2021年最具战略意义技术趋势（2022年）
下面是小编为大家整理的2021年最具战略意义技术趋势（2022年）,供大家参考。
Intr oduction
Disruption
is the
hallmark
of
2 02 0 . Although
many leader s
ar e
used
to
some
le v el
of
const ant
change , CO VID- 1 9
impacted
the
w orld
in
w a ys no
one
could ha v e
pr edicted.
In
turn,
or ganiz ations
ha v e
had
to piv ot
and
str ategiz e , adapt
and
change
in
ne w
w a ys. As
or ganiz ations
continue
to
r e spond
to
the
crisis and
e xplor e
ne w
w a ys to
oper ate
and
driv e
gr ow th, the
Gar tner
top
strategic
tr ends
highlight
ar e as
of oppor tunity
and
w a ys f or
or ganiz ations
to
di ff er entiate themselv e s
fr om
competitor s.
Or ganiz ations
that
ar e
pr epar ed
to
piv ot
and
adapt will
w e ather
all
type s
of
disruptions.
As
alw a ys, the se strategic
technology
tr ends
do
not
oper ate
independently of
e ach
other , but
r ather
the y
build
on
and
r einf or ce
e ach other . T ogether
the y
enable
or ganiz ational
plasticity
that will
help
guide
or ganiz ations
in
the
ne xt
fiv e
y e ar s.
R e se ar ch
V ice
Pr e sident,
Gar tner
This y e ar’ s
tr ends
f all
along
thr ee
theme s:
P eople centricity , location
independence
and
r e silient
deliv ery . • De spite
the
pandemic
changing
ho w many
people
w ork
and
inter act
with
or ganiz ations,
people ar e
still
at
the
center
of
all
busine ss
—
and
the y
need digit aliz ed
pr oce sse s
to
function
in
toda y’ s
en vir onment.
• CO VID- 1 9
has shif ted
wher e emplo y ee s,
customer s,
supplier s
and
or ganiz ational ecos ystems
ph ysically
e xist.
L ocation
independence r equir e s
a
technology
shif t
to
suppor t
this
ne w
version of
busine ss.
• Whether
a
pandemic
or
a
r ece ssion, v olatility
e xists
in
the
w orld.
Or ganiz ations
that
ar e
pr epar ed
to
piv ot
and
adapt
will w e ather
all
type s
of
disruptions.
As
alw a ys, the se
strategic technology
tr ends
do
not
oper ate
independently
of
e ach other , but
r ather
the y
build
on
and
r einf or ce
e ach
other . T ogether
the y
enable
or ganiz ational
plasticity
that
will help
guide
or ganiz ations
in
the
ne xt
fiv e
y e ar s.
P eopl e
centricit y
Internet
of B eha vior s
The Internet
of
Beha vior s
(IoB)
captur e s
the
“ digit al
dust”
of people ’ s
liv e s
fr om
a
v ariety
of
sour ce s,
and
that
inf ormation can
be
used
b y
public
or
priv ate
entitie s
to
influence
beha vior . The dat a
can
come
fr om
a
r ange
of
sour ce s,
fr om
commer cial customer
dat a
to
social
media
to
f acial
r ecognition,
and
as mor e
and
mor e
dat a
become s
a vailable , the
IoB will
captur e incr e asing
amounts
of
inf ormation.
A dditionally , the
technology that
puts
all
the
dat a
together
and
dr a ws
insight
is gr o wing incr e asingly
sophisticated.
The IoB pr e sents
significant
and
per v asiv e
social
and
ethical implications.
Collecting
dat a
to
influence
beha vior s
has the potential
to
be
a
po w er ful
tool,
and
its
social
r eception
might depend
on
just
ho w
he a vy-handed
or ganiz ations
ar e
with what
the y’ r e
tr ying
to
do .
F or
e xample , while
driv er s
ma y
not
object
to
ha ving
speed, br aking
and
cornering
tr ack ed
in
e xchange
f or
lo w er
insur ance pr emiums,
the y
might
not
be
as
r eceptiv e
to
la w
enf or cement also
being
able
to
tr ack
that
inf ormation.
A t
the
end
of
the
da y , the
IoB must
off er
a
mutual
benefit
to
both
par tie s
or
risk
being r ejected
b y
consumer s.
F or
cer t ain
geogr aphical
ar e as,
much
of
the
scope
and e x ecution
of
an
IoB will
depend
on
local
priv acy
la ws, which
ma y
aff ect
ho w
dat a
can
be
used
and
in
what
w a y .
P eopl e
centricit y
T ot al
e xperience
T ot al
e xperience
combine s
tr aditionally
siloed
discipline s
lik e multie xperience
(MX),
customer
e xperience
(C X),
emplo y ee e xperience
(EX)
and
user
e xperience
(U X),
and
link s
them to
cr e ate
a
better
o verall
e xperience
f or
all
par tie s.
Not
only doe s
this
str e amline
the
e xperience
f or
e veryone , because or ganiz ations
ar e
optimizing
acr oss all
e xperience s,
it
off er s an
e x cellent
oppor tunity
to
diff er entiate
an
or ganiz ation fr om
competitor s.
W ith
an
o verall
goal
of
tr ansf orming
the
entir e
e xperience , tot al
e xperience
enable s
or ganiz ations
to
le an
into
the challenge s
cr e ated
b y
CO VID- 1 9
and
identif y
ne w
activitie s that
the y
can
integr ate
and
build
on.
T ot al
e xperience
in
pr actice
A lar ge
telecommunications
compan y
tr ansf ormed
its
entir e e xperience
to
impr o v e
saf ety
and
satisf action.
F ir st,
it
deplo y ed
an
appointment
s ystem
via
an
e xisting
app . When
customer s
arrived
f or
their
appointment
and
came w i t h i n
75
f eet
of
the
stor e , the y
r eceiv ed
tw o
things:
1. A notification
to
guide
them
thr ough
the
check -in
pr oce ss.
2. An
aler t
letting
them
kno w
ho w
long
it
w ould
be befor e
the y
could
saf ely
enter
the
stor e
and
maint ain social
dist ance . T o
enhance
emplo y ee
saf ety , the
compan y
also
deplo y ed technology
that
allo w ed
associate s
to
co-br o wse
customer har dw ar e
without
ph ysically
touching
the
device .
P eopl e
centricit y
Privac y -enhancing comput a tion
Priv acy-enhancing
comput ation
comprise s
thr ee
type s
of technologie s
that
pr otect
dat a
while
it’ s
being
used
to
enable secur e
dat a
pr oce ssing
and
dat a
analy tics:
• The fir st
pr ovide s
a
trusted
en vir onment
in
which
sensitiv e dat a
can
be
pr oce ssed
or
analyz ed.
It
include s
trusted
thir d par tie s
and
har dw ar e-trusted
e x ecution
en vir onments
(also called
confidential
computing).
• The second
per f orms
pr oce ssing
and
analy tics
in
a decentr aliz ed
manner . It
include s
f eder ated
machine le arning
and
priv acy -a w ar e
machine
le arning.
• The thir d
tr ansf orms
dat a
and
algorithms
befor e pr oce ssing
or
analy tics.
It
include s
diff er ential
priv acy , homomorphic
encr yption,
secur e
multipar ty
comput ation, z ero-kno wledge
pr oof s,
priv ate
set
inter section
and priv ate
inf ormation
r etrie v al.
This enable s
or ganiz ations
to
saf ely
share
dat a
in
untrusted en vir onments,
an
incr e asingly
in-demand
de sir e
as
the
amount of
dat a
gr o ws
alongside
the
need
to
pr otect
that
dat a.
Wha t
is
homomorphic
encryption ?
Homomorphic
encr yption
(HE)
is a
cr yptogr aphic
method that
enable s
thir d
par tie s
to
pr oce ss
encr ypted
dat a
and r eturn
an
encr ypted
r e sult
to
the
dat a
owner , while
pr o viding no
kno wledge
about
the
dat a
or
the
r e sults.
HE
enable s algorithm
pr ovider s
to
pr otect
propriet ar y
algorithms
and dat a
owner s
to
k eep
dat a
priv ate . Homomorphic
encr yption is still
maturing.
In
pr actice
toda y , fully
homomorphic
encr yption is not
f ast
enough
f or
most
busine ss
implement ations.
L oc a tio n
independenc e
Distributed
cloud
Distributed
cloud
pr ovide s
public
cloud
options
to
diff er ent ph ysical
locations.
Essentially , the
public
cloud
compan y maint ains,
oper ate s
and
e v olv e s
the
ser vice s,
but
ph ysically e x ecute s
at
the
point
of
need.
This helps
with
latenc y
issue s, and
also
priv acy
r egulations
that
r equir e
cer t ain
dat a
to
r emain in
a
specific
geogr aphical
location.
It
allo ws
customer s
to benefit
fr om
public
cloud
and
a v oid
costly
and
complicated priv ate
cloud
solutions.
The
man y
style s
of
distributed
cloud:
This is a
popular
v endor off ering,
but
it
off er s
only
a
fr action
of
the
pr ovider’ s full
suite
and
r emains
r elativ ely
immatur e .
Distributed
ser vice s that
inter act
dir ectly
with
edge
de vice s.
The distribution
of
cloud ser vice s
into
node s
in
a
city
or
metr o
ar e a
connecting
to multiple
customer s.
The deliv ery
of
distributed
cloud ser vice s
as
par t
of
a
5G telco / carrier
netw ork.
The deliv ery
of
cloud
ser vice s designed
to
integr ate
with
global
netw ork
infr astructur e such
as
cell
to w er s,
hubs
and
r outer s.
L oc a tio n
independenc e
An y wher e oper a tions
An y wher e
oper ations
r ef er s
to
an
IT
oper ating
model designed
to
suppor t
customer s
e very wher e , enable emplo y ee s
e very wher e
and
manage
the
deplo yment
of busine ss
ser vice s
acr oss distributed
infr astructur e . The model
f or
an y wher e
oper ations
is “ digit al
fir st,
r emote
fir st . ”
Ho w e ver , it’ s
not
as
simple
as
just
oper ating
r emotely
—
the model
must
o ff er
unique
v alue-add
e xperience s.
Pr o viding a
se amle ss
and
scalable
digit al
e xperience
r equir e s
change s in
the
technology
infr astructur e , management
pr actice s, security
and
go vernance
policie s,
and
emplo y ee
and customer
engagement
models.
This
technology
f ounda tion
compris e s fiv e
building
block s:
W ork str e am
collabor ation, meeting
solutions,
cloud
office
suite s,
digit al
whiteboar ding and
smar t
w ork space s
P ass w or dle ss
and
multif actor authentication,
z er o
trust
netw ork
acce ss
(ZTNA),
secur e
acce ss ser vice
edge
(S A SE)
and
identity
as
the
ne w
security
perimeter
Distributed
cloud,
the
Io T , API gate w a ys, AI at
the
edge
and
edge
pr oce ssing
Digit al
e xperience monitoring,
w orkplace
analy tics,
r emote
suppor t
and cont actle ss
inter actions
T AIOps,
endpoint management,
SaaS
management
plat f orms,
self -ser vice
and z er o-touch
pr ovisioning
L oc a tio n
independenc e
Cyber s ecurity me sh
The c yber se...