0:12

Good afternoon , good morning , good evening everyone . This

0:14

is Scott LaFontaine , your host for

0:16

Innovate with Ludia . Today

0:19

, I have another special guest

0:21

from Ludia Consulting as

0:23

part of our Community Summit lead

0:26

into or leading into

0:28

Community Summit , however you want to say it and

0:30

it is the CEO and co-founder

0:33

of Ludia Consulting , mr Lucas

0:35

Diaz . Lucas , how are you today ?

0:37

Hey Scott , Great , great

0:40

. Thank you for having me . It's fantastic

0:42

being here . Good to see you .

0:44

Nice shirt , by the way and

0:48

I got the , I got a . I'm matching today . I got

0:50

black goes with green and

0:52

then I have on khaki shorts . So

0:54

it's you know , it's typical florida yeah

0:57

, that's awesome .

0:58

Make sure you don't walk by any green screens or anything

1:00

like that . You're going to disappear .

1:03

Right . Well , I felt that you know , with

1:06

everything going on and

1:08

really Community Summit a

1:10

little over a month away , so

1:13

lots happening between now and then we

1:16

couldn't have a Innovate

1:18

with Ludia podcast on without

1:20

having the

1:22

Mr Lucas Diaz , especially

1:25

with everything that you've

1:27

been doing with the community

1:31

and all of the involvement

1:33

within Community Summit

1:35

in and of itself , with the sessions that you're

1:38

having .

1:39

Yeah , yeah , absolutely . You know , this

1:42

year has been incredibly transformational

1:44

because AI has

1:47

been around for a long time , but I think this

1:49

time it came into our doorstep with

1:52

regards to what's capable , what's

1:54

possible , what everybody's doing , microsoft's

1:56

direction and things like that , and

1:59

it's been incredible because it's transformed

2:01

our company . What we're doing is transformed our

2:03

customers , what they're expecting and

2:06

also the technology that we use every day , right

2:08

, so it's had a profound impact

2:10

. So it relates to Summit

2:12

in a way that we have the pre-conference right

2:14

. We're going to be talking about VIXO how

2:19

it was , what is it ? Where are they now ? Type

2:22

of story , what did we learn , what was good , what was hard

2:24

? Where are they now Type of story ? What did we learn ? What was good , what was hard ? But

2:27

also in the sessions afterward , talking

2:29

about the maturity model and how people adapt

2:31

or incorporate AI .

2:33

So , yeah , yeah , yeah

2:36

that's exciting , yeah , and I know , especially

2:38

for those that are coming in on

2:40

that Sunday for the pre-conference

2:42

, on that Sunday for the pre-conference

2:44

. So you have that pre-conference AI summit which is

2:46

, I

2:53

believe it starts at 8.30 in the morning and it ends at 5

2:55

central and there's all these different sessions throughout

2:57

I guess I would call mini sessions throughout that day , and so

2:59

the nice thing is is that you're

3:02

at two o'clock central , which is

3:04

perfect for those that are getting in , maybe

3:07

sometime in the , you know , sometime

3:09

in the morning . You know , give some time to

3:11

get some coffee , get some food in and

3:13

then really dive into . You know

3:15

what AI has done

3:17

with VIXO and the journey

3:19

and the transformation and , of

3:21

course , the trials and tribulations . Right , because

3:24

we all know , as in our own personal

3:26

lives , and even you know me

3:28

building co-pilots for you know

3:30

ludia and building them for others . It's

3:33

it's a trial by process

3:35

yeah and

3:37

and it's evolving so quickly

3:39

and then all of a sudden , you , you turn

3:42

and you or you blink and something new

3:44

is there , or

3:51

something that you were using before is no longer there because it's been replaced

3:54

by something else , but it has a profound impact on what you've

3:56

already done , and so it's definitely a fascinating

3:58

area and really exciting about

4:00

the AI pre-conference

4:03

because of how much

4:05

it's evolving and how quickly it's

4:07

evolving . I don't think I've ever seen any industry

4:10

or any area evolve as quickly

4:12

as AI .

4:14

Totally . You know , what's interesting is that at first

4:16

everybody's like , ah , it's going to take our jobs , it's going

4:18

to do our jobs for us . In

4:20

reality , I don't see that as the case

4:23

. I think in reality it's an

4:25

agility factor , it's a tool . So

4:28

back in the day it's like there was fire

4:30

the wheel , computers , internet

4:32

, now AI . It's one of those accelerators

4:35

of productivity that is just going to change

4:38

everything . But yeah , it's

4:40

evolving every single day . It's

4:42

pretty bizarre , but yeah , it's

4:44

fascinating . We can talk about that all day

4:46

, mr Scott .

4:47

All day . Exactly , and that's what Raz

4:50

and I I call Kevin Razavi

4:52

, he now goes by Raz . We

4:54

were talking about that on the last session

4:57

and how it's just another

4:59

tool for the frontline worker

5:01

and their tool belt . It's

5:04

not replacing technicians . Ai

5:06

is not going to go and drive a vehicle

5:08

and get out of the vehicle and go fix some

5:10

complex machinery . But what it can

5:12

do is it can give you additional

5:14

tool sets and analytics and insight

5:17

into what may be the issue or

5:19

how to resolve the issue .

5:21

Yeah , it brings agility . That's one of those

5:23

things Speaking around

5:25

the session , right ? So we're going to have the AI

5:27

pre-conference . We're going to talk about what

5:30

we learned . So one of the cool

5:32

things and I think Bobby said

5:34

it best the other day and

5:36

it was about not the

5:38

precision but

5:40

about the results that

5:43

AI brings . So , interestingly

5:45

enough , ai is a non-deterministic

5:47

engine , so it will give you two answers

5:49

that are very similar . They're both correct

5:51

for the same question . So

5:54

it's not about being precise and being

5:56

correct . It's about bringing the results

5:59

that you expect right , and

6:01

so having that expectation and so

6:03

on , and the boundaries that are associated with that

6:05

. That's , that's something new , right ? Configuring

6:08

dynamics or consulting is very

6:10

kind of black or white . Either it works or it doesn't

6:12

. This is , yes , it works

6:14

in 10 different ways or responds

6:16

in different ways , and so we're

6:19

going to talk about that . And then , on

6:21

the other session , you know , mastering

6:23

the AI maturity model

6:26

we talk about just how

6:28

do we go from stage one

6:31

from some chat GPT all

6:34

the way through right Like some

6:36

super mature .

6:37

Yeah , it kind of reminds me a little

6:39

bit of that back in the

6:41

day and I'll be talking about it in one of my sessions

6:44

. Is the field service maturity model

6:46

right , going from your reactive to uber

6:49

proactive with machine learning and

6:51

things of that nature ? It's the same sort

6:53

of concept with AI right

6:55

, and we have a lot of organizations

6:57

that are somewhere

7:00

. Some of them are at that beginning stages

7:02

, some of them are in the middle , not many

7:04

are , you know , towards that , the higher end

7:07

of the maturity model ?

7:09

Yeah , absolutely , and so it's kind

7:11

of interesting because you have to realize as to

7:13

where you are , where your

7:15

systems are , where your processes are , what

7:17

your results you're expecting to get out

7:19

of it . And how do you test AI ? How do you test

7:22

it , what

7:24

is correct and what is sort of correct

7:26

, and also how do you improve it over time

7:28

. There's so many considerations

7:31

, rather than just say turn it on and

7:33

call it a day . I mean , you could with M365

7:36

, right , it just comes embedded , but that

7:38

is very different . There's

7:41

an agility tool . We call it Clippy on steroids

7:43

. It's

7:45

just Clippy , just gone AI , but

7:50

now it's . How do you get your processes

7:52

to produce something much more meaningful

7:55

cross-platform ?

7:57

Well , it's sort of like the AI training

7:59

that I'm building for internally and one

8:01

of the things that is

8:03

funny , as I was building out the training , is like

8:06

garbage in , garbage out

8:08

yeah or garbage or

8:10

or or terrible question asked

8:12

is going to produce a

8:15

terrible response , potentially right

8:17

, so some of it is . You

8:19

have to be prepared to your point , like the data

8:21

and the systems , and then , of course , looking

8:24

at it from your end users

8:26

. How are your end users going to trying

8:29

to predict how they're going to ask

8:31

and ask ai

8:33

a specific question

8:36

to get a response ? Yeah

8:38

, because everyone asks

8:40

it quite differently . I mean , you just

8:42

got it , doesn't mean you have to get it . So precise

8:44

to Bobby's point , but

8:47

how do you get the meat of it so that

8:49

AI returns the expected

8:51

results time and time again

8:54

?

8:54

Yeah , yeah , yeah , and so we're going to talk about that

8:56

a lot in the summit , right ? So

8:59

, again , we're going to be there in the booth , we're going

9:01

to be there in the sessions , we're

9:04

going to be there in the booth , we're going to be there in the sessions

9:06

, we're going to be there potentially at the keynote as well . We're going to talk

9:08

about . You know , there's other areas

9:10

to Ludia , but AI

9:12

is a big part , so look forward

9:14

to having many discussions there .

9:17

Yeah , no , absolutely . And

9:19

so the interesting thing is , I was looking at your schedule

9:21

so you have your

9:23

pre-conference on Sunday

9:26

and then your Monday . So

9:28

Lucas has another session Monday , the

9:31

14th , from 2.30 to 4 . So

9:34

it's a really good one . On navigating

9:36

the AI landscape , the

9:38

AI journey and the AI

9:41

maturity journey , I should say , and

9:43

that's in location 209 . And

9:45

it really is meant for those

9:48

folks that understand

9:51

at least what I'm getting

9:53

from . They understand what AI and Copilot

9:55

is , they understand , but they're in that

9:57

kind of that limbo stage

9:59

of , okay , we know what it is , we know

10:02

kind of what we want to do . How

10:04

do we get there ?

10:07

Yeah , absolutely , absolutely

10:09

. It's kind of funny . We've talked

10:11

to several folks large organizations

10:14

, small ones and we

10:16

used to have , you

10:18

know , this research how

10:21

do we call it ? We have an offering right

10:23

on Copilot to

10:32

go about it one way . After we learned a little bit on how it worked , we

10:34

tweaked it a little bit to bring a lot of impact . What I'm trying to say here is

10:36

that AI is such an evolution that every thing

10:39

that we do , how we think about it , also has

10:41

to change how we validated

10:43

the change , management and everything . So we're going to talk

10:45

a lot about that . It's 90 minutes

10:47

. That's a lot of time , man

10:49

.

10:50

It is a lot of time , but you

10:52

know , what I'm finding is that we

10:55

had that session at Field Service

10:57

USA which talked a little bit about

10:59

the maturity model , but

11:02

really it was an interactive workshop

11:04

. And I felt that we

11:08

had an hour and it wasn't enough

11:10

, or

11:17

45 minutes and it just , yeah , I mean so I I can only imagine that

11:19

a topic such as this one in

11:22

theory , I mean an hour and a half is going to go by like

11:25

that yeah , yeah , yeah

11:27

and so yeah , it's going to be fascinating

11:29

and it builds upon each other

11:31

.

11:32

It's an exciting time to be alive

11:34

, to see this and look forward

11:37

to just sharing all our knowledge with everybody

11:39

.

11:40

Well , that's what I really enjoy about Community

11:42

Summit and presenting is being

11:45

able to interact with individuals

11:48

that come to the session . In

11:51

some cases I was talking about it with Kevin last

11:53

week is during the COVID times . There'd

11:55

be some folks like you'd have some

11:57

of these sessions where it's remote and

12:00

there's three or four people on because who

12:03

wants to attend a conference

12:05

call , so to speak . But

12:08

there's been some sessions where there's really good

12:10

sessions stacked up against me and I go , oh man

12:12

, I'm not going to have a full room , which is okay

12:14

. There's some sessions where I had like 10 or

12:17

12 people and I made it super

12:19

interactive , right . So I was able

12:21

to just pivot and say , okay , let's make

12:23

it where I'm asking them questions

12:25

and they're providing some insight , and then we can dive

12:27

into different areas

12:29

. But I think , with this session

12:32

here and the AI maturity model standing

12:36

room only , there's no doubt in my mind .

12:39

I hope so . It's just so fascinating

12:41

, and so one of

12:43

the things funny enough that we also learned about Field

12:45

Service USA that I think we're going to apply here

12:48

is that making it practical

12:50

, not

12:53

just applying the sky . Here's what AI does . Everybody kind

12:55

of knows and has a general idea , and

12:57

that message is repeated

12:59

everywhere . It's being like boom

13:01

. Here's an example . Here's how we used it , here's

13:03

what happened . Here's how a company

13:05

is utilizing it right . So we

13:08

also will bring funny enough some other experience

13:10

that we learned at Vixo , at

13:13

Xbox , at some of our other customers as well

13:15

, to give some very pointed

13:17

feedback and insights .

13:20

Yeah , and I think that's important too , because , as I

13:22

was looking at the agenda and just

13:24

the different tracks and then looking at all

13:26

the AI and co-pilot , I mean there's AI

13:28

and co-pilot sessions at the Wazoo and then there's sessions that

13:31

aren't even probably classified as AI and co-pilot . I mean there's AI and co-pilot sessions at the Wazoo and then there's

13:33

sessions that aren't even probably classified

13:35

as AI and co-pilot but have an

13:37

AI flavor in

13:39

there , if you will , or as you would call it , salsa

13:42

.

13:45

Yeah .

13:46

And so I mean , you

13:49

might as well just call it the AI conference .

13:52

Hey , there's one in March . Did you know that

13:54

? I did not ? Yeah , so

13:56

there's going to be one in March in

13:58

San Diego for the AI

14:00

conference . Only , funny

14:02

enough , we already have a spot there . We're

14:05

going to continue our roadshow

14:09

. I guess you could say we will be there

14:11

presenting full on and it's all

14:13

AI . It's in San Diego . I guess it's a beautiful

14:15

place . I don't even know the details

14:18

, but I know it's in March , I know

14:20

it's in San Diego and I know it's going to be incredible

14:22

.

14:23

I've only flown into San Diego and then driven

14:25

up the coast to go to a client site , so

14:27

but the airport was nice .

14:30

Yeah , yeah , yeah , it's funny

14:32

, you know , same same , but everybody's

14:35

excited and I think in that time of the

14:37

year it should be incredible . But

14:39

yeah , you know , I'm

14:42

very looking forward to seeing also some of the familiar faces , all

14:44

those folks that we talked about for

14:46

so long , that we met , that

14:48

have grown either the partner

14:50

community users and

14:52

so on . I'm super excited

14:55

for Summit .

14:56

Yeah , no , absolutely . And we can't

14:58

forget about your third session

15:00

, which is a pivot

15:03

from AI , but

15:05

there obviously will be some probably AI in there

15:07

. But we're going back towards

15:09

now our roots , which is physical

15:12

operations and field service

15:14

, and talking about the

15:16

strategic approach to avoid implementation

15:19

pitfalls . So

15:22

it's not pitfalls of field service , right , because we know that technology works . It doesn't matter

15:24

if you're using Dynamics or Salesforce

15:26

or some other tool . The

15:29

tool itself does what

15:31

it's supposed to do . It's just

15:33

a matter of how you implement it yeah

15:35

, yeah , yeah .

15:36

Well , you know it's interesting . Every

15:39

every implementation we learn a little bit

15:41

, something more right . And I've been doing

15:43

this close to I mean , I don't know 15

15:46

years , 20 years on , on

15:48

just service operations and and

15:50

we learned a lot . We learned what

15:52

works , what could get us . Right

15:54

now , funny enough , we're post-COVID , back

15:57

to on-sites again quite

15:59

a bit and we're

16:01

learning a lot . So it's just really understanding

16:04

. You know , how do you plan for it ? How do

16:06

you consider service as a process

16:09

, not a tool ? Also , how

16:11

do you identify things that are popping

16:13

up here and there , that

16:15

are early warning signs

16:17

that you have some challenges in your

16:19

implementation ? And you know , ludia

16:22

, one of those things is that we learn from our mistakes

16:25

Not everything's rainbows and unicorns

16:27

right and being able to share

16:29

those with the community . I think that's probably

16:31

the best thing .

16:33

Yeah , yeah , and I think and

16:35

your session's also going to touch on one

16:37

that is near and dear to

16:39

my heart which is that training

16:42

and change management piece , because so many

16:44

times , organizations

16:47

as a whole and that

16:49

doesn't have to be the implementation partner but

16:51

there's this less emphasis or

16:53

a late emphasis on

16:55

, oh , we have to train them , oh

16:57

, we should get out messages , oh , we should tell

17:00

them this is coming , and

17:02

then it just becomes too

17:04

little , too late , right

17:07

. And so you know , I know we've

17:10

spoken many times with customers about

17:12

organizational change management

17:14

, starting day one , pre

17:16

day one , right , and starting

17:18

understanding how you're going to train , who's

17:21

going to do the training ? Are you going to break

17:24

it up into groups ? Where are your users

17:26

throughout the or other

17:28

countries ? And so what's going to be

17:30

the training plan ? And

17:33

implementation partners such as

17:35

ourselves and Ludia Consulting can

17:38

help with that , but we

17:40

need customers to help

17:42

drive that bus .

17:44

Yeah , yeah , absolutely , and so I don't

17:46

know I'm going to get some authorization

17:50

here whether I can do it or not is

17:52

that there's a new version of field service

17:54

out there as well , and

17:57

I'm going to add that into . That

17:59

is what I call field service

18:01

light or modern workplace version

18:03

of field service . I'm going to add that into

18:06

the learnings as well here Basically

18:09

how to avoid , when to decide

18:11

on which , and how to have successful

18:14

implementations , because service is hard , it

18:16

really is , and it deals with folks

18:18

that like to be hands-on , away from technology

18:21

sometimes . So how to involve

18:23

them to your point man Change management

18:25

, organizational readiness , it's

18:29

everything .

18:30

Yeah , I think that's wonderful . I mean , especially

18:32

if you can talk about the

18:35

field service flight modern work version

18:37

versus the full-blown version , when

18:40

you might look at one versus the other , very

18:42

similar to one of the sessions

18:44

that I'm having , I think , where I conflict

18:47

with your session . On Monday , I have a session

18:49

on project operations and

18:52

extending project operations , but

18:54

one of the things that I'm talking about is when

18:56

do you use projects and when do you

18:58

use field service , or

19:01

where's that gray area ? Because

19:05

there is a gray area . It's not black or white sometimes

19:08

and so , understanding

19:10

that and it could be and no

19:13

spoiler alerts here it could be the

19:15

same way for the

19:17

different flavors of field service

19:19

.

19:20

Yeah , it's kind of interesting . I remember when we used to

19:22

create long work orders for installs

19:25

right and that's just all

19:27

it was right , or PSA was

19:29

out there in the early stages and

19:31

so on . But , yeah

19:33

, there's a new world that's also emerging

19:35

. I think Microsoft's also catching on as

19:37

to what the modern field service experience

19:40

needs to be , and so

19:42

it's going to be . Yeah , the future for service

19:44

is going to be fascinating . So , yes , we're going to talk

19:46

about not only field service light

19:49

field service pro , I guess you can call

19:51

it and the pitfalls

19:53

and went to the side amongst this . It's going to be good

19:55

. It's going to be good . I think we had this

19:57

session about three years ago

19:59

when we were learning , you know , some of the

20:01

areas on on field service

20:05

functionality with the engineering team . Now

20:07

, I mean several years later

20:09

, we should have a lot more insights

20:11

.

20:12

Yeah , well

20:18

, and the other thing too is right . I mean , everyone's term's been out now for

20:20

at least four or five years , but the silver tsunami it's still here it's

20:22

still going and we

20:24

all know . I mean , I've seen

20:26

it now with

20:28

the younger generation , the frontline

20:30

workers , coming in . They don't want to

20:32

be in right . If you're going

20:35

to give them a tool , give them a tool that is

20:37

quick and they don't have to jump around from place

20:39

to place to place to enter in information , or

20:41

they can talk to it , or whatever

20:43

it may be that's going to make it easier , because

20:45

they just don't want outdated

20:49

technology .

20:50

Yeah , yeah , yeah . Well , you know what's happening . So

20:53

we did a presentation a

20:55

while back . Exactly

20:57

to that is that the pandemic changed the way

20:59

we view the world , right

21:01

, the way that we interacted , right . So

21:04

you can get a pizza , you can get a date , you

21:06

can get a car . You can buy a

21:08

car without ever leaving your

21:10

house . You can get

21:12

your .

21:13

Or my daughter .

21:15

What's that ?

21:15

I bought a car for my daughter without leaving the house . They

21:18

delivered it right to the house . You liked

21:20

it Good go .

21:21

That's amazing . So the way that we interact

21:24

with technology and what it does for us and what we

21:26

can do for it change . Interacting

21:28

with technology and what it does for us and what we can do for

21:30

it change , right

21:33

. So before we were much more tolerant of a UI that was clunky but , yeah , whatever

21:35

did the trick . Now we became so silly

21:37

or so reliant on the

21:40

way that it worked and these apps

21:42

did all these crazy things . So now field

21:44

service is the same and as we get

21:46

those folks who are graduating

21:48

from universities and going into trades

21:50

or apprenticeships , they want

21:52

the same . So now

21:55

this whole paradigm

21:57

of those folks entering the workspace

22:00

or workplace is changing

22:02

, plus silver tsunami , right ? So all

22:04

the folks that remain , you've

22:07

got to capture that knowledge , make it usable . That's

22:09

why the AI tools are so important .

22:12

And so having the tool right

22:14

, the right tools , the right technology

22:17

, capturing the

22:19

right data that you need from

22:21

your frontline workers or your back

22:23

office folks , right , is only

22:26

going to help with that AI

22:28

maturity model that we spoke about , which

22:30

will be one of the sessions right

22:32

, because they are pieces to

22:34

the puzzle . There's

22:37

no one big piece of AI . It's a piece

22:39

here , piece there , piece there , and putting it

22:41

all together in one

22:43

cohesive

22:46

unit . So it's like , okay , now

22:48

AI works the way our

22:50

organization needs it to work .

22:53

So it's interesting because AI

22:56

and service go hand in hand

22:58

. So everything we do is all

23:00

physical operations , which is cool , right ? Because

23:02

it's all about getting people to do a certain

23:05

task or certain job efficiently . So

23:07

, yeah , they're all related in reality , right

23:10

? So come and see a service nerd , right

23:12

? Or service nerds at

23:15

Summit . I think it's going to be incredible , yep

23:17

.

23:18

And so your third

23:20

session and final session

23:22

is Wednesday , October 16th , from 9.15

23:25

to 10.15 , Central

23:28

and location 214D

23:30

. And so that is the D365

23:34

, a strategic approach to avoid implementation

23:37

pitfalls . So you'll

23:39

see there's lots of great sessions by

23:42

Lucas and by Ludia and

23:45

, of course , the rest of the community throughout

23:47

the week and me yeah

23:49

, we'll throw me in there and when we're

23:51

not in sessions we'll be at booth 1217

23:54

, you know , really waiting to

23:56

and looking forward to speaking to users

23:59

and other partners

24:01

and sharing success stories and really helping

24:03

out the community , because that's what Summit

24:05

is all about , right Sharing that

24:07

knowledge , networking

24:15

and really helping to be part of something that's bigger . I mean , this thing's grown

24:17

tremendously since .

24:17

I think the first time I've been to Summit . Yeah , yeah , absolutely so , Scott

24:20

, it's great . I'm glad that you mentioned the community

24:23

piece , so I wanted to kind of introduce

24:25

something here , so something fun

24:27

that has been happening at Ludia

24:30

. We're all about altruism , right

24:32

, and helping our communities , because

24:34

it has a background in , honestly

24:37

, the future of our country , the future of who

24:39

we are , our states , our cities and

24:41

so on . So at Summit

24:43

what we have done is we

24:45

partnered up with Microsoft , BPGI

24:47

BPGI

25:09

stands for Black Partner Growth Initiative and with them we identified 15 partner organizations

25:11

or emerging partners , that to dedicate half of our booth to them so they have a place to call home

25:13

, to call a baseline , to basically get the introductions that we know from our team

25:16

and also enrich

25:18

the community and bring a little bit of diversity

25:20

to the summit overall . So

25:24

we have 15 incredible companies

25:26

. Everybody should be getting an email

25:28

from DCI announcing who

25:31

these companies are , what they

25:33

do and where to see them on 12-17

25:35

. But in reality , every

25:37

year last year we did Tech Fluent , right

25:39

, we dedicate half of our booth . This

25:42

year we're doing BPGI , BCPA

25:44

, so we're going to be there really

25:47

promoting our communities and the growth . Interestingly

25:49

enough , right ? So you jump from

25:51

service operations to this complex

25:53

things like AI , to really things

25:55

that also matter , such as community

25:58

and donating that space

26:00

. So please , for

26:02

those who are listening , please don't

26:04

forget to stop by , because it's

26:06

going to be a popping , as

26:08

they call it popping booth .

26:10

That's right and I'll be

26:12

ready in case maybe you'll get interviewed

26:14

and we'll put it on the podcast

26:16

live .

26:18

Yeah , it's interesting

26:20

, we're going to be at the keynote introducing

26:23

the group , we're going to be highlighting

26:25

them and it's all about empowering

26:27

the communities because , right , that's

26:30

how you make a great community around

26:32

each other , empowering others and sharing

26:34

the wealth .

26:36

Exactly , and I was going to say that there's plenty of

26:38

work to go around for everybody and

26:40

and there are specialists here and there's specialists

26:43

there , and you know I mean . So

26:45

I think it's great that you know what

26:47

we're doing and what we're part of in

26:49

terms of not only the

26:52

community summit and altruism

26:54

, but what we do throughout the year within

26:57

Ludia as a whole from an altruistic

26:59

perspective and donating time

27:02

and , you know , really ensuring

27:05

that our folks are going out there

27:07

and giving back to their

27:09

communities .

27:10

Yeah , that's all we have , guys , at the end of

27:12

the day , right , if you

27:14

go home to an empty community , it doesn't

27:16

make any sense . Right ? You're

27:19

living in a desert , I guess , and you

27:21

never plan on interacting with anyone . But

27:25

that's our goal is to enrich our communities

27:27

and live really through the growth

27:29

of who they are and what they accomplish

27:31

. So , yeah , come and see us , it's going to be exciting

27:34

. I think we have , in total , 20

27:37

people , so that

27:39

would make 25 people in one

27:41

booth .

27:42

Wow , come on by yeah

27:45

.

27:46

It's party time Literally

27:48

, and so we're going to have a good time . And yeah , yeah , it's party time literally

27:50

, and so we're going to have a good time . And yeah , yeah

27:52

, yeah , I'm super excited for it .

27:54

That's , that's great . So . So Would

27:58

you say that's the really

28:00

what you're looking forward to the most in terms

28:02

of Community Summit ? I mean , I know going

28:04

out there and speaking and sharing the knowledge

28:06

, but would you say , being a part

28:08

of this and sharing our booth

28:11

, is that

28:13

one of the biggest highlights for

28:16

you for Summit , or is there others

28:18

?

28:18

It's everything . It's seeing you

28:21

in person , seeing our team

28:23

, seeing our fellow partner community

28:25

, seeing the customers again . It's

28:28

like a giant welcoming party . It's like when you're

28:31

what is it ? Cheers right , norman walks

28:33

in right and everybody knows

28:35

your name . Yeah

28:38

, in in that sort of thing

28:40

, plus being able to to be human

28:42

and give back , so it's business . It's like

28:44

a like a mullet right , like

28:47

business in the front , party in the back , type of

28:49

thing . So our booth is kind of like that

28:51

. So just everything

28:53

, just mixing it all .

28:54

Honestly yeah , it's one of

28:56

those areas where I could say , when I go to the summit

28:58

like

29:01

for some that are presenting , it's stressful

29:03

for me . Just it feels like

29:05

a extension of home . Yeah

29:08

, because because you know so many people

29:10

you're , you know the topics you're really looking

29:12

forward to , you know seeing

29:14

your colleagues or former colleagues

29:17

and partners and contributing , um

29:19

, it there's just so much excitement . Um

29:22

, it's like it's like no other conference

29:24

, uh , to be honest , that I've ever been

29:27

to . It's

29:29

just great . People come up and ask questions left and

29:31

right . I love it .

29:32

Yeah , yeah , yeah . That's how you can tell

29:34

you're an introvert or an extrovert , right yeah

29:37

.

29:38

I definitely have never been accused

29:40

of being an introvert , that's for sure .

29:42

Yeah . I can vouch for that

29:44

. And so , yeah

29:46

, it's the ability to really interact

29:49

. And you know , this year we have Ignite

29:51

in November , we have Power Platform

29:54

, we have

29:56

Dynamic Community Summit , then Field Service

29:58

USA in the spring , which will be there

30:00

again . We're going to be in other industry

30:03

conferences and we're

30:05

going to be at the Microsoft SMC

30:07

conference , interestingly

30:09

at the same time as Summit , so we're going to

30:11

clone ourselves and be in two places

30:14

at once . But no

30:16

, it's just really excited to connecting

30:18

with everybody . I think , Summit

30:20

is kind of like the party that kicks it all

30:23

.

30:23

Yeah , it's the kickoff party , that's it . We're

30:27

pre-gaming , it's perfect

30:30

. It's perfect . Well , you know , I

30:32

know . So just to wrap up here

30:34

, you know . So Lucas again has his

30:36

three sessions . So on Sunday , october

30:39

13th , there's the AI

30:41

co-pilot pre-conference

30:43

, and so that's starting at 8.30

30:45

. But if you're looking specifically to hear

30:48

about how

30:51

AI and co-pilots at VIXO

30:53

and the impact and the journey , you'll come

30:55

to the session at 2 o'clock , from

30:58

2 to 2.45 , and hear Lucas

31:00

, along with Bobby Honeycutt and Jim

31:03

McCarthy from VIXO , really

31:05

talk about and share their journey in

31:07

AI . And then we

31:10

also then have Lucas's session on

31:12

Monday , the 14th , from 2.30 to 4

31:14

, and location 209 , and that's

31:16

navigating the AI landscape , the Microsoft

31:19

Dynamics Copilot and journey to AI

31:21

maturity . Then , wednesday

31:24

, october 16th , from 9.15 to 10.15

31:26

, we have Mastering Dynamics 365

31:29

Field Service , a strategic approach to avoid

31:31

implementation pitfalls , and that is

31:33

in location 214D . Lots

31:37

to remember . Oh , and don't forget Lutia

31:39

Consulting's booth at 1217 . Can't

31:41

miss it . It'll have

31:43

green on it like this , it's perfect

31:46

. I'll be sure to bring

31:48

my green swag .

31:49

It's going to be like . I think it's like 20 feet

31:51

tall or something crazy like that . So

31:54

you're going to see us everywhere .

31:55

I think it's like 20 feet

31:57

tall or something crazy like that . So you're going to see

31:59

us everywhere , excellent . Well , I look forward to it . Lucas

32:01

, it's been a pleasure having you on talking about AI and field

32:03

service and , of course , our altruism here at Ludia

32:06

. Really looking forward to seeing

32:08

you again in person and

32:12

maybe doing a little heckle in some

32:14

of the sessions . No , just kidding , I'll

32:16

bring it , I'll bring my . I'll bring my

32:19

my Lucas Diaz banner and

32:21

it'll it'll be good . No , it , it , it'll

32:23

be fine . I look forward to to seeing you again

32:26

and and uh , we'll be in your sessions and

32:28

giving you some softballs

32:30

.

32:31

Fantastic Scott , always more than welcome

32:33

to one of the experts . You're like a 17

32:36

million time Microsoft Field Service MVP

32:38

man , so I bow to you and your

32:40

knowledge as well , totally

32:44

looking forward to it . Thank you for

32:46

having me as well . It's a pleasure

32:48

to be able to just talk about everything

32:50

here , yeah

32:53

, no , absolutely .

32:54

It's a pleasure , and we thank

32:56

you for coming on and we thank our listeners

32:58

, uh , for tuning in

33:00

and hearing about everything that we have to say

33:02

. So thank you everyone for your time . Enjoy

33:05

the remainder of your day or evening where

33:07

whenever you decide to listen to it , and , you

33:09

know , please stay tuned for our next episode .

33:12

Thanks everyone thank

33:14

you everyone , cheers . Thank you sc for having

33:16

me .

33:17

My pleasure . Thank

33:21

you for listening to the Innovate with Ludia

33:23

podcast . We hope you enjoyed this episode

33:25

. Be sure to subscribe to our podcast

33:27

on your favorite podcast app or follow

33:29

us on LinkedIn . Until next time

33:31

, I'm your host , scott LaFontaine . Thank

33:34

you , thank you .