Advances in business information systems and analytics book series,
Год журнала:
2024,
Номер
unknown, С. 29 - 53
Опубликована: Июнь 28, 2024
In
today's
data-driven
business
landscape,
the
strategic
utilization
of
analytics
has
become
paramount
for
organizations
seeking
to
gain
a
competitive
advantage
and
drive
value.
This
chapter
explores
transformative
potential
leveraging
strategies
extract
insights,
make
informed
decisions,
propel
organizational
growth.
The
authors
delve
into
various
facets
analytics,
including
descriptive,
diagnostic,
predictive,
prescriptive
elucidating
their
roles
in
uncovering
trends,
understanding
customer
behavior,
optimizing
operations.
Additionally,
they
examine
importance
data
quality,
governance,
ethics
ensuring
reliability
integrity
initiatives.
Through
real-world
case
studies
examples,
illustrate
how
across
industries
harness
enhance
decision-making,
innovate
products
services,
differentiate
themselves
marketplace.
Moreover,
explore
emerging
trends
technologies
shaping
future
analytics.
Applied System Innovation,
Год журнала:
2024,
Номер
7(1), С. 14 - 14
Опубликована: Фев. 8, 2024
In
an
era
defined
by
technological
disruption,
the
integration
of
artificial
intelligence
(AI)
into
business
processes
is
both
strategic
and
challenging.
As
AI
continues
to
disrupt
reshape
industries
revolutionize
processes,
organizations
must
take
proactive
steps
assess
their
readiness
capabilities
effectively
leverage
technologies.
This
research
focuses
on
assessment
elements
required
evaluate
organization’s
current
state
in
preparation
for
AI-based
digital
transformation.
based
a
literature
review
practical
insights
derived
from
extensive
experience
industrial
system
engineering.
paper
outlines
key
that
should
consider
ensure
successful
sustainable
emphasizes
need
comprehensive
approach
data
infrastructure,
governance
practices,
existing
capabilities.
Furthermore,
work
evaluation
talent
skills
within
organization,
considering
significance
fostering
innovative
culture
addressing
change
management
challenges.
The
results
this
study
provide
with
By
adopting
implementing
proposed
guidelines,
can
gain
holistic
perspective
standing,
identify
opportunities
integration,
mitigate
potential
risks,
strategize
path
forwards
evolving
landscape
AI-driven
Health Science Reports,
Год журнала:
2025,
Номер
8(1)
Опубликована: Янв. 1, 2025
Artificial
Intelligence
(AI)
beginning
to
integrate
in
healthcare,
is
ushering
a
transformative
era,
impacting
diagnostics,
altering
personalized
treatment,
and
significantly
improving
operational
efficiency.
The
study
aims
describe
AI
including
important
technologies
like
robotics,
machine
learning
(ML),
deep
(DL),
natural
language
processing
(NLP),
investigate
how
these
are
used
patient
interaction,
predictive
analytics,
remote
monitoring.
goal
of
this
review
present
thorough
analysis
AI's
effects
on
healthcare
while
providing
stakeholders
with
road
map
for
navigating
changing
environment.
This
analyzes
the
impact
using
data
from
Web
Science
(2014-2024),
focusing
keywords
AI,
ML,
applications.
It
examines
uses
by
synthesizing
recent
literature
real-world
case
studies,
such
as
Google
Health
IBM
Watson
Health,
highlighting
technologies,
their
useful
applications,
difficulties
putting
them
into
practice,
problems
security
resource
limitations.
also
discusses
new
developments
they
can
affect
society.
findings
demonstrate
enhancing
skills
medical
professionals,
diagnosis,
opening
door
more
individualized
treatment
plans,
reflected
steady
rise
AI-related
publications
158
articles
(3.54%)
2014
731
(16.33%)
2024.
Core
applications
monitoring
analytics
improve
effectiveness
involvement.
However,
there
major
obstacles
mainstream
implementation
issues
budget
constraints.
Healthcare
may
be
transformed
but
its
successful
use
requires
ethical
responsible
use.
To
meet
demands
sector
guarantee
application
evaluation
highlights
necessity
ongoing
research,
instruction,
multidisciplinary
cooperation.
In
future,
integrating
responsibly
will
essential
optimizing
advantages
reducing
related
dangers.
Energies,
Год журнала:
2023,
Номер
16(6), С. 2636 - 2636
Опубликована: Март 10, 2023
The
normal
development
of
“smart
buildings,”
which
calls
for
integrating
sensors,
rich
data,
and
artificial
intelligence
(AI)
simulation
models,
promises
to
usher
in
a
new
era
architectural
concepts.
AI
models
can
improve
home
functions
users’
comfort
significantly
cut
energy
consumption
through
better
control,
increased
reliability,
automation.
This
article
highlights
the
potential
using
design
functionality
smart
houses,
especially
implementing
living
spaces.
case
study
provides
examples
how
be
embedded
homes
user
experience
optimize
efficiency.
Next,
will
explore
thoroughly
analyze
thorough
analysis
current
research
on
use
technology
variety
innovative
ideas,
including
interior
Smart
Building
System
Framework
based
digital
twins
(DT).
Finally,
explores
advantages
homes,
emphasizing
Through
study,
theme
seeks
provide
ideas
effectively
functionality,
convenience,
overarching
goal
is
harness
by
transforming
we
live
our
improving
quality
life.
concludes
discussing
unresolved
issues
future
areas
usage
houses.
Incorporating
into
benefits
homeowners,
providing
excellent
safety
convenience
Jurnal Minfo Polgan,
Год журнала:
2023,
Номер
12(1), С. 424 - 431
Опубликована: Май 11, 2023
Tourism
is
one
of
the
important
economic
sectors
for
many
countries,
including
Indonesia.
Along
with
development
technology
and
internet,
way
people
seek
information
about
tourism
has
also
changed.
This
research
aims
to
conduct
a
review
ChatGPT
its
potential
in
improving
services.
The
focus
this
qualitative.
Methods
gathering
included
paying
close
attention
taking
detailed
notes,
subsequent
analysis
data
reduction,
visualisation,
inference.
study
arrived
at
conclusion
that
use
AI
specifically
great
services
traveller
experience
industry.
can
assist
service
providers
providing
solutions
answering
tourists'
questions
quickly
efficiently,
as
well
strengthening
position
company
or
organisation
amid
increasingly
fierce
competition.
Humanities and Social Sciences Communications,
Год журнала:
2023,
Номер
10(1)
Опубликована: Ноя. 8, 2023
Abstract
The
objective
of
this
study
is
to
determine
the
impact
artificial
intelligence
(AI)
on
earnings
before
interest,
taxes,
depreciation,
and
amortization
(EBITDA)
firms
as
a
proxy
their
financial
economic
margins
by
improving
revenues
minimizing
expenses.
This
positive
market
value
scalability
sustainability
companies.
methodology
based
business
plan
that
considers
savings
obtained
traditional
firm
implementing
AI.
Specifically,
sensitivity
analysis
will
demonstrate
AI
key
parameters,
leading
sustainability.
Additionally,
mathematical
interpretation,
network
theory,
be
produced
provide
compare
added
two
ecosystems
(without
with
adds
up
new
nodes
strengthens
existing
ones).
main
contribution
paper
combination
unrelated
approaches,
showing
potential
in
scalable
ecosystems.
In
future
research,
innovative
could
extended
other
technological
applications.
Journal of Open Innovation Technology Market and Complexity,
Год журнала:
2024,
Номер
10(1), С. 100210 - 100210
Опубликована: Янв. 10, 2024
Innovativeness
and
digitalization
of
enterprises
various
countries
is
fundamental
to
their
development
building
a
competitive
knowledge-based
economy.
These
issues
are
well
understood
in
the
European
Union
(EU),
which
promotes
sustainable
its
economy,
for
innovativeness
vital
importance.
The
paper
addresses
this
issue
by
presenting
results
study
level
EU.
objectives
research
were
assess
EU-27
states
determine
relationship
between
these
enterprises,
as
impact
selected
economic,
energy,
social
environmental
parameters
on
processes.
importance
interaction
areas,
causes
methodology
developed
conducted
consider
both
dimensions
business
activity
simultaneously.
To
achieve
goals,
an
original
was
developed.
Its
basis
set
18
indicators
characterizing
state
member
states.
Three
methods
Multiple-criteria
decision-making
(EDAS,
MOORA,
VIKOR)
Hurwicz
criterion
used
primary
research.
On
other
hand,
CRITIC,
Entropy
equal
weights
Laplace
indicators.
multi-criteria
approach
under
made
it
possible
formulate
conclusions
answers
questions
posed.
unequivocally
indicate
link
process
R&D
expenditures
EU
countries.
definitely
higher
group
so-called
"old
EU-14'
than
"new
EU-13"
provide
ample
opportunities
studied
processes
(digitalization
innovativeness)
wide
scope
carried
out
makes
use
findings
build
strategies
future
economic
policies
entire
individual
universality
also
gives
range
possibilities
application
further
Management Decision,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 11, 2024
Purpose
This
study
demonstrates
how
artificial
intelligence
(AI)
shapes
the
strategic
planning
process
in
volatile,
uncertain,
complex
and
ambiguous
(VUCA)
business
environments.
Having
adopted
various
domains
of
Cynefin
framework,
research
explores
AI's
transformative
potential
provide
insights
regarding
organisations
can
harness
AI-driven
solutions
for
planning.
Design/methodology/approach
conceptual
paper
theorises
role
AI
a
VUCA
world
by
integrating
extant
knowledge
across
multiple
literature
streams.
The
“model
paper”
approach
was
to
theoretical
framework
predicting
relationships
among
considered
concepts.
Findings
highlights
application
manage
complexities
decision-making
process,
impact
at
different
stages
planning,
required
characteristics
within
be
supported
attendant
challenges
posed
integration
uncertain
landscape.
Originality/value
pioneers
exploration
landscape,
guided
framework.
Thus,
it
enriches
scholarly
discourse
expands
frontiers.
AI and Ethics,
Год журнала:
2024,
Номер
4(3), С. 727 - 742
Опубликована: Апрель 2, 2024
Abstract
Our
global
landscape
of
emerging
technologies
is
increasingly
affected
by
artificial
intelligence
(AI)
hype,
a
phenomenon
with
significant
large-scale
consequences
for
the
AI
narratives
being
created
today.
This
paper
aims
to
dissect
hype
in
light
its
core
mechanisms,
drawing
comparisons
between
current
wave
and
historical
episodes
concluding
that
historically
unmatched
terms
magnitude,
scale
planetary
social
costs.
We
identify
discuss
socio-technical
mechanisms
fueling
including
anthropomorphism,
proliferation
self-proclaimed
“experts”,
geopolitical
private
sector
“fear
missing
out”
trends
overuse
misappropriation
term
“AI”
technologies.
The
second
part
seeks
highlight
often-overlooked
costs
hype.
examine
as
exerts
tremendous
pressure
on
finite
resources
energy
consumption.
Additionally,
we
focus
connection
socio-economic
injustices,
perpetuation
inequalities
huge
associated
redistribution
wealth
human
intelligence.
In
conclusion,
offer
insights
into
implications
how
mitigate
moving
forward.
give
recommendations
developers,
regulators,
deployers
public
can
navigate
relationship
innovation,
investment
scientific
exploration,
while
addressing
critical
societal
environmental
challenges.
