FF.SP.03 - Chris Brown_1_2.mp4

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FF.SP.03 - Chris Brown_1_1.vtt

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{{00:00:04}}
Hello, everyone.

{{00:00:05}}
My name is Julie Muhn I'm Senior
Research Analyst with Finovate,

{{00:00:09}}
and I am here today with Chris
Brown, President of Intelygenz USA.

{{00:00:14}}
Chris, thank you so much for joining us.

{{00:00:15}}
It's a pleasure.

{{00:00:16}}
Thanks for having me again.

{{00:00:17}}
As we've been walking the floor
of this conference, it's been

{{00:00:19}}
amazing to see just the increase
of development in AI solutions.

{{00:00:25}}
It is everywhere now.

{{00:00:27}}
Intelygenz has been implementing
AI for large organizations,

{{00:00:31}}
for over 10 years now.

{{00:00:33}}
Can you tell us what you think about
how companies can best navigate

{{00:00:36}}
this now quite crowded landscape?

{{00:00:39}}
Yeah, there's certainly
a lot of talk about AI.

{{00:00:42}}
Even, just in the six months since
we were, is it six months since

{{00:00:46}}
Finovate Spring to Finovate Fall?

{{00:00:48}}
About, yeah.

{{00:00:49}}
Oh, six months?

{{00:00:50}}
And yeah, it's AI, AI, AI.

{{00:00:52}}
And we know that, and
we knew it was coming.

{{00:00:54}}
There's a few things actually that I
think organizations can do and actually

{{00:00:59}}
I'm going to You know, something I
talk about here at Finovate Fall.

{{00:01:03}}
I think the first thing is try
and get yourself out of the AI

{{00:01:06}}
buzzword, out of that AI hype.

{{00:01:08}}
Really try to understand where you
can apply AI within your business.

{{00:01:12}}
Try and cross match your
strategy, your challenges to

{{00:01:14}}
the art of the possible of AI.

{{00:01:16}}
Don't get hung up and leave
that technical jargon.

{{00:01:19}}
Leave all of those hype
words to the machine learning

{{00:01:21}}
engineers and data scientists.

{{00:01:23}}
And really focus on What are the
challenges I'm facing in my industry?

{{00:01:26}}
What will make a
difference to my business?

{{00:01:28}}
And if you do that, I can promise
people from our vantage point of seeing

{{00:01:32}}
that over many years, you will put
yourself in a really good position.

{{00:01:36}}
That and the consumption models.

{{00:01:37}}
Understand how you can consume
AI because that matters.

{{00:01:40}}
It makes a difference in your
regulatory position, or what your

{{00:01:43}}
constraints are from a legal and
regulatory point of view, or how fast

{{00:01:47}}
you can go, what skills you need.

{{00:01:48}}
What levels of customization and what
levels of differentiation you can get.

{{00:01:52}}
So where to apply it,
understand the consumption.

{{00:01:55}}
There's some amazing off the shelf
solutions all across the conference

{{00:01:59}}
here today that do phenomenal
phenomenal pieces of work that can

{{00:02:03}}
really give benefits and advantages.

{{00:02:05}}
So understand those two pieces
and how are you going to deploy

{{00:02:09}}
and stay out of the jargon.

{{00:02:12}}
And that's how I think you really
make a difference to your business.

{{00:02:14}}
That's what I would encourage
business leaders to do.

{{00:02:16}}
To do is stay outta that jargon
and understand where you can apply.

{{00:02:20}}
Great.

{{00:02:21}}
So Intelygenz has a unique engagement
model and it's really known for

{{00:02:26}}
delivering rapid and measurable ROI.

{{00:02:29}}
So can you tell us more about intelligence
is day zero promise and how that aligns

{{00:02:34}}
with your comprehensive engagement to
set you apart engagement strategy to

{{00:02:38}}
set you apart from other consultancies?

{{00:02:41}}
Yeah, when it comes to those
consumption methodologies of AI, we

{{00:02:45}}
are very much focused in custom model.

{{00:02:47}}
So this is about training models on
your data to answer specific questions

{{00:02:53}}
based on correlation within your data
sets, or generating information based on

{{00:02:58}}
data that you own within your business.

{{00:03:00}}
So that's predominantly
where we're focused.

{{00:03:02}}
Our day zero value proposition
that we talk about is all

{{00:03:05}}
about how long would it take.

{{00:03:08}}
If you started from scratch to bring
the methodologies, the capabilities,

{{00:03:12}}
the technologies, the skills, the
experience, the frameworks, in

{{00:03:17}}
order to start to be able to put
your AI solutions into production.

{{00:03:21}}
Remember, very different that
85 percent chasm of failure

{{00:03:25}}
where you fall from innovation
centers and lab into production.

{{00:03:27}}
How do you cross that?

{{00:03:29}}
They are all the skills that you need
to manage the end to end AI lifecycle.

{{00:03:33}}
And our Day Zero promise is we
will bring that to the party.

{{00:03:37}}
We will bring that to, to
the engagement on Day Zero.

{{00:03:42}}
And that's what's going to accelerate you.

{{00:03:44}}
That's how we get those rapid ROI.

{{00:03:46}}
That's how we get the rapid deployments.

{{00:03:48}}
Because we've been doing
this a very long time.

{{00:03:51}}
And one of the only, honestly, one of the
only companies in the world, I would say,

{{00:03:55}}
have been doing it for the length of time.

{{00:03:57}}
Over 10 years since we put our
first AI solution in production.

{{00:04:00}}
It's a long time ago.

{{00:04:02}}
So that's our Day Zero value proposition.

{{00:04:03}}
It's an acceleration of skills,
capability, methodologies,

{{00:04:06}}
frameworks to get you started.

{{00:04:08}}
You've highlighted some quite
impressive use cases in financial

{{00:04:12}}
services and statistics.

{{00:04:14}}
For example, reducing response times
by 50% with AI driven customer support

{{00:04:20}}
systems, and also lowering transactions
by 30%, er, lowering, sorry, lowering

{{00:04:26}}
fraudulent transactions by 30% Can
you walk us through how intelligence

{{00:04:30}}
identifies these opportunities during
scoping sessions and also how you

{{00:04:35}}
deliver these quite impactful results?

{{00:04:37}}
Yeah, it's a really, it's
a really good question.

{{00:04:39}}
Actually it's a conversation we've
had a lot at the conference over

{{00:04:42}}
the last couple of days as well.

{{00:04:44}}
Because we're very true to what we are.

{{00:04:46}}
We are an engineering AI
implementation organization.

{{00:04:51}}
What we are not is a set of management
consultants and strategy consultants.

{{00:04:54}}
A lot of the time, our clients are coming
to us and saying, I have a problem in

{{00:04:59}}
this area, I believe that AI can solve it.

{{00:05:01}}
That's why I talked earlier about, hey,
it's really important to understand that

{{00:05:05}}
transition of strategy and AI, or the
possible, and bringing that together.

{{00:05:10}}
A lot of our clients bring this to us
and say, hey, we're struggling to solve

{{00:05:13}}
this, I believe AI can help, can you come?

{{00:05:14}}
We start that process of
open session from there.

{{00:05:17}}
We do also understand that we have some
inherent knowledge, even though we say

{{00:05:20}}
we're not management consultants, we
want to be engineers, but we've done a

{{00:05:24}}
lot of work in the financial industry
over the last 10 years, so we have got

{{00:05:28}}
a plethora of track record of here's
what a lot of A lot of organizations

{{00:05:32}}
in your industry are struggling with,
and they become our package solutions.

{{00:05:36}}
They become our go to, and we can
inspire, and we can inject that

{{00:05:39}}
inspiration into our clients to say,
Look, this is where the market is going.

{{00:05:43}}
We don't pretend to be financial services
experts, but we have got a lot of

{{00:05:48}}
experience in where AI is being deployed.

{{00:05:50}}
And we also have something
called our Academy.

{{00:05:53}}
Which, which is really a one day
to three day session, tends to be

{{00:05:57}}
one day more or less right now.

{{00:05:59}}
Where we bring the art of the possible
in financial industry to the table.

{{00:06:04}}
And we start to talk about
what other organizations do.

{{00:06:06}}
And we talk about, about, to
directly to single clients,

{{00:06:10}}
about what is their strategy?

{{00:06:11}}
What are their challenges?

{{00:06:12}}
And how can we match
those two things together?

{{00:06:14}}
And that starts to grow.

{{00:06:16}}
The momentum of here I think we should
be focusing our challenges really here.

{{00:06:19}}
And we've got good maps across,
across the whole spectrum of financial

{{00:06:24}}
services, everything from customer
engagement all the way to backend

{{00:06:27}}
operations, AML, fraud detection, etc.

{{00:06:30}}
And so we can start to bring all of
that map to the forefront in order to

{{00:06:34}}
help our clients understand what is
the art of the possible and where can

{{00:06:37}}
they match that to their strategy?

{{00:06:39}}
Because nobody knows their
strategy better than they do.

{{00:06:41}}
Yeah, that's really cool that you
can kind of create a space for

{{00:06:43}}
that and for those conversations.

{{00:06:45}}
Yeah, that's great.

{{00:06:46}}
So as Intelygenz continues to grow,
especially through your partnership with

{{00:06:49}}
Vass, how do you plan to scale your AI
solutions while still maintaining that

{{00:06:54}}
high level of customization and also the
rapid ROI that intelligence is known for?

{{00:07:00}}
Yeah, so the acquisition by Vass
is being Really pretty instrumental

{{00:07:05}}
for us in terms of, we've always had
the capability, the bench depth the

{{00:07:10}}
experience, the knowledge to go global.

{{00:07:13}}
We've had that experience.

{{00:07:15}}
What we didn't have were the deep pockets
to go and explore those those different

{{00:07:19}}
territories, those different regions.

{{00:07:20}}
Vass has brought that to the table.

{{00:07:21}}
It's also brought the backing of a
recognized brand across the globe.

{{00:07:25}}
And that's helped us with
entering into conversations.

{{00:07:28}}
We've got the capability.

{{00:07:29}}
I've never worried about that.

{{00:07:30}}
We've got the experience.

{{00:07:31}}
We've got the bench strength in order
to go and accelerate that strength

{{00:07:35}}
without any decrease in quality.

{{00:07:36}}
I'm very confident about that.

{{00:07:38}}
And Vass has been a huge enabler
for us to go and execute that and

{{00:07:41}}
bring that talent, that day zero
promise to much more of the world.

{{00:07:46}}
Very cool.

{{00:07:46}}


{{00:07:47}}
So while delivering ROI is a key
objective, what other metrics of success

{{00:07:52}}
factors does Intelygenz consider when
assessing the impact of AI products?

{{00:07:57}}
an AI project and also how do you ensure
that these projects deliver value?

{{00:08:02}}
Super question, because
it's all that matters.

{{00:08:05}}
ROI is what matters, because if we
don't have any return of investment,

{{00:08:08}}
if we have no commercial return, we
have a technical exercise and it will

{{00:08:12}}
not come out of the lab and it will
not come out of the innovation center.

{{00:08:15}}
So ROI is so critical, but you need,
there are different types of ROI based

{{00:08:21}}
on The challenge that you're trying
to address is a customer engagement.

{{00:08:25}}
How are we going to measure that as
part of the process that we go through?

{{00:08:28}}
One, one very key aspect early
in the project we call discovery.

{{00:08:32}}
And in discovery, we make sure
that all of the questions, not just

{{00:08:35}}
technical of what systems do you have?

{{00:08:37}}
What does your data look like?

{{00:08:38}}
What are the profiles look like?

{{00:08:40}}
We are asking the question,
what does good look like?

{{00:08:42}}
How will you measure what good
looks like in your industry?

{{00:08:45}}
How will you measure it in
your, inside your business?

{{00:08:47}}
And we make sure that those target
variables of the AI are focused on

{{00:08:52}}
and the monitoring and the clarity
of those KPIs are clear in the

{{00:08:55}}
technical solution that we deliver.

{{00:08:57}}
So ROI is a blanket term
and it is really critical.

{{00:09:00}}
I'm not going to come away from it.

{{00:09:02}}
Return of investment is, commercial return
of investment is why the majority of the

{{00:09:05}}
projects that we enter into are executed.

{{00:09:09}}
But what that means, you need to be
really clear during that discovery

{{00:09:12}}
process of how am I measuring that?

{{00:09:14}}
What am I putting in very strict
terms of the KPIs of this solution in

{{00:09:20}}
order to know that we were successful.

{{00:09:22}}
And that before we execute
any code in production, that

{{00:09:26}}
monitoring system is put in place.

{{00:09:28}}
Cool.

{{00:09:28}}
All right.

{{00:09:29}}
Well, that's all we have time for.

{{00:09:30}}
But Chris, thank you
so much for joining us.

{{00:09:32}}
This has been wonderful.

{{00:09:33}}
No, thanks for having me again.

{{00:09:34}}
It's been a pleasure.

{{00:09:35}}
Great.

{{00:09:35}}
And thank you all.

My name is Julie Muhn I'm Senior
Research Analyst with Finovate,

and I am here today with Chris
Brown, President of Intelygenz USA.

As we've been walking the floor
of this conference, it's been

amazing to see just the increase
of development in AI solutions.

Intelygenz has been implementing
AI for large organizations,

Can you tell us what you think about
how companies can best navigate

Yeah, there's certainly
a lot of talk about AI.

Even, just in the six months since
we were, is it six months since

And we know that, and
we knew it was coming.

There's a few things actually that I
think organizations can do and actually

I'm going to You know, something I
talk about here at Finovate Fall.

I think the first thing is try
and get yourself out of the AI

Really try to understand where you
can apply AI within your business.

Try and cross match your
strategy, your challenges to

Don't get hung up and leave
that technical jargon.

Leave all of those hype
words to the machine learning

And really focus on What are the
challenges I'm facing in my industry?

What will make a
difference to my business?

And if you do that, I can promise
people from our vantage point of seeing

that over many years, you will put
yourself in a really good position.

Understand how you can consume
AI because that matters.

It makes a difference in your
regulatory position, or what your

constraints are from a legal and
regulatory point of view, or how fast

What levels of customization and what
levels of differentiation you can get.

So where to apply it,
understand the consumption.

There's some amazing off the shelf
solutions all across the conference

here today that do phenomenal
phenomenal pieces of work that can

So understand those two pieces
and how are you going to deploy

And that's how I think you really
make a difference to your business.

That's what I would encourage
business leaders to do.

To do is stay outta that jargon
and understand where you can apply.

So Intelygenz has a unique engagement
model and it's really known for

So can you tell us more about intelligence
is day zero promise and how that aligns

with your comprehensive engagement to
set you apart engagement strategy to

Yeah, when it comes to those
consumption methodologies of AI, we

So this is about training models on
your data to answer specific questions

based on correlation within your data
sets, or generating information based on

So that's predominantly
where we're focused.

Our day zero value proposition
that we talk about is all

If you started from scratch to bring
the methodologies, the capabilities,

the technologies, the skills, the
experience, the frameworks, in

order to start to be able to put
your AI solutions into production.

Remember, very different that
85 percent chasm of failure

where you fall from innovation
centers and lab into production.

They are all the skills that you need
to manage the end to end AI lifecycle.

And our Day Zero promise is we
will bring that to the party.

We will bring that to, to
the engagement on Day Zero.

And that's what's going to accelerate you.

Because we've been doing
this a very long time.

And one of the only, honestly, one of the
only companies in the world, I would say,

have been doing it for the length of time.

Over 10 years since we put our
first AI solution in production.

So that's our Day Zero value proposition.

It's an acceleration of skills,
capability, methodologies,

You've highlighted some quite
impressive use cases in financial

For example, reducing response times
by 50% with AI driven customer support

systems, and also lowering transactions
by 30%, er, lowering, sorry, lowering

fraudulent transactions by 30% Can
you walk us through how intelligence

identifies these opportunities during
scoping sessions and also how you

Yeah, it's a really, it's
a really good question.

Actually it's a conversation we've
had a lot at the conference over

We are an engineering AI
implementation organization.

What we are not is a set of management
consultants and strategy consultants.

A lot of the time, our clients are coming
to us and saying, I have a problem in

this area, I believe that AI can solve it.

That's why I talked earlier about, hey,
it's really important to understand that

transition of strategy and AI, or the
possible, and bringing that together.

Listen in as Chris Brown, President of Intelygenz USA, explores strategies for businesses to effectively implement AI. He explains Intelygenz's unique engagement models that deliver rapid and measurable ROI - in weeks, rather than months. Learn about their 'Day Zero' promise, impactful use cases in financial services, and the metrics of success for AI projects. 