Integrating Green Infrastructure With AI-Driven Dynamic Workload Optimization for Sustainable Cloud Computing
Advances in public policy and administration (APPA) book series,
Год журнала:
2024,
Номер
unknown, С. 423 - 442
Опубликована: Дек. 5, 2024
The
rapid
growth
of
cloud
computing
has
raised
concerns
about
its
environmental
impact,
particularly
in
terms
energy
consumption
and
carbon
emissions.
This
chapter
explores
the
integration
green
infrastructure
with
AI-driven
dynamic
workload
optimization
to
promote
sustainable
practices.
By
leveraging
AI
algorithms,
service
providers
can
dynamically
adjust
resource
allocation,
optimize
use,
enhance
overall
operational
efficiency.
implementation
infrastructure,
including
renewable
sources
energy-efficient
data
centers,
further
supports
reduction
ecological
footprint
associated
services.
examines
principles
strategies
for
achieving
synergy
between
technologies
presenting
case
studies
that
demonstrate
successful
implementations.
findings
indicate
this
integrated
approach
not
only
enhances
sustainability
but
also
improves
cost-effectiveness
resilience,
positioning
organizations
meet
both
goals
business
objectives.
Язык: Английский
AI-Powered Innovations Transforming Adaptive Education for Disability Support
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 73 - 100
Опубликована: Дек. 30, 2024
This
chapter
examines
artificial
intelligence's
(AI)
transformative
impact
on
adaptive
education
for
students
with
disabilities.
explores
how
AI-driven
technologies,
including
intelligent
tutoring
systems,
speech
recognition
tools,
and
personalized
learning
algorithms,
are
reshaping
educational
experiences
to
be
more
inclusive
effective.
By
leveraging
these
innovations,
educators
can
tailor
content
support
meet
individual
needs,
enhance
accessibility,
overcome
barriers
education.
Drawing
case
studies
practical
examples,
the
highlights
ability
of
AI
revolutionize
traditional
models
by
delivering
customized,
responsive
diverse
Emphasizing
potential
foster
equity
inclusion,
underscores
its
role
in
advancing
opportunities
all
learners
creating
a
accessible
landscape.
Язык: Английский
AI-Driven Risk Management in Financial Services From Theory to Practice in Smart Education
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 77 - 92
Опубликована: Дек. 20, 2024
This
chapter
explores
the
transformative
role
of
AI-driven
risk
management
in
financial
services,
emphasizing
its
application
within
smart
education
and
sustainable
learning
environments.
As
institutions
increasingly
adopt
AI
technologies
to
enhance
assessment,
fraud
detection,
compliance
management,
this
outlines
theoretical
underpinnings
practical
implications
educational
contexts.
By
analyzing
case
studies
real-world
implementations,
we
highlight
how
tools
can
provide
actionable
insights
for
decision-making
institutions,
promote
transparency,
support
practices.
Furthermore,
addresses
challenges
limitations
integrating
into
processes,
offering
recommendations
overcoming
these
hurdles.
Through
exploration,
aim
educators
professionals
with
a
comprehensive
understanding
AI's
potential
revolutionize
practices
both
sectors.
Язык: Английский
AI-Enhanced Self-Healing Cloud Architectures for Data Integrity, Privacy, and Sustainable Learning
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 93 - 106
Опубликована: Дек. 20, 2024
In
the
era
of
digital
transformation,
integrity
and
privacy
data
have
become
paramount
concerns
for
organizations
educational
institutions
alike.
This
chapter
explores
concept
AI-enhanced
self-healing
cloud
architectures,
which
leverage
advanced
artificial
intelligence
algorithms
to
automatically
detect,
diagnose,
rectify
anomalies
in
real-time.
By
incorporating
mechanisms,
these
architectures
ensure
while
maintaining
operational
efficiency.
The
discusses
underlying
principles
role
machine
learning
predictive
maintenance,
implications
sustainable
environments.
Case
studies
illustrate
successful
implementations
highlight
benefits
adopting
such
innovative
solutions
computing.
Ultimately,
this
advocates
a
paradigm
shift
towards
more
resilient
infrastructures
that
not
only
enhance
security
but
also
support
practices
contexts.
Язык: Английский
Innovative Technology Leadership and Program Management
Advances in public policy and administration (APPA) book series,
Год журнала:
2024,
Номер
unknown, С. 327 - 346
Опубликована: Дек. 5, 2024
Innovative
technology
leadership
is
crucial
for
driving
the
development
and
implementation
of
AI-powered
solutions
in
blue-green
infrastructure
(BGI).
This
chapter
explores
how
AI
emerging
technologies
can
enhance
management
water
green
spaces
to
create
sustainable,
resilient
urban
environments.
By
integrating
into
planning,
monitoring,
optimization
BGI,
cities
better
manage
stormwater,
reduce
flooding,
improve
biodiversity,
public
spaces.
The
role
managing
cross-disciplinary
teams,
fostering
collaboration,
ensuring
alignment
technological
innovation
with
environmental
goals
highlighted.
Case
studies
best
practices
are
provided
demonstrate
successful
deployment
BGI
solutions.
Chapter
also
addresses
challenges
scaling
these
need
effective
program
ensure
sustainability,
community
engagement,
policy
alignment.
Язык: Английский
Leveraging AI for Continuous Integration and Delivery Enhancing Developer Productivity in Smart Education and Sustainable Learning
Gangadhararamachary Ramadugu
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 287 - 300
Опубликована: Дек. 20, 2024
Continuous
Integration
and
Delivery
(CI/CD)
practices
are
crucial
for
enhancing
developer
productivity
ensuring
seamless
software
development
in
smart
education
sustainable
learning
environments.
Leveraging
Artificial
Intelligence
(AI)
within
CI/CD
pipelines
introduces
automation,
predictive
analysis,
intelligent
monitoring,
reducing
manual
intervention
accelerating
the
cycle.
This
chapter
explores
how
AI-driven
enhances
efficiency
of
delivery
technology
(EdTech)
systems.
It
covers
AI's
role
automating
testing,
debugging,
deployment
processes
while
scalability
adaptability.
Furthermore,
discusses
implications
AI-powered
promoting
ecosystems,
improving
resource
utilization,
fostering
a
more
personalized
adaptive
experience
students.
Язык: Английский
Automating AI Infrastructure
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 123 - 138
Опубликована: Дек. 20, 2024
This
chapter
explores
the
automation
of
AI
infrastructure
within
scalable
and
optimized
cloud
platforms,
specifically
tailored
for
realm
smart
education.
As
educational
institutions
increasingly
leverage
technologies
to
enhance
learning
experiences,
need
robust
efficient
solutions
becomes
paramount.
delves
into
critical
components
automated
infrastructure,
including
architecture,
resource
management,
deployment
strategies.
By
examining
best
practices
automation,
scalability,
optimization,
provides
a
comprehensive
guide
educators
administrators
looking
implement
AI-driven
in
their
institutions.
Additionally,
real-world
case
studies
illustrate
successful
application
these
principles
education
settings,
highlighting
transformative
impact
on
outcomes.
The
insights
presented
aim
equip
stakeholders
with
knowledge
harness
effectively,
ensuring
sustainable
adaptive
environments.
Язык: Английский