really listening to people
and understand what they really needs are and talk to.
Speaker 3 (23:47):
Us about that transition from HR into what you do now?
How is how is your role and career evolved?
Speaker 1 (23:52):
Ok?
Speaker 8 (23:52):
Yeah, So I started back in two tentsy fifteen the descent,
and there was already my first contact with systems and
also with how frustrated employees are and the employee journeys
could be like I struggle. And then from there I
moved to projects HRS and now adoption because I've always
(24:17):
want to challenge the status score of why do things
are so hard? So I'm a challenger within d HR setup.
So yeah, always asking how why this is so hard
and how can we make it easier? So this brought
me to where I am today.
Speaker 3 (24:36):
Nice Nice can teams go through questions about that specific Yeah,
so let's.
Speaker 4 (24:40):
Stay on that adoption track.
Speaker 2 (24:42):
Right.
Speaker 4 (24:44):
For anyone who may have been following me on LinkedIn,
you can see that I had a grueling first half
of the year, traveling everywhere from San Francisco to Sydney,
and it felt like everywhere in between. And as I
talk with executives around the world, adoption has been top
of mind. So talk a little bit about digital adoption specifically.
Speaker 2 (25:06):
It seems to be a big priority. How do you
feel about it?
Speaker 8 (25:08):
Yeah, it is a priority. I see it everywhere honestly,
but at the Electrolox it's a top priority. We embedded
even in the corporate strategy because to be honest, the
company has invested a lot in the text tack in
the last decade, so it's expensive, but we are not
always seeing the return of investment following. So we understand
(25:32):
that now because we took a few steps back and
went back to the end users that we call it employees,
and we defined a baseline, right, so what good adoptions
should look like, and then we understood that we need
to simplify the text tack and make it more intuitive,
(25:53):
more designed to what the user needs, not what us
that build the technology think they need to.
Speaker 4 (26:00):
So yeah, and there's a psychological approach to the to
the program as well.
Speaker 2 (26:05):
Talk about that a little bit.
Speaker 8 (26:06):
Yeah, So we use behavior science to support us. We
made a lot of research we count with the support
of the design team as well inside of Electrolouges, and
we understand now that they use their journey it happens
successfully whenever we design for the behavior, not for intentions,
(26:28):
so we ask them. We keep listening and every time
that we try new things, and we have a very
you know, selected group of representation from all of the
company and all the things that we develop and try
to innovate, we start small, listen to the group and
(26:49):
always bring back whatever we are thinking to deploy and
they are like our hand to hand partners. They keep
sharing feedback and spread the vice as well. So that's
been very, very productive. Let's say, so.
Speaker 4 (27:04):
That's the human side of adoption. Talk about the AI side.
How does AI change your plans? Doesn't need any unique attention.
How does AI factor.
Speaker 2 (27:14):
Into the equation?
Speaker 8 (27:15):
Yes, AI is everywhere, so it's speeding up everything. It's great,
but from the adoption side, it's super challenging because we
have the regulations that are not following as fast as
we need. So we have the governmental side but also
the corporate side, so we need to speed it up.
(27:37):
But also we have the safety psychologist piece, which is
to make sure that people trust the II. But of
course we also need data go governance and security from
the data models to make sure that people can build
that trust on the II, but we need people to
make sure that they can trust it and the I
(27:58):
will not replace them. That's still something that if the
people believes. So I guess all combined is what I
see at least as the adoption challenge that we have
for AI.
Speaker 3 (28:12):
Great, Yeah, and what do you we're talking about ALI
transformation there and what are the main obstacles of the people.
Speaker 8 (28:21):
Find I believe again the data governance that not always
the data that we have there to support the model
or the best. So we need to look at it
because the output of the I will be as good
as your data. We all know this by now. But
also I believe that we need to focus on developing
the skill set of the people that are going to
(28:43):
use AI, and not only technically speaking, so how to
write good prompts and all, but also how to be
more analytical and taking that inside the day I will
bring to them to make smarter decisions. So I still
see that we have it is analytical skill set, it
(29:03):
has a gap and again coming back to more coor
HR side here, we need to develop those skills as
well to make sure that will reach its full potential.
Speaker 9 (29:15):
So your career so obviously had a bit of a technological,
a lot of human and increasingly in it those two
elements are coming into closer and closer contact all the time.
Speaker 2 (29:26):
How do you see that playing out in the coming
years and.
Speaker 3 (29:29):
How are you putting your own future career to sort
of ride that way that at these two forces come together.
Speaker 8 (29:35):
I believed that HR and IT it's coming more and
more close over the years. We are already seen even
like reporting to the same VICE presidents. But even though
when it's not, we are coming close because we understood
by now that technology serves a purpose that is to
(29:56):
make people work better, and HR as well, we are
there to support people to do their best. So it's
kind of the same goal at the end of the
day and my career specifically, I love to be beverage
and I would keep doing it because the mantra that
I use internally, ETRA looks with my VICE presents from
(30:18):
nature and ities that we need to make technology more
human centric and the people is strauding more technology and
they So that's that's about it.
Speaker 2 (30:29):
That's cool us. I like it. I like it a lot.
That's amazing.
Speaker 3 (30:33):
Lastly, we want to keep you here to say goodbye
and do a couple of lots of audience questions. Please,
but I'm just I've you've only been here now to
be fair, but why should listeners, viewers you haven't been
to an experienced perhaps come to this events just a little?
Speaker 8 (30:46):
I believe it's it will sound like, you know, too
common to say, but to challenge the status chol mainly
because again adoption is coming to the main stage, which
is amazing, which we refer says a lot. Right, we
are shifting from technology for technology, from two technology to people.
(31:07):
So let's hear what the great things are coming from
next thing, but also from each other. Let's talk to
each other and see water the great things we are
building ourselves wonderful.
Speaker 2 (31:18):
Thanks Grea.
Speaker 3 (31:19):
I'm I'm gonna ask a couple more questions, but no
more confessions, everybody, Okay, no more embarrassing confessions. Let's just
find out what people are thinking and feeling about AI
transformation in their organizations. Right, So, who here thinks their
employees are using AI more than they currently realize if
you had to guess more usage, when you would estimate
(31:42):
or you guess or know who thinks they're using it.
Speaker 2 (31:46):
Less than they would like? Yeah, there's some there's some
a little bit of that.
Speaker 8 (31:52):
What are your Yeah, there's the depends on the core
of the goal of what they are trying to achieve.
I believe that when they have a very sensitive subject,
sometimes they are more afraid to make mistakes, but they
are willing too. We again, we are hearing from employees
and they want to use it, but they not really
(32:15):
sure the right way to do it. But the majority
wants to use it.
Speaker 2 (32:21):
Is anyone here concerned that.
Speaker 3 (32:25):
Employees are using AI incorrectly without understanding the risks of AI.
Speaker 2 (32:31):
There's a sort of a casualness around it. Yeah, yeah, Tim,
you've got another found Yeah, we all know what shadow
it is.
Speaker 4 (32:38):
How many people think that shadow AI is rampant, the
cowboys out there doing.
Speaker 2 (32:43):
Their own thing, and that you know nothing about couple?
Speaker 3 (32:51):
And who's that to actually deal or confront a real
incident of an employee.
Speaker 2 (32:57):
Breaking company policy with AI.
Speaker 3 (32:59):
Who's actually had to address it or had the ability
to address it?
Speaker 2 (33:03):
No? Nobody? Yeah, yeah, you have had a couple interesting
and interesting.
Speaker 3 (33:07):
Well, people may want to catch Pedro and Sam's keynote
absolutely without a doubt in at ten thirty and if
they're watching on listening to this. They can get that
on demand or they can come and join us in Boston,
but we will make it whatever we can available in
the show notes. Just remains for us to thank everybody,
not least our guest to Gabriella and Gilham, I've rung
(33:31):
a boy.
Speaker 2 (33:31):
Thank you, yes, thank you.
Speaker 3 (33:34):
And thanks everybody for coming to experience London and for
coming to see us this morning.
Speaker 2 (33:38):
We've really appreciated it.
Speaker 4 (33:39):
And it's great to be side by side in person
and stead of across the pond, and great to be
in front of everybody here, including our guests.
Speaker 5 (33:45):
Phone.
Speaker 2 (33:45):
Yeah, come you say hi to your listener.
Speaker 3 (33:47):
It's not always lovely to meet people here while we're here,
and thanks so much.
Speaker 2 (33:50):
It's been lovely to see. If we have a great experience, jeez.
Speaker 1 (33:55):
To make sure that you never miss an episode, subscribe
to the show in Apple Podcasts, Spotify, or your favorite
podcast player, and if you're listening on Apple Podcasts, make
sure to leave a rating of the show. Just tap
the number of stars you think the podcast deserves.
Speaker 5 (34:09):
If you'd like to.
Speaker 1 (34:09):
Learn more about how next Think can help me improve
your digital employee experience, head over to nextthink dot com.
Thank you so much for listening until next time.
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