Communications
infrastructures
and
compute
resources
are
critical
to
enabling
advanced
science
research
projects.
Science
cyberinfrastructures
must
meet
clear
performance
requirements,
be
adjustable
changing
requirements
facilitate
reproducibility.
These
characteristics
can
met
by
a
programmable
infrastructure
with
guaranteed
such
as
the
BRIDGES
cross
Atlantic
While
programmability
should
foundational
design
principle
for
cyberinfrastructures,
itself
might
not
sufficient
scientists
who
have
no
or
limited
experience
IT
technologies
operate
their
testbeds
independent
of
support
teams.
The
trend
offering
"no
code"
platforms
users
without
core
competency
achieve
business
goals
manifest
in
context
educational
well.
In
this
paper
we
describe
architecture
platform
which
would
enable
easily
configure
modify
using
large
language
model-based
interface
integrated
composable
services
infrastructure.
testbed
is
used
an
example
integration
where
functionality
benefits
projects
operated
large,
diverse
Engineering Science & Technology Journal,
Journal Year:
2023,
Volume and Issue:
4(5), P. 285 - 307
Published: Nov. 29, 2023
This
paper
delves
into
the
transformative
role
of
Artificial
Intelligence
(AI)
and
Data
Analytics
in
realm
Business
(BI),
marking
a
significant
shift
landscape
business
decision-making
strategic
planning.
The
study's
purpose
was
to
comprehensively
explore
evolution
BI,
underscored
by
integration
AI
advanced
data
analytics,
project
future
trajectory
these
technologies
within
context.
Adopting
systematic
literature
review
as
its
methodology,
study
meticulously
analyzed
wide
array
scholarly
articles
industry
reports.
approach
facilitated
deep
understanding
historical
development
current
synergy
between
AI,
Analytics,
emerging
trends
shaping
their
future.
inclusion
exclusion
criteria
for
sources
were
rigorously
applied
ensure
relevance
quality
information
gathered.
findings
highlighted
paradigm
from
traditional
processing
methods
AI-driven
predictive
significantly
enhancing
efficiency,
accuracy,
capabilities
BI
tools.
has
redefined
operations,
offering
unprecedented
insights
fostering
more
informed
processes.
Conclusively,
posits
that
is
fundamental,
rather
than
transient,
operations.
It
recommends
further
exploration
ethical
implications
user-friendly
tools
non-technical
users,
an
examination
long-term
impacts
across
various
industries.
classical
engaging
tone
aims
captivate
inform
diverse
audience,
academic
researchers
practitioners.
Keywords:
Intelligence,
Predictive
Analytics.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(17), P. 7763 - 7763
Published: Sept. 6, 2024
The
functioning
of
modern
urban
environments
relies
heavily
on
the
public
transport
system.
Given
spatial,
economic,
and
sustainability
criteria,
in
larger
areas
is
unrivaled.
system’s
role
depends
quality
service
it
offers.
Achieving
desired
requires
a
design
that
meets
demands.
This
paper
uses
data-driven
approach
to
address
headway
deviations
lines
explores
ways
improve
regularity
during
phase.
Headway
critical
dynamic
element
for
organization
passenger
quality.
Deviations
between
planned
actual
headways
represent
disturbances.
On
with
under
15
min,
passengers
typically
do
not
consult
schedules,
making
punctuality
less
crucial.
Reduced
affects
average
travel
time,
time
uncertainty,
comfort.
Ideally,
system
operates
regular
headways.
However,
disturbances
can
spread
affect
subsequent
departures,
leading
vehicle
bunching.
While
previous
research
focused
single
primary
disturbances,
this
study,
help
AI
(reinforcement
learning),
examines
multiple
cities
Belgrade,
Novi
Sad,
Niš.
goal
model
cumulative
impact
these
movement.
By
ranking
parameter
influences
using
automatic
optimization
static
line
elements,
aims
increase
resilience
results
could
also
be
useful
developing
adaptive
management
systems
leverage
IoT
technologies
continuously
optimize
response
real-time
data,
ultimately
enhancing
satisfaction.
F1000Research,
Journal Year:
2025,
Volume and Issue:
14, P. 126 - 126
Published: Jan. 24, 2025
Background
Artificial
Intelligence
(AI)
is
at
the
forefront
of
today’s
technological
revolution,
enhancing
efficiency
in
many
organisations
and
sectors.
However,
some
research
environments,
its
adoption
tempered
by
risks
AI
poses
to
data
protection,
ethics,
integrity.
For
funding
(RFOs),
although
there
interest
application
boost
productivity,
also
uncertainty
around
AI’s
utility
safe
integration
into
organisational
systems
processes.
The
scoping
review
explored:
‘What
does
evidence
say
about
current
emerging
use
AI?’;
‘What
are
potential
benefits
for
RFOs?’
considerations
Methods
A
was
undertaken
with
no
study,
language,
or
field
limits.
Due
rapidly
evolving
field,
searches
were
limited
last
three
years
(2022-2024).
Four
databases
searched
academic
grey
literature
February
2024
(including
13
professional
organisation
websites).
classification
framework
captured
potential,
RFOs.
Results
122
eligible
articles
revealed
that
solutions
could
potentially
benefit
RFOs
processes,
administration,
insights,
operational
management,
strategic
decision-making.
These
ranged
from
algorithms
management
platforms,
frameworks,
guidelines,
business
models.
several
need
be
addressed
before
can
successfully
integrate
(e.g.,
improving
quality,
regulating
ethical
use,
science
training).
Conclusion
While
a
breadth
AI-driven
improve
operations,
decision-making
assess
‘AI
readiness’.
Although
advances
solution
address
accountability,
governance
societal
impact,
landscape.
Economics and Management,
Journal Year:
2025,
Volume and Issue:
30(12), P. 1521 - 1534
Published: Feb. 6, 2025
Aim.
The
work
aimed
to
conduct
a
comprehensive
analysis
of
decision
support
systems
(DSS)
based
on
artificial
intelligence
(AI)
technologies,
with
an
emphasis
their
integration
into
business
processes
and
performance
evaluation.
Objectives.
seeks
study
the
main
stages
AI-based
DSS
development,
determine
key
indicators
for
assessing
financial,
operational,
strategic
impact,
select
challenges
in
such
implementations
long-term
effects
systems,
as
well
formulate
recommendations
improving
interpretability
adaptability.
Methods.
employed
methods
system
analysis,
generalization
practical
experience,
research.
article
considers
modern
trends
use
AI,
successful
cases
from
practice
large
companies
(JPMorgan
Chase,
General
Electric,
Amazon),
concept
J-curve
productivity
analyzing
effects.
Results.
AI
provides
best
potential
increasing
efficiency,
reducing
costs,
quality
management
decisions.
A
efficiency
assessment
model
has
been
developed,
which
includes
both
quantitative
qualitative
indicators.
Conclusions.
can
be
used
not
only
increase
accuracy
rate
decisions,
but
also
optimize
resource
utilization
adapt
fast-paced
market
environment.
However,
requires
solving
number
problems,
including
improvement
data
quality,
enhancement
algorithms,
adapting
personnel
new
technologies.
Hybrid
models
that
combine
capabilities
cognitive
open
up
promising
direction
capable
adaptability
under
conditions
uncertainty.
implementation
proposed
approaches
leads
increased
competitiveness
sustainability
companies.
Pan-African journal of education and social sciences,
Journal Year:
2025,
Volume and Issue:
6(1), P. 49 - 62
Published: May 12, 2025
This
article
reviews
the
challenges
and
opportunities
associated
with
integrating
Artificial
intelligence
(AI)
into
business
operations
through
lens
of
Dynamic
Capabilities
Theory
(DCT).
is
becoming
a
pivotal
tool
for
enhancing
organizational
efficiency
driving
innovation
across
industries.
In
this
literature
review,
author
examines
how
businesses
can
effectively
implement
AI
to
improve
decision-making,
productivity,
customer
experience
while
addressing
data
privacy,
algorithmic
bias,
ethical
implications.
The
paper
highlights
relevance
DCT,
which
emphasizes
importance
sensing,
seizing,
transforming
capabilities
in
navigating
these
complexities.
While
offers
substantial
benefits,
its
integration
fraught
that
require
organizations
strategically
adapt
their
structures,
processes,
skills.
concludes
by
underscoring
developing
frameworks,
investing
workforce
reskilling,
dynamic
ensure
successful
adoption
AI.
These
insights
provide
valuable
guidance
leaders
seeking
leverage
achieve
sustainable
growth
competitive
advantage.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 26, 2024
Abstract
Background
Artificial
Intelligence
(AI)
is
at
the
forefront
of
today’s
technological
revolution,
enhancing
efficiency
in
many
organisations
and
sectors.
However,
some
research
environments,
its
adoption
tempered
by
risks
AI
poses
to
data
protection,
ethics,
integrity.
For
funding
(RFOs),
although
there
interest
application
boost
productivity,
also
uncertainty
around
AI’s
utility
safe
integration
into
organisational
systems
processes.
The
scoping
review
explored:
‘What
does
evidence
say
about
current
emerging
use
AI?’;
are
potential
benefits
for
RFOs?’
considerations
Methods
A
was
undertaken
with
no
study,
language,
or
field
limits.
Due
rapidly
evolving
field,
searches
were
limited
last
three
years
(2022-2024).
Four
databases
searched
academic
grey
literature
February
2024
(including
13
professional
organisation
websites).
classification
framework
captured
potential,
RFOs.
Results
122
eligible
articles
revealed
that
solutions
could
potentially
benefit
RFOs
processes,
administration,
insights,
operational
management,
strategic
decision-making.
These
ranged
from
algorithms
management
platforms,
frameworks,
guidelines,
business
models.
several
need
be
addressed
before
can
successfully
integrate
(e.g.,
improving
quality,
regulating
ethical
use,
science
training).
Conclusion
While
a
breadth
AI-driven
improve
operations,
decision-making
assess
‘AI
readiness’.
Although
advances
solution
address
accountability,
governance
societal
impact,
landscape.
