Practice, progress, and proficiency in sustainability,
Год журнала:
2024,
Номер
unknown, С. 59 - 82
Опубликована: Ноя. 1, 2024
Artificial
intelligence
(AI)
and
machine
learning
(ML)
are
becoming
indispensable
tools
for
increasing
the
efficiency
sustainability
of
this
renewable
energy
source
ocean
industry
has
made
significant
strides
in
recent
years.
The
initial
stages
research
development
when
AI
ML
first
started
to
emerge
wave
tidal
space.
development,
management,
upkeep
maritime
systems
have
all
changed
as
a
result
these
innovations.
An
massive,
unexplored
resource
that
potential
make
an
important
contribution
world's
mix
is
energy.
In
order
maximize
efficacy
conversion,
chapter
focuses
on
incorporation
artificial
technologies.
It
looks
at
technologies'
capability
support
clean
solutions
build
sustainable
environment
particularly
context
urban
living.
Administrative Sciences,
Год журнала:
2025,
Номер
15(1), С. 20 - 20
Опубликована: Янв. 7, 2025
This
paper
explores
how
AI
drives
GCC
sector
retail
towards
the
fulfillment
of
UN
SDGs.
Analyzing
a
survey
conducted
on
410
executives,
using
PLS-SEM,
this
study
underlines
role
in
promoting
operational
efficiency,
waste
reduction,
and
consumer
engagement
with
greener
products.
Key
highlights
include
that
AI-enabled
marketing
strategies
improve
adoption
sustainable
practices
among
consumers;
AI-powered
smart
distribution
channels
enhance
supply
chain
reduce
carbon
emissions,
optimize
logistics.
For
retailer,
practical
applications
use
demand
forecasting
to
potentially
waste,
personalized
efficiently
promote
products,
deploying
systems
energy
consumption.
While
these
benefits
are
real,
data
privacy
algorithmic
bias
remain
valid
concerns,
thus
underlining
need
for
ethics
transparency
practice
AI.
The
following
provides
actionable
insights
retailers
align
sustainability
goals,
fostering
competitive
advantages
environmental
responsibility.
Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 395 - 420
Опубликована: Фев. 21, 2025
Harnessing
raw
energy
from
the
sea
for
sustainable
urban
living,
driven
by
Artificial
Intelligence
(AI)
and
Machine
Learning
(ML),
through
wave
tidal
conversion
could
be
a
paradigm-shifting
breakthrough.
These
renewable
sources
are
able
to
utilize
non-stop
movement
of
oceans
tides,
which
will
work
in
decreasing
carbon
footprints
cities.
Through
AI
ML
algorithms,
capture,
storage,
distribution
process
is
made
way
efficient
predicting
patterns
or
enhancing
grid
integration.
Together,
these
technologies
provide
fast
online
decisions,
dependability
scalability
units.
AI-based
solutions
waves
conversion,
therefore,
can
become
key
signaling
point
addressing
an
ever-increasing
demand
most
modern-day
infrastructural
platforms
as
well
means
forces
global
climate
change
mitigation
consider
their
toward
providing
smarter
greener
futures
our
communities.
E3S Web of Conferences,
Год журнала:
2025,
Номер
621, С. 03014 - 03014
Опубликована: Янв. 1, 2025
The
role
and
place
of
digitisation
digitalisation
in
multimodal
transportation
cargoes
within
the
context
innovative
development
world
transport
logistics
markets
are
highlighted.
conducted
critical
analysis
scientific
sources
allowed
to
identify
unresolved
part
problem,
which
is
define
concepts
for
market
participants.
methodological
basis
study
comprises
analytical
methods,
methods
expert
assessments,
system
pairwise
comparisons,
abstract
logical
methods.
novelty
proposed
determined
by
clarification
conceptual
apparatus
defining
‘digitisation’
‘digitalisation’,
establishing
features
integration
transformations,
impact
digitisation,
digital
transformation
on
process
organising
transportation,
as
well
authors’
vision
innovation
operators
carriers.
It
has
been
that
will
create
qualitatively
new
conditions
participants,
described
detail
study.
In
carriers,
purpose,
strategic
goals,
subject-partner
relations,
tools
means
implementation
were
defined,
characterised
detail.
Practice, progress, and proficiency in sustainability,
Год журнала:
2024,
Номер
unknown, С. 274 - 298
Опубликована: Июль 26, 2024
Artificial
intelligence
(AI)
and
machine
learning
(ML)
are
becoming
essential
tools
for
increasing
the
efficiency
sustainability
of
this
renewable
energy
source
ocean
industry
has
made
significant
strides
in
recent
years.
The
early
stages
industry's
research
development
when
AI
ML
first
started
to
emerge
space.
development,
management,
upkeep
maritime
systems
have
all
changed
as
a
result
these
innovations.
An
enormous,
unexplored
resource
that
potential
make
an
important
contribution
world's
mix
is
wave
energy.
In
order
maximize
efficacy
conversion,
chapter
explores
incorporation
artificial
internet
things
(IoT)
technologies.
It
looks
at
technologies'
ability
support
clean
solutions
build
sustainable
environment
particularly
context
smart
cities.
