Cloud computing and AI are two of the most in-demand technologies and are our tickets to the future. Cloud computing helps AI to be more accessible to everyone. Let us look at how you can use AI for cloud management and benefit your business. Read more- https://nuvento.com/blog/leveraging-ai-for-efficient-cloud-management/

1. Leveraging AI for Efficient
Cloud management

2. Cloud computing and
artificial intelligence (AI) are
two of the most in-demand
technologies, and they are
our tickets to the future.

3. Advantages of using AI for
cloud management

4. 01.
Cost reduction
Autoscaling, unused resources, and dynamic
provisioning can be difficult to manage and
put a strain on the cloud budget. However, AI
and ML can assist you in lowering costs
through intelligent automation.

5. 02
Data management
Collecting, cataloging, and managing data
that is generated by businesses is a great
challenge. AI tools are being used in specific
aspects of data processing

6. 03
Improved productivity
AI is used to automate repetitive tasks and
streamline workloads in a cloud environment,
increasing productivity. The cloud's future
includes AI tools that monitor, manage and
auto-correct without human intervention.

7. 04
Better security
AI can help in 24×7 monitoring and identifying
loopholes, and security risks and flag them on
time.

8. 05
Ensure compliance
Companies can use AI to ensure that every cloud
resource has the appropriate security compliance
configuration to meet regulatory requirements
such as PCI-DSS, GDPR, ISO 27001, and HIPAA.

9. The future of AI and
Cloud Computing
AI as a Service
AI and cloud integration is a game
changer that has helped businesses
overcome the cost barrier, making AI
more accessible. Small businesses can
use AI as a Service (AIaaS) platforms by
paying monthly fees and scaling up as
needed.

10. AI OPS
AI and ML can be used to automate
areas of operations. Some of the
benefits of AI Ops are,
application performance management to find what, why, and how.Cluster
management and auto-healing tooling are used to automate deployments.
Better
Based on the application technology stack, efficient log management is achieved
through live streaming logs and automatic anomaly detection.
Speed up incident management by suppressing noise from different alert systems
thereby allowing engineers to find root cause faster.

11. Cognitive Computing
Cognitive computing combines data
mining and analytics, pattern
recognition, and natural language
processing to create artificial neural
networks that mimic brain activity.

12. Virtual Assistants
Nuvento's FNOL chatbot and NuBot AI
voice-enabled chatbots can help users
and agents by simplifying insurance
processing.

13. Internet of Things (IoT)
Smart machines are already taking over
our daily lives from smartwatches and
appliances. AI and the cloud are already
connecting and managing.

14. BI
Business intelligence provides insights
into data from the past, present, and
future, and the cloud is a large data
repository, making it an ideal platform for
BI applications.

15. Conclusion
Using AI in cloud management can make the cloud cost-efficient, high-
performing, and resilient. Cloud’s flexibility, agility, and scalability can
power the massive intelligence of AI while AI can help in the strategic
decision-making for businesses and upkeep of the cloud.

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