International Journal of Scientific Research in Computer Science Engineering and Information Technology,
Год журнала:
2024,
Номер
10(6), С. 1779 - 1786
Опубликована: Дек. 19, 2024
This
comprehensive
article
examines
the
transformative
impact
of
AI-powered
financial
chatbots
in
insurance
industry,
focusing
on
evolution
from
traditional
manual
processes
to
automated
solutions.
The
investigates
technical
architecture,
role-specific
functionality,
security
frameworks,
and
performance
analytics
across
major
organizations
worldwide.
Through
extensive
research
analysis,
this
demonstrates
how
intelligent
automation
addresses
inefficiencies
operations
while
enhancing
data
accuracy,
improving
protocols,
delivering
substantial
operational
benefits.
findings
reveal
that
companies
implementing
these
advanced
systems
experience
significant
improvements
underwriting
efficiency,
agent
productivity,
compliance,
overall
effectiveness
maintaining
robust
protection
standards
regulatory
compliance.
Financial Engineering,
Год журнала:
2024,
Номер
2, С. 104 - 115
Опубликована: Апрель 18, 2024
The
insurance
industry
is
constantly
evolving
with
the
help
of
technological
advancements
across
globe.
purpose
this
study
was
to
explore
critical
factors
that
influence
adoption
digital
among
microentrepreneurs
in
Uganda.
involved
209
participants.
used
a
modified
DOI
theory
as
framework
and
analyzed
data
using
structural
equation
modeling
(IBM
SPSS
Amos
23.0).
results
indicated
knowledge
insurance,
relative
advantage,
perceived
trust
have
significant
positive
impact
on
micro-entrepreneurs
Conversely,
found
social
had
no
impact.
This
adds
valuable
insights
literature
aids
policymakers
managers
understanding
influential
for
implementation.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 249 - 276
Опубликована: Март 14, 2025
The
incorporation
of
advanced
technologies
offers
transformative
possibility
in
the
evolving
landscape
insurance
industry.
present
chapter
is
an
attempt
to
explore
impact
digital
revolution
and
applications
blockchain
technology
sector.
This
will
integration
Blockchain
technology,
machine
language
(ML),
Internet
Things
(IoT)
artificial
intelligence
(AI)
streamlining
operations
examine
role
Artificial
Technologies
driven
Smart
Contract
industry,
benefits
same
insurer-customer
relationship
challenges
implement
same.
provide
future
direction
adoption
industry
across
globe.
Journal of risk and financial management,
Год журнала:
2025,
Номер
18(4), С. 209 - 209
Опубликована: Апрель 13, 2025
One
essential
component
of
insurance
technology
(Insurtech)
is
peer-to-peer
(P2P)
insurance,
which
represents
a
transformative
shift
from
conventional
to
digital
platforms
by
fostering
community-based
risk
sharing.
This
study
contributes
the
body
knowledge
engaging
Technology
Acceptance
Model
(TAM2)
explore
how
perceived
usefulness,
ease
use,
subjective
norms,
and
trust
influence
adoption
P2P
moderating
income
on
these
relationships.
used
self-administered
survey
questionnaire
collect
data
short-term
clients
in
South
Africa.
The
was
analysed
using
confirmatory
factor
analysis
structural
equation
modelling
(SEM)
approach.
findings
demonstrate
that
norms
present
significant
positive
underscoring
relevance
value,
social
predicting
technologies,
particularly
insurance.
However,
exhibit
but
statistically
insignificant
relationship.
Additionally,
this
reveals
exerts
affecting
adoption,
implying
individuals
with
higher
incomes
are
responsive
factors
when
considering
highlights
need
for
policies
support
development
infrastructure,
as
its
accessibility
including
predicted
drivers
adoption.
Also,
policymakers
should
focus
creating
regulatory
environment
encourages
accountability
openness
International Journal of Scientific Research in Computer Science Engineering and Information Technology,
Год журнала:
2025,
Номер
11(1), С. 2311 - 2321
Опубликована: Фев. 10, 2025
This
comprehensive
article
explores
the
transformative
impact
of
advanced
data
analytics
on
insurance
risk
management.
The
examines
how
modern
analytical
approaches,
including
machine
learning,
natural
language
processing,
and
predictive
modeling,
are
revolutionizing
traditional
operations.
investigates
various
technical
implementations
across
fraud
detection,
claims
customer
segmentation,
assessment.
covers
integration
challenges,
real-time
processing
architectures,
scalability
solutions
while
exploring
business
these
technological
advancements.
also
discusses
emerging
technologies
future
developments
in
sector,
AI
integration,
IoT
applications,
smart
infrastructure
implementation,
providing
insights
into
innovations
reshaping
industry's
approach
to
management
service.
Insurance Markets and Companies,
Год журнала:
2025,
Номер
16(1), С. 64 - 73
Опубликована: Апрель 7, 2025
The
integration
of
insurance
technology
with
e-commerce
in
Saudi
Arabia
is
a
key
driver
financial
and
technological
advancement,
aligning
Vision
2030,
the
national
strategy
for
economic
diversification
digital
transformation.
This
study
examines
factors
influencing
this
integration,
assessing
both
enablers
barriers,
including
application
programming
interfaces,
artificial
intelligence,
real-time
risk
assessment,
cybersecurity,
outdated
infrastructure,
regulatory
alignment.
A
quantitative
approach
was
employed,
gathering
data
from
253
professionals
Arabia’s
sectors,
managers
handling
underwriting
investment,
compliance
officers
ensuring
compliance,
information
specialists
overseeing
system
policymakers
shaping
industry
regulations.
Structural
equation
modeling
revealed
that
interfaces
(β
=
0.78,
p
0.020),
intelligence
0.70,
0.025),
assessment
0.62,
0.030)
significantly
facilitate
while
cybersecurity
vulnerabilities
0.57,
0.035),
infrastructure
0.54,
0.040),
misalignment
0.035)
pose
major
barriers.
Additionally,
government
incentives
0.51,
0.040)
workforce
expertise
0.49,
influence
adoption
outcomes.
findings
highlight
need
harmonization,
enhanced
support,
training
to
seamless
ensure
long-term
sustainability
evolving
economy.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 73 - 108
Опубликована: Апрель 30, 2025
This
study
examines
how
Artificial
Intelligence
(AI)
transforms
insurance
marketing
strategies
through
machine
learning
and
predictive
analytics.
We
investigate
the
shift
from
traditional
approaches
to
AI-enabled
systems
that
deliver
personalized
solutions
streamlined
operations.
The
research
develops
validates
AI-Powered
Insurance
Marketing
Optimization
Framework
(AIMOF),
integrating
customer
data
analysis
with
dynamic
recommendations
automated
workflows.
Our
findings
demonstrate
AI
implementation
improves
cost
efficiency
retention
while
creating
competitive
advantages
personalization
faster
response
times.
addresses
challenges
including
quality,
system
complexity,
regulatory
compliance.
provides
strategic
guidelines
for
organizations
leveraging
in
operations
maintaining
ethical
considerations
an
increasingly
marketplace.
