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Description
Docket #0846 - Message and order authorizing the City of Boston to accept and expend the amount of One Hundred Twenty Thousand Dollars ($120,000.00) in the form of a grant for the Community Compact IT Grant, awarded by the MA Executive Office of Administration and Finance to be administered by the Department of Innovation & Technology. The grant will fund enhanced technology and configuration management that leverages artificial intelligence and machine learning
A
Chair
of
the
boston
city
council
committee,
on
city
and
neighborhood
services,
in
accordance
with
chapter
20,
of
the
acts
of
2021
modifying
certain
requirements
of
the
open
meeting
law
in
relieving
public
bodies
of
certain
requirements,
including
the
requirement
that
public
parties
conduct
its
meeting
in
a
public
place
that
is
open
and
physically
accessible
to
the
public.
The
city
council
will
be
conducting
this
hearing.
Virtually
this
enables
the
city
council
to
carry
out
its
responsibilities
while
adhering
to
the
public
health
recommendations
in
ensuring
public
access
to
its
deliberations
through
adequate
alternative
means.
A
A
Anyone
that
would
like
to
testify
in
this
matter.
Please
email,
juan
don
lopez
at
boston.gov
for
the
zoom
link.
Today's
hearing
is
all
is
docker
zero,
eight
four
six,
dr
zero.
Eight
four
six:
the
messaging
authorized
in
the
city
of
boston
to
accept
and
expand
the
amount
of
120
000
120
000
in
the
form
of
a
grant
for
the
community
compact
I.t
grant
awarded
by
the
mast,
executive
office,
administration
and
finance
to
be
administrated
by
the
administered
by
the
department
of
innovation
and
technology.
A
I'm
going
to
withhold
my
opening
statement
and
I
want
to
go
right
to
the
testimony
from
david
and
michael
david
or
michael,
not
sure
who
wants
to
start
first.
But
I
want
to
give
both
of
you
the
opportunity
to
provide
an
opening
statement.
Tell
us
about
the
120
000
grant
and
tell
us
what
the
reason
how
the
money
will
be
spent
as
well.
B
Absolutely
good
morning,
chairman
flynn,
and
to
any
of
the
city
council
members
joining
us
this
morning.
Thank
you
for
the
time
this
morning
to
go
over
docket
zero.
Eight
four!
Six.
With
the
approval
of
the
fund
of
this
funding,
the
department
of
innovation
technology.
Do
it
can
continue
our
critical
core
mission
of
delivering
reliable,
resilient
and
redundant
systems
and
applications
to
our
end
users
and
residents.
B
The
target
of
this
funding
is
to
continue
to
develop
deeper
level
of
monitoring
around
our
core
applications
and
core
critical
services
that
we
deliver
to
our
end
users
and
bostonians
every
day
with
that,
I'd
really
like
to
yield
the
floor
over
to
michael
hamill,
my
chief
of
enterprise
applications,
who
has
been
running
point
on
the
community
compact
grant
on
my
behalf
for
his
opening
remarks
and
after
michael
hammel
we'd
be
glad
to
take
any
questions
that
you
may
have.
A
Excellent.
Thank
you
david.
Thank
you
david
for
being
here,
and
thank
you
michael
for
being
here,
michael
you're.
Up
next.
C
C
It's
a
program
that
provides
one-time
capital
funding
for
technology
initiatives.
You
know,
service
delivery
is
is
really
at
the
core
of
everything
that
we
do
in
doit
and
throughout
the
pandemic.
That's
really
highlighted
the
importance
of
delivering
consistent
platform
availability,
not
just
for
our
employees,
but
also
for
the
public
and
through
this
project,
we're
really
looking
to
support
yeah
this
this
one
time
opportunity
to
accelerate
the
deployment
of
more
advanced
technology
monitoring
and
management
tools.
C
So
it's
really
about
leveraging
new
technologies
that
are
rapidly
becoming
industry
standard,
to
put
us
into
a
more
proactive
rather
than
reactive
posture.
For
instance,
it's
it's
not
just
you
know.
Historically,
it's
sort
of
knowing
about
how
much
how
much
memory
you're
using
on
a
server
right
and
where
we're
trying
to
go
is
not
just
know
how
much
memories
on
the
server
but
really
understand
the
experience
of
that
person
in
the
public
who's
trying
to
apply
for
a
permit
or
taking
advantage
of
machine
learning
so
that
we
can
sort
of
flag.
C
C
You
know
at
the
end
of
the
day,
it's
really
about
improving
our
ability
to
get
the
right
information
to
the
right
people
at
the
right
time.
These
these
systems
collect
a
lot
of
system,
performance
data
and
one
of
the
biggest
challenges
facing
it.
Organizations
everywhere
is
really
the
ability
to
separate
the
important
insights
from
the
noise,
and
these
tools
really
help
us
to
narrow
down
that
data,
so
that
we're
focusing
our
energy
on
the
places
where
we're
able
to
intervene
and
provide
better
service
rather
than
spending
a
lot
of
time.
C
You
know
sort
of
focused
on
the
noise,
so
this
is
you
know
this
is
an
initiative.
That's
really
well
aligned,
with
with
our
larger
priorities
of
getting
more
consistent,
getting
more
secure,
becoming
sustainable
and
we're
excited
at
the
opportunity
to
potentially
move
forward
with
this
project
and
happy
to
to
take
on
any
questions
that
you
might
have.
A
Thank
you,
michael
michael
you,
michael
and
david.
I
think
you
both
mentioned
it's
a
one-time
grant,
120
000,
I'm
I
just
I
just
want
to,
as
I
present
this
to
my
colleagues,
can
you
explain
to
me
so
if
I
have
any
questions
when
I'm
presenting
this
to
my
colleagues,
artificial
intelligence,
can
you
explain
that
term
as
it
relates
to
the
this
grant.
C
Yes,
so
sort
of
in
in
the
world
of
this
monitoring
initiative.
It's
really
about
you
know,
so
it's
sort
of
the
example
that
I
was
giving
about
the
the
time
of
a
transaction.
So
so
what
the
artificial
intelligence
can
help
us
to
do
is
is
notice
these
these
sort
of
small
changes
that
we
might
not
like,
as
as
humans
with
so
much
information
we
might
not
be
able
to
detect.
C
So
really
it's
looking
at
you
know
if
a
member
of
the
public
is
is
clicking
the
button
to
apply
for
a
permit.
Did
that
take
two
seconds
or
did
it
take
15
seconds
and
being
able
to
to
have
the
machine?
C
Tell
us
that
there's
a
trend
that
that
process
is
starting
to
slow
down
so
that
we
can
proactively
look
at
whether
there's
potentially
an
issue
coming
up
that
we
can
proactively
address
before
it
becomes
an
incident
where
a
member
of
the
public
has
to
call
us
and
tell
us
that
the
system's
not
working
appropriately,
so
that
that's
really
what
it
is,
is
getting
the
the
proactive
insights
so
that
we
can
intervene
before
it
actually
becomes
an
issue.
C
A
And,
and
do
it
in
when
do-it
knows
that
there
might
be
a
there
might
be
a
transaction
that
might
be
taking
a
little
longer
than
traditional
or
that
that
could
be
that
usually
usually
it
could
could
take
so
this.
This
would
obviously
knowing
that
information
and
improving.
It
would
also
improve
basic
city
services.
A
Okay-
and
maybe
I
know
you
provided
one
example
michael,
can
you
just
for
the
people
that
might
be
listening?
Can
you
break
it
down
a
little
bit
machine
learning.
Tell
us
tell
us
about
that
again.
I
know
you
provided
the
definition,
but
just
give
it
to
us
again,
just
so
that
we
all
can
be
clear
on
that.
C
Yeah
sure
so
you
know
the
machine
learning
is
in
in
the
context
of
this
project.
Is
you
know
it's
really
about
taking
those
insights
having
the
the
computer
system
itself
be
able
to
analyze
that
system
data
over
time?
To
really
understand
you
know
what
what
what
is
normal
and
what's
an
anomaly
you
know.
So
as
we
get
this
machine
learning,
it
might
not
get
everything
a
hundred
percent
right
in
terms
of
flagging
things.
C
It
might
you
know
it
might
flag
some
things
that
you
know
that
we
might
look
at
and
it
wasn't
an
issue,
but
it
can.
It
can
take
it
from
you
know.
We
might
have
30
things
a
day
that
we're
trying
to
look
at
and
it
might
help
us
narrow
it
to
the
three
things
that
are
really
anomalous
so
that
we
can
focus
our
energy
in
the
right
places,
but
it's
really
about
taking
these
large
amounts
of
data
and
being
able
to
help
us
understand
sort
of
the
anomalous
things
that
are
happening
within
these.
C
These
large
amounts
of
data
that
we're
producing
and
another
sort
of
aspect
of
this
is
you
know,
is
something
called
synthetic
transactions
so
that
we
can
simulate
what
a
user
might
experience
so,
rather
than
just
seeing
technically
behind
the
scenes,
whether
the
processor
on
the
computer
or
memory
are
being
utilized,
we
can
actually
step
through
the
process
as
if
we
were
a
member
of
the
public
to
see
not
just
if
it
looks
good
from
the
technology
side,
but
to
really
understand
whether
a
real
end
user
would
be
able
to
effectively
make
their
way
through
this
process.
A
Thank
you.
Thank
you
michael.
I
I
also
want
to
mention
that
we
are
joined
by
city
council
at
lodge
anissa
sabi
george,
before
I
have
one
final
question,
but
I
wanted
to
give
my
colleague,
counselor
sabi
george,
an
opportunity
to
either
present
an
opening
statement
and
or
ask
questions
at
the
same
time,
so
counselor
savvy
george
you're
on
mute,
but
thank
you
for
thank
you
for
being
on.
A
Thank
you.
Thank
you,
councillor
flynn.
I
know
I'm
joining
a
few
minutes
late,
so
I'll
skip
opening
statement.
Thank
you.
A
Thank
you
councillor
and
then
my
final
question
maybe
either
to
david
or
michael,
I
I
know
we
talked
about
this
as
a
one-time
grant.
120
000,
do
you
need,
as
we
go
further
into
the
year,
do
you
think
you'll
need
additional
funding
to
continue
this
service?
If
we
have
the
grant
do
we
need
to
include
something
in
the
budget
next
year
or
the
year
after?
A
I
just
want
to
make
sure
that
we're
thinking
you
know
both
short
term
and
long
term
to
make
sure
that
we
can
continue
providing
these
services
over
the
internet
and
that
there
is
funding
available.
I
know
this
will
be
helpful,
but
I
guess
maybe
sometime
down
the
road.
If
you
want
to
come
back
again
and
let
us
know
that
how
the
program
is
working
and
or
if
there's
any
funding
related
issues.
B
This
is
thank
you
counselor.
I
mean
that's
a
very
good
question,
this
monitoring
of
our
environment,
all
of
our
applications,
all
of
our
systems
that
we
provide
to
our
end
users
to
our
residents
every
single
day
is
something
that
we
are
looking
to
monitor
and
get
a
deeper
level
of
understanding
every
single
day,
whereas,
even
though
this
is
a
one-time
funding
request
our
funding
asked
and
in
to
to
to
build
out
our
a
deeper
level
of
our
monitoring,
this
is
not
something
that
we
need
to
turn
off.
B
This
is
something
that
we
will
constantly
start
building
upon.
So
I
definitely
see
ask
coming
in
the
next
physical
year
to
continue
to
build
on
this
good
work
that
we
are.
We
are
starting
now.
A
Okay,
okay,
excellent!
I
don't
have
any
further
questions,
I'm
just
taking
one
final
look
to
see
if
any
of
my
other
colleagues
are
here.
A
I
don't
have
any,
I
don't
have
any
other
colleagues
joining
ways:
counselor
savvy
george,
you
don't
have
any
questions,
you
don't
have
any
questions.
A
I
don't
have
any
questions
this
morning,
okay,
so
I'm
going
to
recommend
at
the
next
city
council
meeting
on
on
on
the
next
time
we
meet
that
we
vote
on
and
approve
the
120
000
grant
award,
and
I
want
to
say
thank
you
to
michael.
I
want
to
say
thank
you
to
david.
A
I
want
to
say
thank
you
to
juan
lopez
and
kerry
jordan,
also
from
city
council,
central
staff,
but
michael
and
david
to
the
do
a
team
and
to
the
workfor
workers
you
have
there.
We
want
to
say
thank
you
for
your
professionalism
and
hard
work
as
well
and
appreciate
you
coming
before
the
city,
council,
city
or
neighborhood
services
to
explain
the
grant
and
educate
the
public
about
the
great
work
that
you're
doing
and
how
this
impacts
basic
city
services
across
our
city.
So
again,
thank
you,
michael
thank
you.