A.I. in Manufacturing & Aerospace

Episode Transcript

Speaker 1 (00:00):
Welcome to Pulse of the Region, brought to you by
the Metro Hertford Alliance. The Metro Hertford Alliance collaborates with
investors and partners to elevate the Hartford region through economic
development work, convening the community around shared challenges, and providing
local chamber support. Learn more about their mission and how
to get involved at Metrohartford dot com. Pulse of the
Region is produced in partnership with oak Hill. O'kill was

(00:22):
originally founded as a school for the blind in eighteen
ninety three. Okhill has provided holistic, person centered services for
individuals with disabilities for over one hundred and thirty years.
With empowerment and independence as its guiding principles. OKILL works
in partnership with the individuals it serves to provide residential, educational,
and enrichment opportunities. Learn more at okillct dot org. Now

(00:45):
here's your host for Pulse of the Region, Kpe Balman.

Speaker 2 (00:49):
Hello, Hello, and welcome to Pulse of the Region, the
show where every week we get to highlight the great
things that are happening here throughout the greater Hartford Region.
I'm your host, Kate Baalman, and thank you for joining
us here today. Today we are getting the pulse about
artificial intelligence within the manufacturing and aerospace and defense industries.

(01:09):
I have to say this is quite the big topic.
We probably could use about three days to cover all this,
but we have two powerhouse guests joining the conversation today.
First with a company who is one of the top
manufacturers of turbine engine airfoils in the world, and yes,
of course they're located here in Connecticut. So first we
welcome their president of New England Airfoil Products and Pietro

(01:33):
Rosa Clive Cunliff Clive. Welcome to Pulse of the Region.

Speaker 3 (01:38):
Thanks great, that was a very good introduction. I'm president
of Pittos in North America, which has doing and therefore
products within its group.

Speaker 2 (01:49):
Fantastic, Thank you for that clarification, and certainly we're going
to talk more about the organization and all the incredible
things doing here not only in Connecticut but really across
the world. But next I would like to introduce our
second guest, and he is on the team at the
Aerospace Industries Association. Really the organization is kind of who's
the voice of the aerospace and defense industry. So today

(02:12):
we welcome the VP of Engineering and Technology, Tim White. Tim,
welcome to the show.

Speaker 4 (02:18):
Thank you so much for having me and looking forward
to the conversation.

Speaker 5 (02:21):
Of course, same with me.

Speaker 2 (02:22):
So and I first have to give both of you
grief though, because today we're recording. Sometimes we record the
show many times here in Hartford, but then also sometimes
we have phone conversations, and so I feel a little
left out today because I hear you're both in Washington,
d C. And I'm here in Hartford, and I felt
like I should have gone the invite.

Speaker 1 (02:39):
Well, we would love.

Speaker 4 (02:40):
To invite it down next time. It's a great time
that we've had here and maybe we'll get some chance
to talk about what we're doing down here.

Speaker 5 (02:46):
Perfect.

Speaker 2 (02:47):
Yes, we'd love that, and I'm going to take you
up on the invitation there, Tim.

Speaker 5 (02:51):
So perfect.

Speaker 2 (02:53):
Well, first things, first introductions, Clive, if you could talk
first about Pietro Rosa and then also NIPS in New
England foil products, and if you talk a little bit
too about not only the company as a whole, but
then also really your footprint here in Connecticut.

Speaker 3 (03:07):
Okay, Well, Pietro Rosa itself was is now one hundred
and thirty seven years old. It started off as a
forging company in Italy in the foothills of the Dlamites
because of the water actually, and it's morphed itself into
many different things over the years, but always retained its

(03:28):
core confidence of forging. So in terms of forging, it's
probably one of the world's foremost forgers. For our type
of product. It started off making player blades and then
it moved on to all sorts of different things until
some point in the nineteen fifties when it started making

(03:49):
steam turbine blades for lamb based gas turbines. Now that's
morphed on becaus we've gone over the years and we're
now very balanced in terms of our portfolio. So we
manufacture products for land, sea and air and they're all
con forward. The combustion chamber is what we make. Our
size range goes anything from probably an inch in height

(04:11):
to over five feet in height for some of the
huge turbines that are used within the power gen market.

Speaker 6 (04:19):
It's been a.

Speaker 3 (04:20):
Very dynamic company. One of the things that we do
is really enact tagline, and our tagline is passion for innovation,
and passion for innovation we see as being hugely important
for us in terms of different differentiating ourselves in the marketplace,

(04:40):
because we constantly look for method improvement both in manufacturing
and the way we conduct business, and that really works
well for us. So then probably around about nine two
thousand and fourteen or fifteen, we recognize that we needed
a North American footprint. We did a lot of due

(05:01):
diligence in North America and we looked north and south,
east and west, and we actually had a meeting with
Catherine Smith, one of the previous commissioners, and Danil molloy
at the Paris Air Show and they convinced us that
Connecticut was a really good place to do business. Since

(05:24):
we bought New England Air Force, we bought were acquired
it from Doncaster's group, it's proved that Connecticut was a
superb choice for us for a number of reasons. One,
it's called Aerospace Alley. It is the epicenter of aviation
within certainly that sector of North America. It's got an

(05:47):
access to talented people. Largely because of Pratt and Whitney.
We've got close ties with the Department of Economic Development
and they've been a huge support for us since we
bought the business. In twenty sixteen, so we can't speak
continent of Connecticut is a state to do business any well.

Speaker 5 (06:05):
We love to hear that.

Speaker 2 (06:07):
We absolutely love to hear that. So Clive, thank you
so much for that introduction. And Tim would love if
you could tell us a bit more about the Aerospace
Industries Association and kind of the work that you do
throughout the country.

Speaker 4 (06:19):
That's a great question. So Aerospace Industry Association is a
trade organization. We have about three hundred and thirty members
and they really span different areas of the aerospace industry.
We have members that are in national security and so
you might think about them serving the Department of Defense.
We have members who specialize in space. We have members
who specialize in civil market, so you might think about

(06:42):
Boeing of the world.

Speaker 5 (06:44):
Okay.

Speaker 4 (06:44):
We as an organization are all about providing a voice,
just as you said, to these companies back to decision makers,
whether that's a regulators or legislators or the executive branch.
We also do a really we try to do a
good job in convening and that's what's brought up together
this week. Clive and I are down here in Washington, DC.

(07:08):
I mean just concluded our Board of Governor's meeting and
had some really good discussions about what's going on in
the industry. So that's who we are.

Speaker 5 (07:15):
Fantastic.

Speaker 2 (07:16):
Well, you know, kind of to dive in on the
big topic of AI. And I think you know, no
matter what media at outlet you turn on or social
media conferences you go to, AI is certainly a topic
and focus for so many organizations, so many industries. So Tim,
I'll kind of put you on the spot here first,
if you don't mind at a high level, I understand
this is a big question to kick things off with,

(07:37):
but really, where do you see AI kind of right now?
And you know, really why you feel it's at the
forefront of so many conversations today.

Speaker 4 (07:45):
Yeah, great question, and I think that in part it
may be worth looking at where was it? Thank you
thinking about AI? It's been in use now within the
aerospace industry for many, many, many years, and you probably
don't think about it, don't hear about it. And yet
nonetheless it is true. So you think about autopilots and

(08:05):
some of the alerting things that go on as you
fly about the airspace that are frankly transparent to the
general public but are really critical to making sure that
the airspace runs. And then the question comes, but why
has it come forward to the forefront of all of
this discussion? And I think that these large language models

(08:26):
have really brought the general public into awareness of the possibilities.
And those large language models like chat, GPT or Gemini
or Lama, there are a lot of them out there.
They have this characteristic it's called being anthropomorphic, and it
means that they're almost human. They seem human. Type something

(08:47):
in and you can watch it type something back. It's
a fascinating thing to watch and it engages us as humans.
It's helping us to see the possibilities of AI. Where
do I think we are going? I think in three
to five years that there will be much more engagement
with everyone's job, nearly everyone's job in AI, and I

(09:10):
think that we're right on this inflection point. So it's
just a really exciting time to be in technology today.
And really I think almost any role out there really
exciting to think about. How could I do my job better?
How could I make it less drudgery, how can I
make it more exciting? How can I make it more creative?
That's really where we are today to look into the

(09:32):
future in the very near future on where we headed.

Speaker 5 (09:35):
Definitely no appreciate all that perspective.

Speaker 2 (09:37):
And I learned a new word there too, So this
is thank you for an education day for me too.
And you know, you certainly hit the nail on the
head where kind of across the industry as you're seeing
all different roles, and Clive would love for you to
chime in really kind of how you're personally seeing integrated
at NEIP and you know, kind of what have you
seen lately?

Speaker 3 (09:55):
Well, I think I.

Speaker 6 (09:55):
Think we're all in agreement that the world is just
moving at a pace that none of us are recognized before,
and a lot of that is driven by AI, whether
that being manufacturing or in commerce, AI is.

Speaker 3 (10:07):
A huge element. So just to quote Getter Rosa's tagline again,
passion for innovation. We recognize some years ago that we
had to find smarter, faster ways of doing things. So
if you look at manufacturing in itself, everybody chases the
cut of time. So you're trying to make products more
rapidly on machines as accurately as they've ever been, or

(10:30):
even more accurately. But there's a whole lot of work
that goes on before you ever get to cutting a
piece of metal, and that's all the business elements that
go from a quote right through to getting metal on
a machine to service the end customer. So we bought
a company actually a couple of years ago that deals

(10:52):
with artificial intelligence to help businesses compile information. Is potentially
pause all the information that a business has got into
a big copper and you can ask it a question
and it extracts from the copper the key elements without many,
many many hours, weeks or months of research. So if

(11:14):
you've done a job in career ten years ago and
you wanted to know if you made any money on it,
or who the customer was or the people that were involved,
then it can answer those questions very rapidly. So it
gives you an ability to fast track the decision matrix
that says shall we try and pursue this job or
shall we reject it. Similarly, when it comes to in

(11:37):
house in the workforce, there are methodologies where we're using
the AI system that we have that you can understand
and track the work that somebody's done very accurately. So
we've used it in a number of ways and we've
launched it commercially in Europe. We will be launching it

(12:00):
over here in the not too distrit future.

Speaker 2 (12:02):
Fantastic And you know, you and I Clive have had
the pleasure of talking about this and one thing I
found so fascinating is a lot of the data that's
being input into this hopper is coming from your employees.
Could you talk a little bit more about that, because
I think just makes it so unique compared to a
lot of other products you're seeing in the marketplace.

Speaker 3 (12:20):
Well, the essence of it is that when anything gets
to its finishing point in terms of the job, it's
normally put into some form of format that's solid soul.
It would be it was hepdif far for a contract.
But to go through thousands and thousands and thousands of
pages of many different contracts to try and extract the

(12:43):
key words, the key things that that contract does or
doesn't do, takes a lot of time. This will will
go through every contract, look for comparisons, look for what's
needed and what's not. So it takes a lot of
the manual intervention, which is great. One of the things
that we can probably talk about a little bit later

(13:04):
is what it means in terms of the workforce. I
will come onto this a little bit later on, but
one of the things that we've all recognized is that
the people that are in the workplace are more transient
than they ever used to be used to do jobs
for life. People do a job and then they retire,

(13:24):
and they've done it forever and there was always a
go to guy there. We're seeing less and less of
that in the workplace now, and we certainly are we're
seeing that in North America, seeing it within Europe that
people come and go. So we're trying to use this
to capture people's know how while they've got tenureship within
a particular job, and that's proving extremely beneficial for us.

Speaker 2 (13:45):
Fantastic No thanks for that, and we definitely will touch
more on workforce, But first tim, I want to get
your thoughts just really and kind of some specifics if
you're able to provide, and just really how you're seeing
AI being used within the aerospace and defense industry. I
know you'd highlighted certainly some kind of the history of it,
but really where you seeing today kind of the top
ways of implementing AI.

Speaker 4 (14:06):
Yeah, good question. Let me begin at the kind of
at a higher level and say what are the general
where could you use it within the product life cycle?
And so we think about it in three general buckets.
One is you're using AI on things that are like
the back office, and Clive just really gave some fantastic
examples of the way that you can use it to

(14:27):
help with big generation, to help with looking at history.
The second way that we see it is you're using
it to actually design product and so there are examples,
plenty of examples out there on what are called generative design.
And so you would think about, I've got a seat

(14:48):
that's going to go into an aircraft, and that seat
has to have a bracket that it sits on. And
in the past you would have an engineer who would
just kind of sit down and draw some linear elements
and a way we go be manufactured. What you can
do today is use generative design and it will optimize
whatever little part or large part you need to design,

(15:11):
and so it will come out with a very low weight,
very strong part that can be used and you can
save weight, save money, do all kinds of things with
the generative design. The third way that you see it
being used today is integrated into actual customer product and
so you can think about that in terms of maybe

(15:34):
an aircraft that is out there, maybe it's got a
radar on its front, and it's out looking at different
things in the environment and characterizing them automatically and then
displaying them back to end user a pilot in the cockpit.
So as you think about those three general use cases,
you can really understand it's across the entire product life

(15:58):
cycle that AI can and is being utilized today. It's
really exciting to see the breadth of its application.

Speaker 2 (16:04):
Definitely is and I'm sure making so many impacts across
the industry. And you know, one of those big impacts
is Clive teed up for us is workforce. And you know, Clive,
if you could talk a little bit on just where
you're seeing, you know, how is AI impacting the workforce
and really enhancing performance from many individuals.

Speaker 3 (16:23):
Well, this isn't really a case of performance in amason,
we're trying to protect a gains loss. So, as I mentioned,
workforce is far more transitory than they used to be.
Two years, four years of a job and then people
have gone. So people just become what we've every company
find So so I'm sure people become very useful after they've
done a job for a few years, but when they leave,

(16:46):
it's avoid and you're back to square one. So within
the AI module or one of the many my AI
modules that we have, we can film digitize somebody's work
that they're doing and it would be very accurate, and
it will be give the written word and photographs digital

(17:09):
sketches that say this is what you've got to do.
And I could give you an example whereby a very
experienced setup person, probably years in the job, knows how
to set something up and they can do it in
two hours or an hour. Okay, a new person comes in,
it could take them days in order to get that

(17:29):
finessing to allow it to be set up correctly. But
if they've got an automated storybook how to do it,
the new person comes along and he's already ahead of
that learner curve so old j am through the entire process.
And that's proved to be an enormous benefit to have business.
And I'm sure other businesses that do it.

Speaker 5 (17:50):
They find the same thing definitely.

Speaker 2 (17:52):
And tim what are you seeing to you know, kind
of on the workforce and how really AI is changing
and improving in many areas, the workforce and the opportunity.

Speaker 4 (18:02):
Well, I've really characterized it well. I think that as
you think about AI and what can it do for me,
it really comes down to helping you to be better, faster.
And so when your Clive mentioned knowledge management, really so
much of the value of a business is caught up
in the know how of the people inside the building

(18:26):
and the intellectual property that it has. But you have
to unlock that, you have to codify it, and so
being able to capture the knowledge and then deliver it
at the point of need is really where I see
one of the powerful use cases.

Speaker 3 (18:42):
I think that a lot of us.

Speaker 4 (18:43):
Have been through training and we all know that you
can go through a training and a week later someone
will say, hey, if you remember what that was about
you you have to search a little bit in memory
that you don't use it almost immediately. It's gone almost immediately.
But if you've got the ability to come back to
it when you need it, to have your system prompt

(19:06):
to you and say, hey, I see that you're doing
a new bid. Remember that we talked about. One of
the things that we need to do as part of
this bid is include these requirements. He say Oh, that's right.
Oh and by the way, here they are. It's provided
to you when you need it. That to me, solves
so many problems that we have with workforce in trying

(19:29):
to attract and retaine and really bring people up to speed.
I think that secondarily, it also helps people to be
more satisfied with their job because it means that you're
less frustrated with your job. And I think that that's
a huge, huge advantage that it can offer to people
as they try to search for meaning in what they're doing.

(19:52):
It helps you, it allows you to be more effective
and less frustrated.

Speaker 2 (19:56):
I really appreciate that perspective. Tim, Thank you so much
much for that. And kind of looking at that is,
you know, if each of you have kind of the
crystal ball in front of you, where do you really
see AI kind of going next within the industry. I'll
kind of put that out to each of you. I
know which one of you want to take that question first?

Speaker 3 (20:14):
Well, I'd like to just add to something that Tim
just said, actually please do and it kind of links
into the question you just asked. But NIGE capture has
been a big thing for a long time, twenty odd
years because what's happened within industry is the long term
people that have been within industry in very large companies

(20:35):
and small companies, they're either retiring or going off to
do something else, and companies have bought long and hard
to capture the knowledge of those people, and it's increasingly
difficult to do so. With the advantage of AI being
able to capture the work they've done, examples of work
and then convert that into methodologies for the new generation

(20:58):
of the workforce, tremendous asset. So you say, where's AI going.
I think it's going to become an integral part of
a business value. The reason being if you look at
a business itself, it's built up of a few things.
It's built up of the building, the land, the contracts,

(21:23):
all those things. But the knowledge is something you can
really struggle to pinpoint and what's that worth? And it's
actually the knowledge that resides within a business that it
creates the value because it pulls all those things together
that AI can help service that requirement for a new
buyer of a business or the existing business, so you

(21:44):
can see what you've got that's great.

Speaker 2 (21:46):
No, certainly increasing that value of the actual business within
the industry. So thank you Clive so much for bringing
up those points and tim anything else you want to
add there as kind of that future forward look, and
you know, where do you see things going?

Speaker 4 (22:00):
Well, I think if you want to know where things
are going, you look at where Clive is today. The
ability to capture knowledge, the ability to make yourself more efficient,
that's where the world is going, and that's really where there.
I think a lot of organizations are very much going
to be in catch up modes where Clive and his
team are. I think as well, you're going to see

(22:22):
AI be a lot more ubiquitous. There are going to
be suggestion engines as you go throughout your work on
a day to day basis, there are going to be
tools that will go out and look for work called anomalies.
And so you might think about I'm issuing fifteen hundred
purchase orders every year, and the AI can go through

(22:43):
and say these three are different? Should they be different?
And it will alert the humans to say we should
go take a look at that. So very much you
would see aids that are coming through that are AI
as well as what are called agents. So an aid
is going to help you do your job and an
agent will actually do things for you. We're very much

(23:03):
at the forefront of agentic AI, but I think it's
coming and coming quickly. I think three to five years
it's really going to be a very different landscape in
the way that we do our jobs.

Speaker 2 (23:14):
Certainly, yes, I think we're already seeing it today and
I can't even imagine what the three to five year
look is. So appreciate all the perspectives there and the
information and kind of want to transition a little bit
for the last part of our conversation is you know,
so much in the AI space, but also so much too,
you know, kind of is benefiting the industry and organizations
are still kind of going back to our core, you know,

(23:36):
tried and true partnerships, and you know, I think that's
something where will be different than AI certainly something still
very valuable within the industry. And Clive, I want to
talk and highlight a partnership that NEP has here in
Connecticut with the Connecticut Center for Advanced Technology also known
as SEACAT here locally, and if you could first just
talk a little bit about the relationship between NEP and SEACAT.

Speaker 3 (23:58):
Well, they've been a fantastic arn'er for us from day
one actually, and when we were doing our due diligence
back in twenty fifteen, we visited SEACAT and what we
heard from SEACAT was exactly what we needed because we
were the new boys on the.

Speaker 6 (24:13):
Block in North America. The name that we needed a
North American.

Speaker 3 (24:16):
Footprint, but we've had associations with technology centers and universities
in Europe, but obviously not in North America. So SEACAP
were the answer to a prayer for us, because we
needed somebody that understood the local methodologies or the North
American methodologies and could help us develop new ways of
doing things. So that partnership that we had was an

(24:40):
informal partnership that started in twenty sixteen and then literally
at the Paris Air Show, which was what two and
a half years ago now probably we signed a formal
agreement for a partnership agreement with SEACAT and we've used
them an all all that we work together really well.

(25:02):
We looked at we look at innovative things of how
to do things better. They steered us in directions that
we've got no knowledge of that we're now very familiar
with and just referring back to one of my earlier points.
When it comes to business improvement or manufacturing improvement, everybody
thinks about cutting metal, and that's true, and they've helped

(25:24):
us cut metal faster with other companies. They've introduced us
to people like third wave technologies have been hugely beneficial
for us, and that optimizes the cutting process. But then
you look at the whole of the manufacturing process and
it starts way before that. So we have this AI
system developed in Italy for our use and we've marketed

(25:48):
it within Europe and this good. But Seacat did the
complete shakedown test for us for use in America. So
they spend the I don't know months actually coming up
with difficult problems. Could it solve these? Couldn't it solve these?
Was the use of friendly interface? Friendly enough?

Speaker 4 (26:09):
If not?

Speaker 3 (26:10):
So they came up with a whole suite of recommendations
that were steadily plowing through and were getting very much
to the end of them. So Seacat we entrusted with
our product. They came back with some great work and
I think to do this launch in North America we
couldn't do without them.

Speaker 5 (26:26):
That's great now, thank you so much. For that.

Speaker 2 (26:28):
It seems like such benefit there for Neep and really
too kind of for a lot work within the industry.
And Tim would love to hear from you too. Is
if this is kind of a partnership, You're seeing other
types of partnerships like this around the country, you know,
or is this something that's really unique to here in Connecticut.

Speaker 4 (26:45):
Well, I think that what we're seeing in Connecticut is
certainly a model for what is happening throughout and what
should be happening throughout the country. You do see a
couple of areas that the regions, if you will, that
are doing a job of bringing people together, creating connections.
There's some really interesting stuff happening in Long Island, there's

(27:08):
some stuff down in Alabama. There's some really interesting stuff
in the aerospace side out in Utah. But what I
would argue is that it is the best practice to
bring together the like minded manufacturers and like minded service
people that can share best practices, and it's such an

(27:32):
amplifying capability, and any region can and should put some
money towards I think it's some money very well spent.

Speaker 2 (27:39):
Definitely sounds like so well, thank you all so much.
I hate I feel like I'm cutting the short. I
really wasn't joking when I said I think we could
talk about all this for about three days, but we're
at the end of our time. But thank you both
for being here and real quick, if you could each
just give more places where people can get more information
about each of your organizations. So Clive first, if you
could share where people can get more information.

Speaker 3 (27:59):
About need Well, they can go to meethink dot com
that's our website, or Pietrosa TBM dot com dot I sorry,
that'll give you an overview of the business collectively. So
keeterosa website that's a good one, or me think dot
com is.

Speaker 6 (28:19):
Another good one.

Speaker 5 (28:20):
Okay.

Speaker 3 (28:20):
The other thing we could do, and I'm sure you
know him very well, Harry Santiago, we've made in America.
I've done a couple of podcasts on him about me
in particular. So the last one that I did talks
all about the what we do, why we do it
while we're in Connecticut, a lot of the things in
a little bit more depth that we've talked about today.
So that's a very good source of information.

Speaker 5 (28:40):
Okay, wonderful, Thank you so much, Clive and Tim.

Speaker 2 (28:42):
Where can listeners go to learn more about the Aerospace
Industries Association.

Speaker 4 (28:47):
Well, you can certainly go to the web and search
at aiash aerospace dot org and find out what we're doing.
You can see our member companies on there. The other
thing that I would recommend that people do if you
are interested in AI in aerospace under the report section,
there is a brand new report that our members have

(29:08):
released on how do you do AI an AI governance
in an aerospace environment. It's called our AI Flight Plan.
Just rarely released it today and would love to have
people take a look at it provide feedback on it.
We intended to be a living document and useful to
the general general population. So go take a look.

Speaker 5 (29:28):
Nice. I like it hot off the press. You heard
it here first right.

Speaker 3 (29:32):
On a little note from me. We just talked about
associations and partnerships. We joined the AIA. That was one
of our first steps where we had our first presence
in North America. Okay, the AIA has been a fountain
of knowledge and no course, for the airspace industry. It's
been a fantastic launch platform for US. I com thank me,

(29:53):
not as an organization.

Speaker 4 (29:55):
Well, thanks Clive, You've been a fantastic partner and engagement
has really been a model for what we like to
be able to help our members do and be.

Speaker 3 (30:05):
Thank you too well.

Speaker 2 (30:07):
Thank you both so much, and Clive certainly appreciate your
partnership with the Metro Heart Heart for the alliance. We've
been a huge supporter of us for many years, so
thank you so much for that.

Speaker 5 (30:16):
Really appreciate it.

Speaker 3 (30:18):
Thank you, Thanks Gay.

Speaker 2 (30:19):
Of course, and so thank you Bill for being on
the show today. And before we close out our show today,
we would like to welcome a new investor to the MHA.
We refer to our members as investors because they're investing
in the work that we're doing to help promote and
grow the region. So today we welcome Shangri Lad Dispensaries.
Shangra Lad Dispensaries have crafted a premium cannabis shopping experience

(30:41):
where their primary focus is patience and consumers. They're located
in Plainville and soon to be Waterbury, so we say
welcome to them as new members of the MHA. For
all the details about today's show, you can visit pulseoftheregion
dot com. A big thank you to our show partner
Okill and of course thanks to you for listening.

Speaker 5 (30:58):
I'm Kate Bauman.

Speaker 2 (30:59):
Go out and make today a good day here in Connecticut.