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From YouTube: Making the most of Microsoft Search
Description
Modern information workers need to find knowledge quickly and easily regardless of where the data resides. Intelligent search is more than just ”finding” information, it’s intelligent AND actionable. In this session, Bill shows you how Microsoft Search is more than just results - it’s answers, people, insights wherever you’re working providing consistent, great experiences across the apps and services you use everyday.
Speaker: Bill Baer, senior product manager
Learn more at the Microsoft Search resource center: https://resources.techcommunity.microsoft.com/microsoft-search/
A
Hello
and
welcome
to
microsoft,
ignite
my
name
is
bill,
baer
senior
product
manager
for
microsoft,
search
assistant
and
intelligence
at
microsoft,
and
today
we'll
be
talking
about
making
the
most
of
microsoft
search.
Why
is
search
important
if
you
think
about
it?
Statistically,
the
growth
of
data
has
been
exponential.
A
A
A
microsoft
search
also
leverages
the
global
perspective
of
the
microsoft
graph.
So
the
results
you
see
are
personalized
and
tailored
for
you
as
an
individual,
microsoft
search,
also
services,
the
most
relevant
content
for
your
users.
Again,
using
the
global
perspective
of
the
microsoft
graph
and
leveraging
deep
learning
models,
it
provides
the
most
relevant
and
contextual
results
to
users
from
the
very
first
day
and
lastly,
it's
easy
to
get
started
with
microsoft
search.
You
can
start
and
maintain
with
minimal
effort,
because
microsoft
search
is
part
of
your
microsoft
365
subscription.
A
So
it's
ready
when
you
are
scales
with
you,
as
well
as
your
business
and
as
your
content
grows.
So
let's
talk
about
a
few
of
the
things
that
you
can
do
with
microsoft,
search
to
help
improve
the
experience
for
users
inside
of
your
organization.
First
microsoft
search
allows
you
to
curate
and
create
results
using
microsoft,
search
answers.
A
Answers
are
a
mechanism
for
you
to
promote
authoritative
content
from
across
the
organization.
There
are
a
variety
of
different
answers
that
you
can
create
and
curate
when
you're
using
microsoft,
search
first
of
all
acronyms
inside
an
organization,
individuals
always
don't
know
the
meaning
of
an
acronym
or
an
abbreviation
with
microsoft
search.
You
can
create
acronyms
that
are
commonly
used
in
your
organization
and
microsoft,
search
mines,
acronyms
from
content
from
within
your
organization.
A
So,
for
example,
across
microsoft
search,
you
can
ask
what
is
t-e-e
and
you'll
get
results
for
t-e-e,
whether
those
results
were
extracted
from
a
document
such
as
the
first
example
text
entity
extraction,
which
was
from
a
file
entity,
extraction,
basics,
that's
representative
of
a
mind,
result
and
then
out
the
bottom.
We
have
trusted
execution
environment.
That's
a
created
result
that
was
curated
by
the
search
administrator,
as
you
can
see,
it
says
published
by
contoso,
as
opposed
to
being
from
a
file
or
from
an
email.
A
In
addition,
you
can
also
create
bookmarks.
This
is
a
way
for
you
to
promote,
authoritative
content
above
the
ranked
results
across
microsoft,
search
canvases.
Those
can
be
inside
or
outside
of
the
organization.
So
in
this
particular
example,
in
microsoft,
teams,
when
employee
asks
time
off
expressed
as
a
set
of
keywords,
you
can
promote
a
bookmark
to
direct
them
to
the
most
appropriate
resource
to
requesting
time
off.
A
In
addition,
we
also
provide
q
a
answers.
Q.
A
answers
are
very
similar
to
bookmarks.
However,
they
answer
the
user's
question.
Instead
of
just
providing
a
link
to
a
resource
or
a
webpage,
the
easiest
way
to
think
about
bookmarks
and
q
and
a's
is
that
bookmarks
are
generated
when
the
query
is
expressed
as
a
set
of
keywords,
whereas
q
and
a's
are
generated
when
the
query
is
expressed
as
a
question.
A
In
addition,
you
can
also
create
and
curate
topics.
If
you
subscribe
to
viva
topics,
a
topic
answer
again
is
promoted
above
the
ranked
results
so
inside
of
the
organization.
When
an
employee
queries,
cip,
they
can
get
an
answer
for
the
contoso
innovation
and
process
topic.
Answer
and
topic
answers
consolidate
important
information
and
people
related
to
a
specific
topic.
They
also
provide
synonyms
and
acronyms
used
for
that
particular
topic
itself.
A
In
addition,
coming
soon,
you'll
also
be
able
to
provide
employees
in
the
organization,
knowledge,
answers
and
knowledge
answers
provide
a
direct
answer
to
questions
from
authoritative
information
in
your
organization
across
sharepoint
and
onedrive
content
effectively.
What
we
use
is
a
model
that
we
call
the
touring
model,
it's
a
transformer
based
generative
language
model
that
can
complete
and
complete
sentences
and
generate
summaries
from
documents
inside
of
your
organization.
A
So
let's
try
some
sample
queries.
The
first
query
we'll
try
is
how
much
will
contoso
match
for
volunteer
hour
so
we'll
go
ahead
and
execute
this
query
and
you'll
notice
right
at
the
top
of
the
results
page,
we
have
an
authoritative
answer.
The
answer
itself
is
an
actual
answer
to
the
individual's
query.
A
So
when
they
ask
how
much
will
contoso
match,
the
response
is
contoso
volunteer
program
when
employees
volunteer
at
least
10
hours
in
the
community,
contoso
will
donate
25
dollars
an
hour
to
the
eligible
organization
they
serve,
but
what
you'll
notice
is
that
answer
is
actually
based
on
information
from
a
document
within
the
organization.
Let's
go
ahead
and
take
a
look
at
this
document
itself.
A
If
I
open
up
the
document
where
it
derived
that
answer
there's
quite
a
bit
of
information
here,
but
our
model
was
smart
enough
to
find
the
most
appropriate
information
from
within
that
document
that
satisfied
the
user's
intent
for
that
particular
query.
Let's
take
a
look
at
a
couple
of
other
examples
of
semantic
understanding
and
machine
reading
comprehension.
A
A
And
what
you'll
notice
is,
even
though
I
put
tesla
charring
stating
intentionally
misspelling
a
couple
of
words
in
that
particular
query.
Our
model,
using
semantic
understanding,
was
smart
enough
to
still
find
the
answer
as
you'll
notice
up
here.
It
asks
if
I
meant
tesla
charging
station,
but
most
important.
A
It
understands
that
tesla
and
electric
vehicle
are
synonymous
so,
instead
of
just
providing
me
results
for
tesla
charging
station,
it
actually
provided
me
results
for
electric
vehicle
charging
stations,
we'll
try.
One
last
query,
let's
say
what's
the
number
to
call
shuttle,
for
example,
in
this
particular
case,
you'll
notice
again,
an
answer
was
delivered
in
response
to
my
query,
based
on
information
found
in
a
document
from
within
the
organization,
and
this
capability
will
be
coming
to
sharepoint.
Soon.
A
Let's
talk
about
some
of
the
other
answers
that
are
available
in
microsoft.
Search.
One
of
those
is
a
file
answer.
It
allows
individuals
in
the
organization
to
discover
answers
in
context
or
to
find
files
using
natural
language.
So,
for
example,
here
we
can
say
files
from
emily
and
we
can
distill
our
results
down
to
just
files
that
were
shared
by
emily.
We
also
have
calendar
answers
and
calendar
answers
are
an
example
of
the
actionable
search
experiences
you'll
find
with
microsoft
search.
A
Let's
go
ahead
and
talk
about
a
few
other
things
that
are
coming
to
microsoft,
search,
consolidating
data
stores,
one
of
the
key
strengths
of
microsoft,
search
microsoft
search,
provides
the
ability
to
connect
to
disparate
data
sources
using
microsoft
graph
connectors.
So
you
can
bring
that
information
into
microsoft,
search
as
well
as
microsoft,
365
experiences.
A
Let's
talk
about
some
of
the
new
things
that
are
coming
with
microsoft,
graph,
connectors.
First
of
all,
we're
bringing
a
microsoft
graph
connector
for
jira.
This
will
help
users
find
jira
issues
and
tickets
directly
from
microsoft
search.
So
in
this
particular
example,
I
can
ask
as
a
customer
search
and
retrieve
results
directly
from
jira.
A
In
addition,
graph
connectors
will
also
support
intelligent
discovery.
So,
if
you're
familiar
with
working
in
the
office
backstage
for
an
example
and
you
receive
recommendations,
those
recommendations
will
not
only
be
inclusive
of
information
in
microsoft.
365,
but
as
well
as
your
connected
systems,
such
as
jira
confluence
or
any
other
third-party
data
source,
without
the
need
for
searching
for
that
information,
so
relevant.
Intelligent
information
is
right
at
your
fingertips
without
you
actually
having
to
go,
seek
it
out
using
microsoft,
graph
connectors
with
microsoft
search.
A
In
addition,
we're
also
increasing
the
scale
for
microsoft,
graph,
connectors
up
to
5
million
items
per
connection
with
10
connections.
So
now
you
can
ingest
up
to
50
million
items
using
microsoft,
graph
connectors
with
microsoft
search
and
you
can
use
any
graph
connector
either
those
that
are
developed
by
microsoft
or
our
partners,
or
even
using
our
graph
apis
to
build
your
own
custom
connectors.
So
now
you
can
index
the
largest
data
sources,
such
as
files
on
sharepoint
server
or
file
shares,
or
even
your
own
line
of
business
applications
if
necessary.
A
In
addition,
you'll
also
be
able
to
leverage
templates
and
sample
code
language
support
for
c
sharp,
as
well
as
a
nuget
package
built
on.net,
standard,
2.0
and,
lastly,
you'll
be
able
to
publish
and
manage
your
microsoft
built,
as
well
as
your
custom,
connectors
in
a
single
place.
Now
so
right
through
the
search
and
intelligence
admin
center
via
the
data
sources,
tab
you'll
be
able
to
manage
both
your
microsoft
connectors,
as
well
as
your
custom,
connectors
all
via
a
single
pane
of
glass.
A
A
We
also
have
available
servicenow,
catalog
azure
devops
wiki
confluence
cloud,
as
discussed
earlier
jira,
as
discussed
earlier
sharepoint
server
on
premises
as
well
as
connectors
for
csv
content,
in
addition
to
the
higher
ingestion
capacity
up
to
five
million
items
per
connection
and
then
coming
soon,
we're
also
providing
support
for
servicenow
tickets,
confluence
server
and
data
center
jira
server
and
data
center
schoology
rule-based
enrichment.
Our
graph
connector
sdk
is
previously
discussed,
as
well
as
a
new
search
surface.
A
So
now
from
the
windows
search
box,
you'll
be
able
to
discover
information
ingested
using
microsoft,
graph
connectors,
you
can
sign
up
to
preview
any
of
these
features
at
the
link
below
aka
ms
graph
connector
preview,
if
you're
looking
for
any
other
connectors,
we'd
love
your
feedback.
If
you
want
to
provide
feedback
on
connectors
that
you're
looking
for,
you
can
reach
us
at
the
link
below
aka.ms
graph,
connectors
feedback,
let's
go
ahead
and
talk
about
another
new
way,
we're
introducing
for
you
to
be
able
to
connect
to
important
data
stores.
A
So
we
just
talked
about
consolidating
important
data
stores.
Now
we're
going
to
talk
about
connecting
to
an
important
data
stores
and
we're
going
to
do
that
via
a
new
federated
search
model.
The
difference
between
federated
search
and
microsoft.
Graph
connectors
is
that
federated
search
provides
query
time
merging
of
results,
whereas
graph
connectors
provide
index
time
merging
of
results
they
allow
the
federated
search.
A
Connectors
will
allow
you
to
integrate
your
existing
enterprise
search
investments
into
microsoft
search
so,
for
example,
if
there's
a
particular
data
source
where
the
cost
of
ingestion
doesn't
warrant
ingestion,
you
can
always
use
our
federated
search
platform
and
provide
query
time
merging
of
those
results,
perhaps
you're
bound
by
corporate
or
regulatory
compliance
to
where
that
data
needs
to
remain
within
its
data
store
or
particular
system.
You
can
address
that
boundary
by
using
federated
search,
ip
and
data
sensitivity,
migration,
overhead,
perhaps
your
business
strategy
or
you
need
for
custom
logic
on
the
query
path
itself.
A
Get
great
natural
language
invocation,
trigger
patterns
and
sample
queries
for
seating
you'll,
be
able
to
customize
search,
relevance
and
query
time
logic
for
that
particular
provider,
as
well
as
provide
support
for
answers
and
verticals
in
the
sharepoint
or
in
the
microsoft
search
serp.
In
addition,
we
also
will
provide
a
microsoft
bot
framework,
so
you
can
reuse
an
existing
bot
with
minor
changes
and
from
an
administrative
perspective,
you'll
be
able
to
review,
enable
and
disable
the
custom
provider.
A
So,
let's
talk
about
dynamics,
365
federation,
so
dynamics,
365
federation
provides
a
very
simple
way
for
users
to
discover
the
most
relevant
customer
and
business
data
stored
in
dynamics.
365.,
it's
going
to
be
a
native
connector
available
directly
from
microsoft.
It's
going
to
be
easy
to
administer
it's
going
to
be
easy
to
use.
A
Look
at
azure,
cognitive
search
federation.
This
one
is
coming
soon
as
well.
Azure
cognitive
search
federation
will
provide
a
single
place
to
see
search
results
from
azure
cognitive
search
as
well
as
organizational
search
results
from
microsoft
search
now,
let's
talk
about
some
of
the
different
ways
that
you
can
tailor
search
to
work
best
for
your
company
from
a
customization
perspective,
a
few
things
that
we're
bringing
to
microsoft
search.
This
one
is
available
in
targeted
release
today.
A
This
is
the
ability
to
add
new
search
tabs
to
show
results
needed
for
your
users
and
filters
to
ease
choosing
of
rights
results.
As
mentioned
in
targeted
release.
You
can
create
those
filters
on
your
verticals
today.
So
in
this
particular
case,
as
you
can
see,
we
have
a
custom
vertical
for
support
and
we
have
a
number
of
custom
filters
that
we've
developed
for
that
particular
vertical,
such
as
account
installation,
privacy,
wi-fi
security,
relocation
or
perhaps
printer
setup
coming
soon.
A
So,
if
I
search
for
maternity
leave,
I
can
have
a
policy
vertical
that
shows
maternity
leave
information
specific
to
my
geo
location.
In
addition,
coming
soon
we're
also
going
to
allow
you
to
customize
results
to
show
rich
information,
so
you
can
help
users
find
the
right
information
on
the
search
results
page.
So,
for
example,
when
searching
for
design
courses,
not
only
do
I
get
a
result
for
design
courses,
but
through
this
customization
support.
A
You'll
be
able
to
add
important,
actionable
information
such
as
course,
type
online
delivery
and
duration,
so
extracting
that
important
information
and
making
it
part
of
the
search
experience
to
further
enhance
productivity
with
microsoft,
search
in
addition
to
the
simple
keyword
queries
that
you've
seen,
we
also
support
natural
language
search.
Sometimes
finding
the
right
words
to
search
for
content
can
be
hard
and
everybody's,
not
a
power
user,
familiar
with
special
search
syntax
in
order
to
be
able
to
find
information
such
as
the
and
or
in
any
operators.
A
But
now
search
speaks
your
language,
so
you
can
search
in
the
same
way
as
you
would
say
it
so,
with
the
ability
to
understand
these
natural
language
expressions,
we
can
interpret
your
intent
and
get
you
the
right
results.
So
today
in
outlook
you
can
search
for
show
me
email
from
john
or
find
email
from
john
or
simply
from
john,
but
then
you
can
be
more
expressive
and
you
can
say,
show
me
email
from
john
about
service
descriptions
with
attachments
and
easily
narrow
your
results
down
to
the
most
important
information
inside
of
search.
A
In
addition,
this
works
inside
of
microsoft
teams
as
well.
So
you
can
say
show
me
chats
from
bill
from
yesterday.
Again
these
natural
language
queries
are
available
in
outlook
in
teams
and
coming
soon
to
your
sharepoint,
onedrive
bing
and
office.com
microsoft,
search
canvases.
What
we
refer
to
as
workplace
search
so
not
only
will
be
able
to
use
natural
language
search
in
outlook
and
teams.
You'll
also
be
able
to
use
it
across
your
organizational
information
in
other
search
endpoints
as
well.
Now,
we'll
briefly
touch
on
the
ability
to
extend
search
to
your
own
custom
apps.
A
So
we
talked
a
little
bit
about
customizing,
search
to
drive
and
enhance
user
experiences
or
to
drive
productivity
and
create
better,
more
efficient
user
experiences.
But
you
can
also
extend
search
to
your
own
custom
applications
using
our
indexing
and
query
apis.
For
example,
you
can
find
code
samples,
tutorials
and
more
at
our
github
repository
at
github.com
forward,
slash
microsoft,
das,
shirts.
We
have
a
couple
of
examples
of
how
you
can
bring
microsoft,
search
to
your
custom,
apps
and
services,
in
addition
to
some
recommendations
as
to
how
you
can
best
leverage
the
microsoft
search
api.
A
In
addition,
we're
going
to
be
bringing
more
apis
to
help
administrators
automate
some
of
the
search
management
experiences
inside
of
microsoft
search.
Another
exciting
thing
that's
coming
is
you'll
also
be
able
to
enrich
individual
profiles
using
a
lot
of
the
same
capabilities
that
we
use
to
ingest
information
for
the
purposes
of
search
with
microsoft.
Search
so
now,
you'll
be
able
to
enrich
users
profiles
with
information
from
a
variety
of
hrms
systems,
and
that
helps
individuals,
kind
of
learn
more
about
others
for
better
contextualization
and
collaboration.
A
So
using
those
same
graph
connectors,
you
can
enrich
profiles
from
a
variety
of
different
hr
management
systems
and
display
important
information
such
as
skills
and
proficiencies
expertise,
interests
projects.
All
of
that
information
can
be
ingested
from
a
disparate
system,
an
hrms
system
outside
of
the
boundaries
of
microsoft
365
and
brought
directly
into
the
profile
card.
A
So,
as
you
can
see
in
this
particular
example,
we
have
information
down
at
the
bottom
of
the
profile
card
that
was
ingested
from
workday,
and
in
that
particular
case
it
was
topics
that
particular
individual
has
a
proficiency
or
has
expressed
a
proficiency
in,
and
this
capability
is
coming
soon.
So,
for
example,
not
only
will
you
be
able
to
ingest
that
information
and
make
it
available
via
the
profile
card
to
create
a
great
people
directory,
it's
also
search
driven.
A
Is
you
need
to
understand
that
search
will
surface
any
content
that
you
either
have
implicit
or
explicit
access
to,
meaning
that
it
shared
been
shared
directly
with
you
or
been
shared
with
a
group
that
you
have
membership
within
a
root
cause
of
this
is
predominantly
over.
Sharing
files
are
stored
on
public
sites,
for
example,
where
everyone
has
access
or
they're
stored
with
large
groups.
A
A
A
You
can
stop
recent
files
from
appearing
for
a
group
of
people
by
using
our
item,
insights,
apis
and
policies
or,
lastly,
you
can
turn
off
delve
to
turn
off
recent
files
in
the
case
where
files
are
shared
with
large
groups
of
individuals
again
implicit
sharing
again,
my
name
is
bill:
baer
senior
product
manager
for
microsoft,
search
assistant
and
intelligence
at
microsoft.
I
hope
you've
enjoyed
today's
session
on
making
the
most
of
microsoft
search
as
well
as
seeing
some
of
the
roadmap
of
what's
to
come
with
microsoft,
search.