Navigating a paradigm shift: Technology and user acceptance of big data and artificial intelligence among advertising and marketing practitioners
Journal of Business Research,
Journal Year:
2024,
Volume and Issue:
180, P. 114699 - 114699
Published: May 14, 2024
Language: Английский
A Novel Pipeline for Data Management and Analysis that Integrates Data Lakehouse Architecture into the Aeronautics Industry
Communications in computer and information science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 410 - 424
Published: Jan. 1, 2025
Language: Английский
A Comprehensive Survey on Big Data Analytics: Characteristics, Tools and Techniques
ACM Computing Surveys,
Journal Year:
2025,
Volume and Issue:
57(8), P. 1 - 33
Published: Feb. 15, 2025
Modern
computing
devices
generate
vast
amounts
of
diverse
data.
It
means
that
a
fast
transition
through
various
leads
to
big
data
production.
Big
with
high
velocity,
volume,
and
variety
presents
challenges
like
inconsistency,
scalability,
real-time
analysis,
tool
selection.
Although
numerous
solutions
have
been
proposed
for
processing,
they
are
often
limited
in
scope
effectiveness.
This
survey
aims
address
the
lack
comprehensive
analysis
relation
machine
learning
(ML)
Internet
Things
(IoT)
environments,
particularly
concerning
7Vs
emphasizes
significance
selecting
suitable
tools
each
unique
characteristic,
providing
structured
approach
manage
these
effectively.
The
article
systematically
reviews
characteristics
associated
techniques,
detailed
discussion
their
applications.
Additionally,
it
analyzes
existing
ML
methods
techniques
IoT
analytics
contexts.
Through
systematic
literature
review
(SLR),
we
examine
key
aspects,
including
core
concepts,
benefits,
limitations,
impact
on
algorithms
analytics.
We
highlight
groundbreaking
studies
addressing
future
research
enhance
data-driven
Language: Английский
Data management in industry: concepts, systematic review and future directions
Journal of Intelligent Manufacturing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 15, 2025
Abstract
Data
management,
particularly
in
industrial
environments,
is
increasingly
vital
due
to
the
necessity
of
handling
ever-growing
volumes
information,
commonly
referred
as
big
data.
This
survey
delves
into
various
papers
comprehend
practices
employed
within
settings
concerning
data
by
searching
for
relevant
keywords
Q1
Journals
related
management
manufacturing
databases
WebOfScience,
Scopus
and
IEEE.
Additionally,
a
contextual
overview
core
concepts
methods
different
aspects
process
was
conducted.
The
results
indicate
deficiency
methodology
across
implementations
even
same
types
industry
or
processes.
findings
also
highlight
several
key
principles
essential
constructing
an
efficient
optimized
system.
Language: Английский
Artificial Intelligence for Big Data in Modern Marketing: A Review about Trends, Applications, and Challenges.
Chantal Uwimana,
No information about this author
Clemence Niyigena,
No information about this author
Gedeon Nshutiyimana
No information about this author
et al.
International Journal of Latest Technology in Engineering Management & Applied Science,
Journal Year:
2025,
Volume and Issue:
14(2), P. 165 - 183
Published: March 13, 2025
Abstract:
The
rapid
digital
transformation
has
triggered
an
explosion
in
data
generation,
with
its
core
impact
on
the
marketing
landscape.
Big
data,
huge
volumes,
speed,
and
variety,
is
thus
a
significant
field
of
opportunities
challenges
for
marketers
seeking
to
unravel
actionable
insights.
Traditional
approaches
processing
are
only
inefficient
unable
manage
such
scale
complexity
data.
However,
advent
AI,
quite
few
advanced
tools
can
handle
big
greater
efficiency,
enabling
better
consumer
understanding,
personalization
strategies,
quick
decision-making.
It
revolutionized
marketing,
where
systems
now
analyze
datasets,
recognize
patterns,
predict
customer
behaviors.
From
descriptive
analytics,
shift
toward
predictive
prescriptive
empowered
businesses
optimize
campaigns
enhanced
experiences.
This
integration
AI
means
it
be
done
instantly,
real-time
response
fostering
more
relevant
engagement.
review
delivers
critical
outlook
current
trends
their
application
face
implementing
these
new
technologies.
Ethical
issues
around
privacy,
transparency,
bias
models
discussed.
paper
highlights
future
research
directions,
including
federated
learning,
quantum
computing,
multimodal
which
hold
great
promise
even
further
domain.
Language: Английский
Green supply chain management and SMEs sustainable performance in developing country: role of green knowledge sharing, green innovation and big data-driven supply chain
Discover Sustainability,
Journal Year:
2025,
Volume and Issue:
6(1)
Published: April 28, 2025
Language: Английский
Challenges and prospects in big data analytics: a comprehensive review of developments, hurdles, and future research directions
Zh. T. Turikpenova,
No information about this author
Gulnara Abitova
No information about this author
Bulletin of Shakarim University Technical Sciences,
Journal Year:
2023,
Volume and Issue:
3(11), P. 60 - 67
Published: Sept. 28, 2023
Big
data
and
business
analytics
are
trends
that
positively
affecting
the
world.
This
comprehensive
review
article
explores
shifting
paradigms
dynamic
within
Data
Technology
(BDT),
predominantly
for
last
5
years,
based
on
an
extensive
literature
comparative
analysis
methodology.
It
elucidates
transformative
influence
of
big
(BDA)
in
various
sectors,
emphasizing
rapid
ascendance
cloud
computing,
Artificial
Intelligence
(AI)
integration,
development
sophisticated
tools.
The
leverages
a
wealth
academic
market
research
to
underscore
predicted
expansion
market.
projected
growth
indicates
widespread
adoption
BDT
across
industries,
with
healthcare
becoming
significant
consumer,
motivated
by
demand
personalized
medicine
improved
patient
care.
then
navigates
emerging
such
as
open
usage
ethical
concerns
surrounding
data,
indicating
increasing
necessity
stringent
guidelines
use
robust
individual
control
mechanisms.
is
derived
from
methodical
recent
scholarly
articles
industry
reports.
also
scrutinizes
evolving
definition
"big
data"
through
study
3V
model
expanded
7V
sources,
reflecting
nature
unique
challenges
introduced
modern
analytics.
outlines
successful
implementation
projects
highlights
current
directions
reviewed
areas
suggest
good
management
manipulation
large
sets
using
techniques
tools
can
deliver
actionable
insights
create
values.
Language: Английский
Efficient Computations of Interesting Paths
Marc Raphael Vicuna
No information about this author
Published: Jan. 1, 2024
Given
a
high
dimensional
dataset
and
function
of
interest,
the
Mapper
algorithm
outputs
topologically
accurate
summary.
This
summary
helps
identify
subpopulations,
which
motivates
use
this
for
data
mining.
Continuing
work
on
interesting
paths
by
Kalyanaraman,
Kamruzzaman
Krishnamoorthy,
we
study
three
optimization
problems
to
maximize
total
interestingness
score
output.
The
Max-IP
problem
is
solved
in
directed
acyclic
graphs,
but
extend
solution
special
class
graphs
common
algorithm.
For
k-IP
problem,
show
its
preceding
NP-completeness
proof
has
gaps.
We
give
new
k
≥
4.
design
approximation
exact
algorithms
it.
IP
NP-completeness.
also
corresponding
approximate
using
various
heuristics.
Language: Английский
A Brief Guide to Big Data in Molecular Design: From Concepts and Definitions to Models
Published: Dec. 6, 2023
How
crucial
is
big
data
in
contemporary
molecular
design?
In
this
publication
we
elucidate
fundamental
concepts
and
terminology
field,
critically
addressing
overlooked
issues.
We
thoroughly
examine
the
size,
accessibility,
quality,
structural
aspects
of
alongside
primary
methodologies
employed
for
their
analysis.
Within
chemical
compounds,
properties
descriptors
represent
two
distinct
types,
forming
basis
categorizing
data.
The
objective
chemistry
property
production,
which
means
are
searching
novel
drugs
or
materials
rather
than
central
issue
philosophy.
increasing
availability
computer-aided
technology
propels
advancements
artificial
intelligence
(AI),
machine
learning
(ML),
deep
(DL).
Accordingly,
a
broad
audience
must
comprehend
these
methods
to
understand
data-centered
chemistry.
Thus,
aim
systemize
issues
through
simple
illustrative
framework
with
descriptor
categories:
coding,
computer-generated
descriptors,
correlates.
Although
employ
as
predictions,
measured
irreplaceable
achieving
high-quality
reliable
outcomes
controlling
effects.
scarcity
remains
significant
hurdle
limiting
comprehensive
studies
on
structure-property
relationships
within
guided
by
pragmatics
not-so-big
an
option
drug
design.
presented
also
brief
review
recent
literature.
Language: Английский
Enhanced Security Measures in Genomic Data Management
Published: Oct. 17, 2023
Personal
information
like
genetic
is
protected
by
privacy
laws.
It
likely
to
use
a
well
person's
well-being
position
as
indication
for
illness
analysis
and
prediction
of
patient
prognosis.
Therefore,
safety
essential.
The
previous
work
A
blockchain
scheme
with
decentralized
request
(DApp)
two
distinct
storage
options—private
semi-private
storage.
private
contains
encrypted
gene
data,
while
the
repository
noise-laden
data.
In
addition,
DApp
enables
owner
data
track
usage
transmission
information.
Gene
sound
are
kept
in
semi-isolated
warehouse.
They
not
recovered
from
facts
customer
excluding
moderately
unreliable
clients
insurance
workers
researchers
employed
external
organizations.
Lists
customers
authorized
move
encoded
factor
also
access
control
purposes.
system
verifies
system's
availability
whenever
it
receives
download
proposed
uses
better
methodology
enhance
security
stored
increases
11.35%
compared
contribution.
Language: Английский