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at inside analysis dot com, Insideanalysis dot com and now here's your host,
Eric Kavanaugh. All Right, ladies and gentlemen, Hello and welcome back once
again to Inside Analysis, the only coast to coast radio show in the US
of a all about digital transformation and the information economy, and folks, I
am so excited to be in Vietnam at the headquarters of FPT Technology and Software,
which is an amazing company. I've spent the last few days getting to
know the people of FPT and the commitment and the dedication. And this company
has a tremendous portfolio of products and services. They have an amazing team.
They're very energized. I got to see an education facility, I got to
walk into a data center. I get to learn all about AI and really
how this company from Vietnam is going to compete on the world stage and already
is and is making some significant progress. And I'm with Dong he is head
of FPT, Americas, the Middle East, and Europe, and so fall
let me just say, first of all, I've been very impressed by the
commitments and by the energy that I see here and I can see from the
leadership all the way through the front lines that people know they're working on important
things. And I think this is a big theme for me priorities. Knowing
what to work on right now is very important because we're in very disruptive times.
AI is very powerful, it's very disruptive, it's very transformative. So
how do you know what to work on and when? What's what's your methodology
for knowing how to focus your attention and how to focus your team's attention.
Oh, thanks for the question. I think it's very very difficult question to
answer, but I think first of all it's very important. And if you
see you already mentioned about the energize of epity people not the epyty, but
also get to miss people. So our average edge is just the thirty two
to thirty three. Wow, So we are in the very energiy for work
and the information now they're very very easy to champ champ for by a lot
of different channel So weird epity uh from the top level now to the bottom
to the people underground. We always have every single day, every single hours,
we always talk about attack of the company. We always talk about how
we can achieve the KPI, how we can support the customer, how when
we can bring value to the customer with a lot of different general communications,
direct communications like this right, all the works play video, newspaper and you
see everywhere on the on the world for example. Right. So that's very
the first very important. We have one goal from the top to the to
the ground. It's very important. The second important thing is that why we
always know where we should focus because we have a lot of good advisors on
the digitlogy sign where we bring not only our customer but also our partner,
our advisory from very different various industry, also very very focused on the channel
in digital. So that's the second second thing that Epithy is trying to do
every single day. And the third thing, not only the people who are
working today, we also invested people who are working for us tomorrow. We
have our own eputy c way we can prepare right for the be soft for
the future with the candidate right. So that's why you can see some grouted
students, thus joy but still talking to you about the AI is still talking
about the cloud. They know everything, right, they already well prepare for
that. That's that's wonderful. So I'm a big fan of cliches of proverbs,
and there's a cliche in English, well begun is half done, and
it basically just means, if you get off on the right foot, you're
going to be very successful. If you get off on the wrong foot,
you're gonna have a lot of troubles. And that's why I'm very impressed by
your commitment to education even K through twelve, so not just university, but
K through twelve. From the earliest days. You're helping the children of Vietnam
understand the importance of work, of ethics, of principles of collaboration. We
watched all the young people doing martial arts, so all the kids have to
do martial arts. And also music, yeah, right, traditional music.
So you're really providing this liberal arts style of education, but with a very
keen focus on technology and business and preparing these young people for the working world,
which I think is fantastic because sometimes education can get a bit academic,
let's say, and that term tends to be associated with a lack of connection
to business. Now, I was a philosophy major. I love philosophy,
I love English, I love music. These really do have applications in the
business world. But you seem to have a very good perspective on the importance
of making sure that these young people have a very comprehensive view of the world
and understanding of the world, but also know their role and their path and
how they can succeed. Maybe talk about that for a minute. Oh,
how do I say custom? I mysel besides the study and a way of
education. I was one of the very first people joining EPITY education systems in
twenty four years ago. When we're very very first that we stop it our
education system, the difference that our education system bring to the student, that
the curriculum is all the way up to that it's always the best in the
world. We bring and we bring not only the teacher, we bring the
coach the real course, right, the people from the world come to our
education system and coach the student, and also we provide the environment that the
student can do the interim. Not only with EPITY, not only with EPITY
in Vietnam, but also with EPITY around the world. We operate operating in
thirty countries and you know, and we have more than two hundreds of is
around the world, right, but not only EPITY territory, also our customer
territory too. So that's why uh, EPITY student and EPITY employee, we
had the same expl in studying, right and uh, well people for the
future. Yeah, that makes a lot of sense. And to work in
so many different countries, you need to appreciate the culture of the country because
cultures are different all around the world. And so you seem to understand that
while you have good principles and technology, you also want to make sure that
you adapt to these cultures around the world. And you seem to have done
a very good job at that. And I'm guessing that these foundational processes teaching
young children about the world around them and their place in it, that's a
big part of your success. What do you think about that? I totally
aqu at the I think one more important besides the environment of studying, I
believe in Vietnam is characteristic we are. We are we have very open heart,
very willing to understand to study the new things, not only in the
tetrilogy, also in the country and epity itsell after thirty five years. We
fire our own way to like siner ze the country. Every single country when
we operate, we're always missing the local people. And also we bring missed
people to the to that country as a pair together people in the local knowing
the language in the country, damist people knowing the capacity, knowing the people,
knowing our strong power here in Vietnam. So two of those guys,
when they come together, they create a great pair and make the happy such
a fool today. Yeah, that's very interesting. Well, and you also
inspire people. I feel that everyone wants to do well. Right. So
there's a Vietnamese proverb I read the other day and I put this in an
article that said empty barrels make loud noises, right. And the idea is
that that emptiness inside results in unhappiness and discord. But when you feel that
you have a life of purpose, then you have a mission and you're eager
to work on that mission. And I feel that is something you've instilled in
your students and in your employees, is that you have a mission and you're
working towards this mission. And even if you get off track, well,
let's have a conversation about that and get back on track. So it appears
there's a great collaboration between managers and frontline workers and that also is a big
key to your success. What do you think cannot deny anymore? And I
think it's one of the very beauty of EPIT culture. And also I cannot
say it's or not, but I see I see that as one of the
very strong, strong characteristic of EPITY, where you're seeing that we have the
saymbol, we have the open mind of communication, very transparent. Uh.
In epity, we are not only talking about the numbers when we're talking when
we when we do the business right, not only KPI. We love to
see how people make the progress because the progress anyway we met the KPI or
made the number, but the why people met the progress. It's more important
for IPT to see how that people can rely on. Interesting that makes sense.
I have a developer friend who has a great quote. He says that
busy is the enemy of creative and you just kind of hinted at that right
now, understanding how so you want to get the key objective. We want
to build a solution and improve customer service for our clients. There are a
million different ways that can be done. Even in coding, there are thousands
of ways that you can write code to solve a particular challenge. So the
key is to foster creativity, to encourage your employees and your partners quite frankly,
to think in new different ways. That seems to be key in your
DNA in how FBT operates, and I'm guessing it really comes from the beginning
when the company was founded and these thirteen founders wanted to do something for their
country. They wanted to do something for Vietnam. That still seems to resonate
through the corporate culture to this day. That's pretty impressive. How did you
do it, quession, because you already mentioned that we found it by thirteen
people, right, really like they adopted They are not the business guy,
yeah, are doing the physical mathematics, They are not busin this guy.
Yeah. But in those days, they already think that they have to watch
something different to the country, to the friends, to the family, and
that spirits still today. They still they still can like keep that along.
Thirty seventeen thousand people employ your epuities just because I think every single day we
still we're still trying to carry that's missing. We are we as eputy.
We're still doing something for this country. We're still doing something for our friends
and our family. That's very very keep up alive and innovative every single day.
Yeah, right, the morale is very high. And you know,
I've heard about the bring your parents to work day, Oh yes, concept,
which I have to tell you I wrote about it and then thought about
it, and I tried to read my article out loud to my family and
I started getting choked up because it's just to me, that's such a wonderful
commitment because parents want to see their children succeed. And when you raise a
child and they go off to work, well, you don't get to see
what they do typically. So you guys kind of flip the script. It
turned it around and have parents work day so they come in and see how
their children are working. I think that is an absolutely brilliant idea because it
fulfills not only the child, but the parents too, so everyone can see
and everyone can kind of feel the energy of success. And I'm guessing that's
been a very successful program. Right. It's very very successful program for sure,
because you means a nobody, right, every parents they want to see
the kids successful, not only in the world, it means they have in
the good hands of manage a woka friends. Yeah, good environment, set
environment. Right. So that's what we try to do, is we bring
parents to the company and sew them not, hey, your kids is in
the good hands. And this was very very suchul for me for myself.
If you if you want to see the people really happy, when really crying,
the happiness that crying. Yeah, you come that day, you can
see a lot of happiness crying. That's cute, you know. I want
to talk quickly about competition and how Vietnam can compete with countries like India,
for example, which have many more people. But just like just like code,
you know, sometimes I see companies try to qualify their work by the
number of lines of code that they've written, as if that is a metric
for success, when in reality, you want as little code as possible.
You don't want lots and lots of code. They call that code bloat as
a term that's used, which is just we have fast processors now, so
we can be lazy in our coding. So I don't think number of lines
of code should be a metric for success. It's really performance, and so
size of country or size of team should also not be a measure of success.
It's the results that you get. And to me, chemistry is the
most important thing you need. Of course, education, you need ethics,
you need principles, but chemistry and when people bond together, just like in
chemistry, amazing things happen. You have hydrogen and oxygen by themselves, they're
gases. You bring it together and find that's water. That's a very different
thing. So I think you have good chemistry here, and to me,
that's going to be a key to success in the future and competing with bigger
companies, because bigger isn't always better these days. In your chairman set of
today, it's faster time to market. That's what's most important, not necessarily
cost or size of team. So it's really the collaboration with the client,
being able to leverage the right technology in the right ways and to do that
quickly. That's going to be the key to success. What do you think?
I do agree? I do agree. I think you mentioned that opting
in your question. First of first, upon the proactivity lie. Of course,
already over right, we don't talk about that anymore. Now we're talking
about the digital transformation, and we all understand that digital tranformation doesn't mean to
me to do the big thing, right, it's start from very small thing
but some impact right, right. And that's why Epuity nowadays we were so
confident that we can compete with owns as a good player in the market because
we are all have the same start right, same starting point right, not
not like legacy system on very old system. Right. We are young,
right, we are ten thirty five years of compty five years old company that
you want compare with as us. And when we compare with as a company
on the legacy system, we are not good at at them. But now
now everyone have the same starting point on the digital right. And Vietnamese people
very very great. But the mathematics and the stamp and the coding, yeah,
and we have willing to learn about the language. Even my list is
not good, but I'm still chrying, right, still saying that. And
that's why I think with the chemical of the corroboration between that Vitnamese people and
client, one does really understand. Okay, the problem we've sown today,
but a lot of impact tomorrow. And that's why we believe that we are
with the same starting point with all others. That's great final question, because
we're almost at a time here. I have this theory I've been throwing out
and I like it more and more. I'll be honest, and that AI
in general represents a second chance in many ways, like for data. It's
a second chance for data. And what I mean by that is we've spent
forty years now access seeing data, aggregating, organizing, trying to analyze data.
But these new foundational models can do things in completely different ways that are
very, very compelling and very salience. I guess is the term I would
use. So in data warehousing, we spend all this time and effort moving
data around. If you think about logistics, it's a tremendous amount of work.
But now with these new foundational models, there are other ways that we
can get signal, There are other ways that we can be much more lean
and efficient about doing things. So I think this AI transformation, this is
not a small change. This is a very significant a step change, as
they say in chemistry. So you seem to understand that at FPT, because
you're investing heavily in AI, it's going to take some time. But I
think that AI is in and of itself representative of the biggest change we have
seen in technology and in how we do business, probably in our lifetimes.
What do you think? Can I cannot agree more right because in Epity were
already invest in AI for the more than almost tangious when we start to invest
the II and last week you hear, we already announced that we'll invest in
lending AI and become the major investor for lending AI. And with us,
we're seeing AI as the enable for all the all the industry where Epuity with
our partners like Lending Ai and some more we come for sure we can provide
a lot of like the tool, a lot of understanding in the industry to
have to support our customer in the digital tranformation very very quick. Well,
this has been fantastic. Thank you so much for your time. I'm very
impressed by what you've built. And I love that your chairman talks about selling
Vietnam more than selling FPTS is selling his home country. Your home country,
and people should be proud of their country. Wherever you're from, you should
always be proud of your country, and you get that, and so thank
you for your time. Thank you well. Good. Thank you. All
right, folks, we'll be right back to Welcome back to Inside Analysis.
Here's your host, Eric Tabanaugh. All right, ladies and gentlemen, back
here on Inside Analysis. And I'm very pleased to be with Frank Viignon.
He is the head of Digital Transformation for FPT software for FPT and these are
transformative times, Frank, So let me throw one of my theories at you
and see what you think about this. When I look at artificial intelligence,
not just jen AI, but AI as it stands today, in many ways,
AI represents a second chance for data. And what I mean by that
is we've spent so much time over the last forty years accessing data, organized
data in data warehouses, now in data lakes, and all these efforts are
made to put data into a particular place and then do analysis on it.
And I think those doors are being blown off right now. If you look
at these foundational models and how they work, they have a much different mechanism
of action of like pulling together information. Like my buddy Ray Wang said the
other day, he said, don't think so much in terms of static architecture,
think in terms of flow and fusion, really, because what they're doing
is they're taking your prompt and they're going off and doing things and then bringing
everything together, fusing it and then giving you this answer, right, And
it's generative. It does have hallucinations they talk about, but nonetheless, I
think this really is a major inflection point that we're seeing right now. And
people probably are the biggest hurdle in terms of leveraging this technology because of old
mindsets of how we thought of doing things. But there are wholy ways of
doing things now. So the question is how do you, in your job
help your clients understand how to leverage these new technologies to do interesting things in
whole new ways that are much more efficient, much more compelling. Maybe not
as transparent as we might want, and that might be one of the sort
of shadows that's lurking out there. But how do you explain to your clients
what's possible now and how to get there? That's a big question and very
difficult questions sometimes. So one way that I'm Jeni, let's talk about Jeni,
which is a like's the thing that's a hot topic today. One way
that I'm looking at jenin and trying to explain it to the very simple what
the people And I got this from one of my good friends. So that's
working in the domain. Is that look at Jenei as one intern in your
company. Yeah, right, that's is on steroid. So basically you can
ask him everything about summarizing document very quickly. You came to find to do
research inside all data, you have answers. You can ask him to try
to take so the key point of some information, but you cannot ask him
today to take decisions. So you can prepare everything like a very good intern.
You will be able to prepare everything to do all this research for you,
to summarize, to aggregate, to got all this huge information for you.
But at the end of the day, still you have to be the
one to take the decision and you have to direct it. As an intern,
you have to direct the intern to the right things. So if when
I'm summarizing this and I have some customers that I'm telling me, okay,
my CEO asking me to find the use case of generative, I tell them,
look, what's the problem is knowledge management? Is it to take decision?
Is it to understand what he's ready inside all data and so and try
to think, okay, I have this super steroid in terms, how can
you use it right? How do you interacting with your team? And then
we the use case. Yeah, so this is when I'm trying to simplify
at the extreme of course, this is how I'm trying to engage with Yeah,
makes sense, that makes a lot of sense. I think that's exactly
right. And you have to play with this stuff. So I was interviewing
the CTO for a company called Boomy a couple of months ago, and he
came up the greatest answer for something. We asked him, like, what's
going what's the big thing to understand about machine learning? And he said learning,
meaning us humans, we need to learn, Like, all of a
sudden, we have this incredibly powerful engine to leverage and we're just learning now
about what it can do, and it can infer all kinds of things.
It's really quite markable. So to your to your point, it is the
new hyper capable digital assistance for any part of the business, right, just
learning how to do things, when to do things, what your possibilities are,
all this stuff. So it's like this really remarkable collider scope of ideas
that we can now leverage. Right. True, that's true. And one
thing that I see that today we not still explore. So it's really what
people are viewing with the multi modern models. So when you start to bring
us all the image aspect because today, for example, you can do things
like you show a picture and you can ask them do you know the city?
And it is time we tell you this city? And you can uh
so, oh yeah, yeah, what's something that people are working quite it's
many many years. But now with generative it's crazy. Here you can show
some invoice and tell and ask the GENERITIVI, I do you know which is
which applier is it? And they will tell you which appli is it?
How many things has been older and it will So the generative I would be
able to analyze, to summarize, contextualize the information that before a classic algorithm
you needed to train them and so and this noise the most forthfrint. So
the the link between these multi models or using text but also image is bringing
a lot of new opportunities that are accelerating a lot of things. I had
a very interesting example that was shown by one partner. It was about customer
center to analyze voice and on the voice, so the costome center people some
are calling talking about some semi season so on, And this was in Vietnamese
and they were using some translation tool to automatically to answer this in English.
Yeah, if you look at the translation, the translation is impossible to understand.
Yeah, because the English transation walks sometimes not right. Then they put
this in the generatively agu yeah to them, Okay, what is the what
is the topic of this conswer this discussion? But they put a translation that
if you're reading in English, you don't understand. And then the generative I
was telling the Okay, this is a customer asking for this, this is
the answer. The sentiment is correct, consumer is a p and so on.
So understanding even things right is able to con sexualize even things that use
a little bit to use less for human Yeah, and this is quite powerful.
It is very powerful. And your chairman talk today about the importance of
time to market and speed to change, and we are going through this tremendous
transformation right now. But when I think about legacy systems and legacy work processes,
legacy mindsets, that's probably one of the biggest hurdles to get over.
But to your point, I mean, if you can solve these problems like
customer service, so much faster. Using jen AI, you don't have to
worry about all the old connections that we used to have to make. We
would connect your CRM to the data warehouse, the data warehouse to an old
app cube and then do the analysis there. There's a lot of latency through
those processes, and I think that's why this AI represents a second chance for
data, a second chance for processes, a second chance for kind of everything.
Well, I freely agree with you. I think that through this AI
and through these Jeni things and so which we are seeing nose that we are
democtizing if we can use it like that's this analytic space where ITA's no longer
dedicated team, very highly skilled, highly technical that can organize the data.
And it's why I also have the a team that we give the model and
so you can give this back to the business fuser because if you do it
well twenty well and so at the end of the day, it will be
the business user that we ask the model for this in turn. Right,
Okay, what is going on? Okay, this is happening. Can you
tell me what you're thinking about the data? What do you predict for my
finance in the next five months? What do you think is the variables that
are impacting my DNL and so right, and this is today really all these
democratization of how you navigate interact with your data. That is quite interesting and
that we bring us quite a lot of business opportunities and how we are trying
to educate and help us ACUSTE. Yeah, that makes a lot of sense.
And you think about how you're collapsing time to market and I think one
of the biggest challenges going forward will be understanding how to have empathy for your
employees and for your partners and really shepherd them through this transformation to be able
to use these new technologies, because most people are afraid of change, right,
especially you get a little bit older, you get set in your ways.
You don't want to do things in different ways. But everyone can change,
and you do change and then the change is good, right, once
you've figured it out. And that's really where we are today, right.
This is it is so transformative, but it's so rewarding too. I mean,
if you can get to this, think about how much time we've spent
in the traditional analytics world to get to one little question at one answer.
Now we can get more answers and context and plans. It can give you
a plan for how to do things too, right, So it's creating the
ten ex employee out of anyone who uses it right. True, True,
I think that's quite correct. And my personal point of view in order to
bridge a little bit is fear of transformation. People will have to invest quite
a lot on the experiments that you will give to people. Interesting because you
don't need to level it genetively. You don't need to say that if you
build, if you give to the people a very good digital experience, let's
put it like that, the digital experience that they don't feel that it is
how can I say threatening what they are doing today and that is bringing good
value for them. They don't care what is behind right, and they will
be very happy to use it. That's very interesting. So for me,
and this is what we're developing in our team. In our team, we
have part of our team that is really focused on what we call digital experience
will help. So this is the people side. So we call this desire
ability. We have to make people desire that kind of solution, desirabit.
So if they desire ready to use it and they have a very good digital
experience, they will not look what is the technology? Beond right, and
they will adopt it very quickly. They can change without changing, right.
That's very interesting. You know Confucius has this great line where it says a
journey of a thousand miles starts with a single step, right, And you
seem to understand that at at FPT, I hear this reflected in the language
as the executive's talgged, as the staff members talk to me. I hear
that there is an understanding that you can only go so fast as a human
being, that these machines can go faster. But really a human can only
run so fast, right, You can only run so many hours a day.
And we want to have the so called work life balance. We want
to be happy, right, and I actually have. I wrote an article
about this after the first day here that happy that I believe this for years.
Happiness is the ultimate metricure as a human being, because if you're happy,
everything's fine. If you're unhappy, then something needs to be fixed and
then you have to figure out what it is. Tryline, is it word
of life? What is it? Right? But the key is that you
do you can make progress in steps and incremental steps, and that yes,
I think it's going to help as at me happy. So if you know,
okay, I'm getting a little bit better at this, getting a little
bit better at that. And you seem to really understand that. So when
you engage with clients, I'm sure what you're doing is you're sort of assessing
what is the big picture where they're going, what are they trying to do,
and then you start picking off little tiny things like let's improve this one
part of your website to get a better customer experience, to get five percent
lift or something, and that seems to be baked into the DNA of the
company. Can you talk about that for a minute. Yeah, no,
no, I can talk about that. Uh. Personally, I love Ike
Guy, So I'm or so I know if you know Ike Guy. No
Ike Guy is is a so far Asia. So I lived now twenty years
in Asia. Okay, I used to be based in Japan. Your phone,
so, Ikey Guy is how to have a purpose in life? Oh,
I know, you bring up happiness with the purpose in life. Yeah,
it's a Japanese philosophy. And I think that all these concepts of happiness
and so on in the Asian cuture is quite important so for example in apetity
software with KPI on appiens is quite important. And how to bring this to
the customer today we have an engagement model when we're designing new solution. So
everybody know what is a design thinking that people a customer some trick what we
call it. People and data some trick. Okay, so people some trick
because we want other people happy to use what they want that what we're build
for them. And data is some trick because we know that at the end
of the day, information is very important to build most of the application,
especially when I'm transformation while everything is digital, so digitally will have these data
and oh, I would say an engagement model or how we are training or
how we are discussing with a customer is very viewed around that. So how
can we have something that has against all this desire enough application, so this
desirability and at the same time, how can we bring the latest technology to
have to achieve this as fast as possible and blending all this experience making the
people happy on how they are using that and that if pill also this he
had the purpose in life, for their business, for their coworker, for
outside and so bringing mixing all that into the design and solution for us is
quite important. And this is where we are maybe a little bit different than
other because we are mixing this kind of design so people some trick classic architecture,
solutioning and so on stream. When we're designing solution and when we're discussing
you have this problem, let's look at it. How many people part of
your business, point of few, technology, point of you. So we're
mixing all that to achieve this kind of Yeah, I will say happiness purpose.
It's a holistic approach, and you really hit on something very compelling I
think with this aspect of desire and desirability, right, because you know,
like a mask to a flame, right, the moth wants the flame and
so it flies at the flame. And people are the same way. So
what you're trying to do is create the carrots basically to get folks to move.
And you want, you know, you do need to stick now and
again, but really the carrot is much better than the stick, right,
because no one likes to be reprimanded, no one likes to have their wrists
slapped. But don't like that said, we want to understand ourselves and that's
the other powerful thing about AI is that it can scan all of your emails
and then reflect back to you your key themes. What do you like to
talk about, what do you like to do? This system can tell you
that, So you have to have your mind open to that. But I
think it's a very positive development because now we have this remarkable, highly focused
mirror that we can look at ourselves, that we can look at our organization,
and that to me is going to be a central component of transforming your
business and your people. What do you think now? I think that's quite
correct saying it does some It has some questions, a medical questions on that
privacy. It's a quasion on what kind of information information you can share and
so on. But today we have engine so that can help us to really
highly customize any experience because they will know us better than anybody else. This
can be anonymous. You don't need to share very private information. It will
not despite information, but in the customization that your user interface. Let's say,
for example, you prefer green colors, so everything will adapt immediately would
be green, right, It will only be communicated to you on your wildfloon,
will not be communicated to anybody else. So we can still keep also
all these privacy so this responsibility right and having something that really will please all
the different users, integrating all these information. So it can be done on
the human levels for people, it can be done on organization level. Okay,
this organization, we are working very well in this kind of model.
When you interact in your humanisces, this is what we see. We see
the people that are not help you. Look, be careful that we have
to do that. And so can we work on a business level because customers
they prefer to interact with you in the show online. This is all so
all this kind of right, I mean, you can look at from a
very different perspective, right, and all this will help you. I mean,
this new way of engaging with data information will help in fact to customize
your experience and also to bring new ideas on how you can be better.
And maybe they look even new business new innovation. So yeah, that's fascinating.
And let's let's maybe have a final question on that topic, because you've
kind of talked about a couple of times privacy regulations and things of this nature.
And I can talk about the stuff all day, but I think every
company is going to want to have their own proprietary model that they build,
right, and I think that a big part of building out your model,
it's going to be these embeddings as people talk about it, and I've thought
a lot about this and what embttings are and really to personify embeddings, they
are memories, They're what you've learned, right, and so children from the
very young age, even from in the womb, they're absorbing all this information
and sounds and experiences and that those are your embeddings as you grow up.
Right, That's why you want to have a good education. You want to
have good role models to look up to, so as we train our own
models. And of course you're going to have your choice. Do you want
to use Microsoft, do you want to use Amazon? Do you want to
use some other company that comes along Mosaic and l data breaks for example.
There are lots of these different options. But I think that the movement forward
will be around an AI model and that companies can then very carefully curate which
data they want to put into these models to create it over a period of
time, and then that is going to be the beating heart of the organization
in the future. What do you think, No, I the analogy the
building Earth is quite a good one. What I see today is that all
the big service providers or the Asia, Microsoft or WS and so on,
they're very conscious on that. And that's why, for example, quite recently
it was in this summer, Microsoft released their Enterprise Services for Open Air,
which means that as a company, you are a dedicative private space. All
the training that you are doing in this pirate space that you manage, nobody
else even Microsoft don't have access to it. And the model you all the
IP, you own everything, right and this as you are building, are
educating this model with more and more internal IP. Basically it becomes our IP.
And it would be a very strategic IP for all the companies to the
right because it will know your best, your people, expression and so on
and so right. So today we had company where the IP was mainly what
my product design, my customer least for my sets and my human resolcies and
my finance. And slowly we have the IP which would be a little bit
of entire lines and we'll be this AI model. So this bright life's hurt,
right, We'll become my IPO. So yeah, yeah, I think
that's people we fight on IP yeah, I think that's right, and you
just kind of expand on that. You have done digital marketing for many years
now, email marketing. The challenge, of course is that people change and
preferences change, and so you're never going to get there right. It's always
going to be a journey. You're always going to have to learn to pivot
and market conditions and all these things are going to come into play. But
if you think about just took back to the analogy of data warehousing and how
we spend so much time moving all this information around just to get it somewhere
to analyze it, I think a lot of that is out the window really
with these new models because you don't have to do that anymore. Now we
can reach into all different plays use it together just like that. So it's
like, well, a lot of time and money is going to be saved
in that realm. But what's so fascinating to me is like omni channel.
When I first learned an omni channel, mean, I was like, oh,
it doesn't sound good. What is that all about? Like, oh,
you have direct messages on Facebook, on LinkedIn and everything. For a
machine for an amdel to pick that up, it's pretty easy. To see,
oh the activities over here. This person likes to open emails between nine
am and ten am and then they don't do much until two pm. So
if you can optimize that, wow, you can make a huge impact on
the experience for the partner, for the customer, for even the auditor or
whatever else. That's the future, it seems to me, is true personalization,
which is developed by training your model on your data, on your business
model, on your people, and that's going to fundamentally transform how things are
done. I fually agree with that. I feel agree. That's so they
see a big transformation or disruption even not transumption discription in how company will operate
in the futures. So we're talking a lot. I mean, one of
the big trend was all this robotic process automation. So sure, this for
me is the prehistory of automation. What we see now with this genei an
advance Moll Dave, We'll see a new wave, new wave on how you're
operating the company by having a kind of so we take an analogy the bidding
earth of the company that will help you to automate everything, customize it,
personalize it and in a constant planning look, being able so to adapt if
there is some big event that you did not plan that will happen, and
being able ready to help you to run all your own your operations and as
much as possible without even how can I say, bringing you a discription,
but how the people are interacting with the system, so they may even not
know that that the when they're talking, they're sending an email, for example,
to the human resources Okay, what would be my pay next week?
Or can you give me the letters balance sheet of all my working days or
every days that in fact behind is this model that is answering them at the
end of the day. That's amazing. I think it's very amazing. We
are I think we're in the at the right time, right moment, see
a lot of benefit and people taking care to a little bit of ethics things
and so on. There is no limit today on how we can see and
this disruption. It's quite a dissing because it's not touching things that are things
that we're thinking is difficult. I mean, it's touching that we think it's
difficult to do I cognitive might uh thinking and so right, I know we
can see that the machine can help us for that, right, and just
intact we does like we're in tactem remember that people, Right, Yeah,
that's amazing. Well, we've covered a lot of different topics here. Let
me throw one curveball at you just to see what you think about this.
So the other theory I've got is that AI will soon also largely take over
judicial processes. Right now, when you follow a lawsuit against someone, a
civil suit, it's incredibly painstaking, it's incredibly long. But again, machines
can do this stuff faster. And I think that you're going to have the
opportunity to go with an AI model, an AI judge, or go with
a human judge and a human jury. And the AI, I think is
going to be better at adjudication than people and juries because that system is so
slow and so stilted and just so oh, I don't know right with loans
that I think we'll build a solve a lot of that stuff much faster with
AI. But what do you think, Oh, that's a very difficult question.
So my personal point of view is that again taking this anology of the
internal steroid for for all these legal things, the AI will help a lot
a lot on how to do all the administrative things, how to do all
the research, all the research, all the PaperWorks, and so I still
believe at the moment I did not see yet, but I still believe that
on the the point of negoshasting, so everything is around the Nego Stasi,
this will still need interaction between human because there's still a part of empathy.
Yes, that is important. I don't want to look like at the miniority
report movie can predict that the people I like to I like to I'm a
humanist. Yeah, so I'd like to believe that we can see a viewman
in the group bring this compathy. But on the other hand, everything that
is ami strategic PaperWorks, research look in the same case and so on.
To build your case this I think I will totally disrupt how to the lawyers
are working and if you look, most of the time you spending. But
yes, yes, I think that's exactly correct. Well it it's been an
absolute pleasure talk talking to Frank Pigon. I can see why you're the head
of Transformation that this amazing company. Thank you so much for you, Thank
you very much, thank you for the discussion. By folks, We'll talk
you next time. Bye bye. Now you can listen to casey AA radio
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time in nineteen sixty three. Let's take a look at ABCTV. On Friday
night, ron cochran with the news, followed by Cheyenne The Flintstones, Dickens,
He's Fenster. That's about two handyman's during Marty Ingalls and John Aston seventy
seven Sunset Strip, followed by the Third Man sent Sunset Strip seventy seven Sunset
Strip, seventy Sunset Strip starring e from Zimbalist Junior, and from this time
in nineteen fifty seven, Paramount Pictures releases Zero Hour, a movie starring Linda
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right now. And back to No. November of nineteen seventy one, the
grassroots are back with another big hit called two Divided by Love two Side Baby
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ninety eight two three one ninety seven. We might expect that corporate billionaires and
coke funded Republican right wingers would be how at the moon opponents of a wealth
tax, medicare for all, and other big progressive ideas to help improve the
circumstances of America's workaday majority. But Democrats unfortunately, yes, not grassroots dims,
but a gaggle of don't rock the corporate boat freightycat Democrats. Naysayers are
the party's old line polls lobbyists and other insider elites who are now screeching that
Democratic candidates must back off those big proposals. Why because they squawk, being
so bold, so progressive, so well so democratic will scare voters. As
one meekly put it, when you say medicare for all, it's a risk.
It makes people afraid. Excuse me, But in my speeches and writings,
I say medicare for all a lot, and far from cowering, people
stand up and cheer. In fact, the New York Times has just reported
that eighty one percent of Democrats and two thirds of Independence support Medicare for all.
Even apple Pie doesn't score that high. It's simply a lie that the
people are afraid of the idea of everyone getting public finance healthcare. So who
really fears it? Three special interest groups, insurance company profiteers, big farm
of price gougers, and the political insiders who are hooked on funding from these
corporations. This Jim Hitar saying. Not only is it a pusilanimous fabrication to
claim that the people oppose any changes stronger than corporate minimalism, it's also political
folly. If the Democratic Party won't stand up for the transformative structural changes that
America's middle and low income majority clearly wants and needs, why would those people
stand up for Democrats? As the twenty sixteen presidential election taught us, a
whole lot of the working class Democrats. The party counts on, won't.
I'm Rick Smith, host of the Rick Smith Show, inviting you to listen
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to eight one five nine nine ninety eight hundred. Welcome to isla earth easing
Fossil fuel dependence involves more than energy effishing cars and light bulbs. It also
involves tofu. That's because scientists at the US Department of Agriculture are creating new
plywoods the ditch petroleum based glues for plant based glues, especially from soybean paste
or tofu. Lead researcher Charles Freihart says tofu glue is as strong as petroleum
based glue and can be cost competitive, so new variations of tofu glue are
currently in development. The glue is actually old technology a century ago. When
plywoods inventors first sandwich wood together, they used glues from plants, mainly soybeans,
since that was the strongest glue available. But in the nineteen thirties,
petroleum chemists developed cheap oil based glues and soybean glue disappeared. Then health concerns
drew it back. Petroleum based glues can release toxic gurea from aldehyde, and
research revealed the compressed wood products had become one of the leading causes of indoor
exposure. Freihart says environmental concern is one of the factors that renewed interest in
glue research. For this reason, many states and even the federal government regulate
wood products made with your rear formaldehyde. That means there's a growing interest in
TOFU glue, an idea to stick with. Learn more at isi earth dot
org. Is Isler Earth is recorded on the campus of California State University San
Bernardino and produced by the Catalina Island Conservancy because Earth is an island listing the
KCAA Lomolinda at one O six point five FM, K two ninety three c
F Brino Valley, NBC News Radio. I'm Chris Gragio, the Chair of
the House Foreign Affairs Committee, says, in exchange of Palestinian prisoners in Israel
for hostages held captive by hamasas under intense negotiation, very sensitive negotiations with the
cutarees. They're kind of the lead broker, if you will, this negotiation.
Speaking on CBS's face the Nation. Texas Republican Mike McCall stopped short of
saying it would happen, but said he believes that's what Hamas wants. McCall
added that a ceasefire is impossible without the release of