Advances in business strategy and competitive advantage book series,
Год журнала:
2024,
Номер
unknown, С. 331 - 346
Опубликована: Дек. 18, 2024
This
paper
examines
how
AI
and
ML
affect
stakeholders'
involvement
in
sustainable
finance
small
medium-sized
businesses,
focusing
on
trading,
risk
management,
financial
advice.
It
begins
with
a
historical
overview
follows
SMEs
from
their
early
use
to
widespread
adoption
today.
The
study
institutions
these
technologies
improve
customer
support,
revenue,
service
digitization
for
finance.
Algorithmic
predictive
analysis,
advisory,
operational
management
are
explored.
emphasizes
stakeholder
engagement
can
help.
offers
comprehensive
case
studies,
theoretical
frameworks,
future
research
help
institutions,
asset
managers,
other
organizations
engagement.
Frontiers in Human Dynamics,
Год журнала:
2024,
Номер
6
Опубликована: Июль 3, 2024
The
rapid
integration
of
artificial
intelligence
(AI)
systems
into
various
domains
has
raised
concerns
about
their
impact
on
individual
and
societal
wellbeing,
particularly
due
to
the
lack
transparency
accountability
in
decision-making
processes.
This
review
aims
provide
an
overview
key
legal
ethical
challenges
associated
with
implementing
AI
systems.
identifies
four
main
thematic
areas:
technical
approaches,
regulatory
frameworks,
considerations,
interdisciplinary
multi-stakeholder
approaches.
By
synthesizing
current
state
research
proposing
strategies
for
policymakers,
this
contributes
ongoing
discourse
responsible
governance
lays
foundation
future
critical
area.
Ultimately,
goal
is
promote
wellbeing
by
ensuring
that
are
developed
deployed
a
transparent,
accountable,
manner.
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
research
paper
explores
the
transformative
possibilities
arising
from
integration
of
ChatGPT,
an
advanced
language
model,
into
domain
intelligent
manufacturing.
In
face
rapid
changes
in
manufacturing
landscape,
there
is
increasing
demand
for
adaptive
and
systems
to
elevate
efficiency,
productivity,
decision-making
processes.
study
investigates
incorporation
ChatGPT's
or
Bard
cutting-edge
natural
processing
capabilities
various
forefront
aspects
establish
a
novel
paradigm
The
ChatGPT
processes
presents
versatile
approach
tackle
challenges
seize
opportunities
within
modern
production
systems.
A
pivotal
aspect
this
lies
augmenting
human-machine
collaboration
factory.
understanding
facilitates
seamless
communication
between
human
operators
automated
systems,
fostering
more
intuitive
responsive
environment.
Additionally,
delves
utilization
predictive
maintenance
facilities.
Through
analysis
historical
data
real-time
information,
can
provide
insights
potential
equipment
failures,
enabling
proactive
strategies
that
mitigate
downtime
optimize
resource
utilization.
also
application
supply
chain
management.
model's
capacity
process
vast
amounts
textual
contributes
improved
forecasting,
inventory
optimization,
risk
results
resilient
agile
ecosystem
capable
adapting
dynamic
market
conditions.
Furthermore,
role
quality
control
defect
detection.
model
analyze
intricate
patterns
data,
identifying
anomalies
defects
with
high
degree
accuracy.
Integrating
assurance
ensures
higher
product
quality,
reducing
waste,
enhancing
overall
customer
satisfaction.
findings
highlight
revolutionize
processes,
propelling
industry
towards
greater
adaptability,
competitiveness
rapidly
evolving
global
market.
Frontiers in Computer Science,
Год журнала:
2025,
Номер
6
Опубликована: Янв. 10, 2025
The
integration
of
Cognitive
Computing
and
Natural
Language
Processing
(NLP)
represents
a
revolutionary
development
Artificial
Intelligence,
allowing
the
creation
systems
capable
learning,
reasoning,
communicating
with
people
in
natural
meaningful
way.
This
article
explores
convergence
these
technologies
highlights
how
they
combine
to
form
intelligent
understanding
interpreting
human
language.
A
comprehensive
taxonomy
NLP
is
presented,
which
classifies
key
tools
techniques
that
improve
machine
language
generation.
also
practical
applications,
particular,
accessibility
for
visual
impairments
using
advanced
Intelligence-based
tools,
as
well
analyze
political
discourse
on
social
networks,
where
provide
insight
into
public
sentiment
information
dynamics.
Despite
significant
achievements,
several
challenges
persist.
Ethical
concerns,
including
biases
AI,
data
privacy
societal
impact,
are
critical
address
responsible
deployment.
complexity
poses
interpretative
challenges,
while
multimodal
real-world
deployment
difficulties
impact
model
performance
scalability.
Future
directions
proposed
overcome
through
improved
robustness,
generalization,
explainability
models,
enhanced
scalable,
resource-efficient
thus
provides
view
current
advancements
outlines
roadmap
inclusive
future
NLP.
Machine Learning and Knowledge Extraction,
Год журнала:
2025,
Номер
7(1), С. 13 - 13
Опубликована: Фев. 7, 2025
The
integration
of
machine
learning
(ML)
with
big
data
has
revolutionized
industries
by
enabling
the
extraction
valuable
insights
from
vast
and
complex
datasets.
This
convergence
fueled
advancements
in
various
fields,
leading
to
development
sophisticated
models
capable
addressing
complicated
problems.
However,
application
ML
environments
presents
significant
challenges,
including
issues
related
scalability,
quality,
model
interpretability,
privacy,
handling
diverse
high-velocity
data.
survey
provides
a
comprehensive
overview
current
state
applications
data,
systematically
identifying
key
challenges
recent
field.
By
critically
analyzing
existing
methodologies,
this
paper
highlights
gaps
research
proposes
future
directions
for
scalable,
interpretable,
privacy-preserving
techniques.
Additionally,
addresses
ethical
societal
implications
emphasizing
need
responsible
equitable
approaches
harnessing
these
technologies.
presented
aim
guide
contribute
ongoing
discourse
on
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
The
urgent
acceleration
of
climate
change
necessitates
the
development
innovative
and
adaptive
mitigation
strategies.
This
study
investigates
how
ChatGPT
or
Bard,
an
advanced
language
model,
enhances
efforts
to
mitigate
change.
By
leveraging
natural
processing
machine
learning,
facilitates
improved
communication,
collaboration,
decision-making
among
stakeholders,
thereby
accelerating
implementation
paper
begins
by
examining
context
change,
emphasizing
need
for
robust
measures.
It
underscores
limitations
traditional
approaches
introduces
transformative
potential
integrating
into
action
frameworks.
model's
capacity
analyze
extensive
datasets
generate
human-like
text
allows
it
comprehend
intricate
science,
distill
key
insights,
communicate
them
effectively.
research
identifies
strategies
that
benefit
from
ChatGPT's
intervention.
One
such
strategy
involves
optimizing
deployment
renewable
energy.
assists
in
identifying
optimal
locations
energy
infrastructure,
considering
geographical
climatic
factors.
Additionally,
model
aids
developing
sophisticated
management
systems,
enhancing
efficiency
reliability
sources.
In
sustainable
agriculture,
contributes
providing
real-time
data
analysis
precision
farming.
helps
farmers
optimize
resource
utilization,
minimize
environmental
impact,
adopt
climate-resilient
agricultural
practices.
Moreover,
formulating
policies
promote
land
use
forest
conservation.
also
explores
role
resilience
through
risk
assessment
adaptation
planning.
analyzing
data,
vulnerable
regions
targeted
infrastructure
resilience,
disaster
preparedness,
community
engagement.
Furthermore,
discusses
fostering
global
collaboration.
cross-border
information
exchange,
knowledge
sharing,
formulation
unified
policies.
collaborative
approach
is
essential
addressing
transboundary
nature
achieving
international
goals.
harnessing
capabilities,
stakeholders
can
unlock
new
dimensions
innovation,
paving
way
a
more
resilient
future.
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
research
delves
into
the
utilization
of
advanced
artificial
intelligence
(AI),
specifically
ChatGPT
or
Bard,
to
improve
strategies
for
monitoring
and
controlling
water
air
pollution.
Given
escalating
concerns
surrounding
environmental
degradation
its
repercussions
on
public
health,
there
is
a
pressing
demand
innovative
pollution
management
techniques.
investigation
centers
harnessing
capabilities
ChatGPT,
an
language
model,
address
real-time
data
analysis,
decision-making,
engagement
challenges
within
realm
quality.
Incorporating
cutting-edge
methods
in
monitoring,
such
as
sensor
networks,
satellite
imagery,
IoT
devices,
this
aims
obtain
comprehensive
understanding
dynamics.
Nevertheless,
substantial
volume
presents
processing
extracting
meaningful
insights.
employed
intelligent
tool
proficient
comprehending
natural
queries
delivering
insightful
analyses.
integration
streamlines
interpretation
intricate
sets,
enabling
swift
decision-making
control
authorities.
Moreover,
assumes
pivotal
role
by
serving
user-friendly
interface
disseminating
information
levels,
regulatory
measures,
preventive
actions.
Through
interactive
conversations,
it
enhances
communication
between
agencies
general
public,
cultivating
awareness
encouraging
participation
initiatives.
paper
underscores
significance
collaborative
human-AI
approach
tackling
multifaceted
The
also
ethical
considerations
associated
with
AI-driven
emphasizing
importance
responsible
AI
implementation.
As
technologies
progress,
proposed
framework
contribute
ongoing
discourse
sustainable
involvement.
By
synergizing
state-of-the-art
techniques,
seeks
offer
efficacious
solution
advancing
contemporary
landscape.
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
The
infusion
of
generative
artificial
intelligence
(AI)
stands
out
as
a
transformative
influence
in
civil
engineering,
reshaping
conventional
methodologies
and
elevating
the
effectiveness
precision
across
various
domains.
This
study
delves
into
nuanced
impact
ChatGPT,
potent
language
model,
key
realms
within
engineering:
Structural
Engineering,
Geotechnical
Transportation
Environmental
Water
Resources
Urban
Regional
Planning,
Materials
Coastal
Earthquake
Engineering.
Within
ChatGPT
assumes
central
role
formulating
refining
structural
designs.
By
deciphering
intricate
engineering
concepts
proposing
inventive
solutions,
assists
engineers
crafting
structures
that
not
only
exhibit
resilience
but
also
optimize
resource
utilization.
Its
proficiency
scrutinizing
extensive
datasets
delivering
insights
positions
it
an
invaluable
tool
for
augmenting
integrity
safety.
Engineering
benefits
from
ChatGPT's
aptitude
processing
interpreting
geological
geophysical
data.
Through
generation
reports
analyses,
aids
recognizing
potential
risks
suggesting
mitigation
strategies,
thereby
expediting
decision-making
geotechnical
projects.
In
realm
application
involves
streamlining
traffic
flow,
devising
intelligent
transportation
systems,
overall
infrastructure
planning.
natural
capabilities
facilitate
seamless
communication
collaboration
among
diverse
stakeholders
engaged
contributes
to
evaluation
environmental
studies,
assisting
planners
making
well-informed
decisions
prioritizing
sustainability.
Moreover,
its
capability
simulate
scenarios
formulation
effective
pollution
control
measures.
leverages
data
interpretation
modeling,
enabling
precise
predictions
water
flow
patterns
aiding
design
efficient
management
systems.
extends
contributions
where
urban
development
optimizing
land
use,
addressing
challenges
associated
with
population
growth
urbanization.
prowess
analysis
materials
enhanced
properties,
resilient
coastal
structures,
creation
earthquake-resistant
infrastructure.
research
paper
scrutinizes
how
integration
these
disciplines
heightens
efficiency
practices
unlocks
new
avenues
innovation,
sustainability,
face
evolving
challenges.
