Redefining the Cloud with AI – State & Use Cases | SoftClouds

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Redefining the Cloud with AI –
State & Use Cases
www.softclouds.com

Cloud - Overview

• 90% Organizations use Cloud
• 60% CXO’s say Cloud Computing Improves Security
• Cloud spending to reach nearly $600B in 2023
Cloud is Booming/Growth of the Cloud
Source: Techopedia | Gartner

Adoption of the Cloud
Source: Techopedia | Statista | Gartner
2022 Cloud Spending Rates & Growth Highlight
Tracking, Lagging, & Resisting Countries
Worldwide Public Cloud Services End-User
Spending (Millions of USD)

Cloud – The Evolution

Public & Private Cloud
Public Cloud Private Cloud
Cloud:
• Servers accessed over the Internet, & the software & databases that run on those servers.
• With Cloud, users & companies don't have to manage physical servers themselves.
• Estimated that world will store 200 zettabytes of data in the cloud by 2025.
• Public clouds are common cloud services accessible over the internet.
• Public cloud infrastructure is managed by third-party providers.
• Advantages include low costs, high reliability, and scalability.
• Users can scale resources up or down without vendor lock-in.
• Popular public cloud providers include AWS, Google Cloud, IBM Cloud,
& Microsoft Azure & OCI.
• Private clouds are owned & operated by a single organization.
• Allows organizations to share computing devices, data, and resources on-
demand.
• Operating & securing a virtualized business environment is crucial for
private cloud.
• Key vendors include Cisco, Dell, Google Cloud, IBM, Microsoft, Oracle,
and VMware.

• Hybrid cloud combines private and public cloud services.
• Provides flexibility to customize resource allocation.
• Ensures control and security of internal resources.
• Leverages advantages of both public & private clouds.
• Key vendors: AWS, Google Cloud, Microsoft Azure, Rackspace
What’s Hybrid Cloud?

What’s Multi-Cloud?
Enterprises using Public
Cloud have Adopted a
Multi-Cloud Strategy
• Multi-cloud strategy uses multiple cloud computing platforms for diverse tasks.
• Allows companies to choose best cloud provider for specific services or regions.
• Offers redundancy & resilience by spreading workloads across multiple cloud platforms.
• Allows IT departments to meet specific technology needs of different teams across
organization.
98%

The Cloud
Market Today
Source: statista

Growth of Multi-Cloud
Global multi-cloud market
is expected to reach
$56.02B by 2030
73%
57%
90%
98%
Organizations planning to increase use of multi-cloud
by 2024.
Organizations using multi cloud to improve disaster
recovery & business continuity plans.
Large enterprises have adopted a multi-cloud
infrastructure.
Enterprises using Public Cloud have Adopted a Multi-
Cloud Strategy.
Source: globenewswire

`
`
Multi-Cloud – Status & Future
Growth Continues
Organizations seek
diverse cloud
strengths
Management Tools
Advanced tools
simplify multi-cloud
management & cost
control
Interoperability
Efforts increase for
seamless cloud
migration
Security Focus
Remains priority
with multi-cloud
protection solutions
Cost Optimization
Across multiple
clouds becomes
essential
Hybrid Integration
Seamless integration of
on-premise & multi-
cloud environments
AI & Automation
Enhances multi-cloud
efficiency
Governance
Push for compliance,
governance &
regulations drive
robustness across
clouds

Infrastructure as a Service (IaaS): Software as a Service (SaaS): Platform as a Service (PaaS):
• Provides virtualized computing resources over internet.
• Offers scalability to users based on needs.
• Easily expandable, cost-effective.
• Enhanced scalability, high flexibility.
• Supports dynamic workloads.
• Cloud computing model that delivers tools used for
application development.
• Developers can build apps without OS or
infrastructure hassle.
• Offers flexibility & portability.
• Efficiently manages cloud app dev phases.
• Service model that hosts software for client availability.
• Provides lower cost of ownership than on-premises
software.
• Easily accessed through a browser or thin client.
• Low maintenance costs.
Services on the Cloud
Source: guru99
Public Cloud Computing Market Share
(Document Type), 2019-2022

Migrating to the Cloud - Advantages
1 2 3 4
8 7 6 5
Reducing
IT Costs
Increasing
Business Agility
Improving
Security
Eliminating End-of-
Life Concerns
Consolidating
Data Centers
Enabling Digital
Transformation
Accelerating
Growth
Leveraging New
Technologies

Growth of AI

AI – The Background

Stages of Artificial Intelligence (AI)
Specialize in one area & solves
one problem
• Siri
• Alexa
• Cortana
STAGE 1
Artificial Narrow Intelligence (ANI)
(Machine Learning)
STAGE 2
Artificial General Intelligence (AGI)
(Machine Intelligence)
Refers to a system that is as
smart as a human
STAGE 3
Artificial Super Intelligence (ASI)
(Machine Consciousness)
An intellect that’s much smarter than best
human brains in practically every field
Today 2023

Will account for 10% of
data produced by 2025
10%
$110.8B
Market size - $110.8B by
2030
78%
Customer service professionals
feel optimistic about AI
AI & analytics project
data will be
synthetically generated
by 2024
60%
Growth of Generative AI – Stats
Source: brendanaw | gartner | dialpad | aimultiple

Cloud & AI Services – Examples
• Cloud NLP services use AI algorithms
in the cloud.
• Analyzes text data for insights.
• Power chatbots & recommendation
engines.
• Language Translation Services
• Analyze images & videos with cloud-
based computer vision.
• Utilize cloud-based APIs for object
recognition.
• Enable AI-powered visual recognition
in the cloud.
• Cloud-based ML automates decision-
making processes.
• Real-time ML predictions are
accessible via the cloud.
• MLaaS (Machine Learning as a
Service) simplifies ML deployment.
NLP Computer Vision Machine Learning

Cloud Migration - How AI
Helps?
• Data analysis streamlines migration planning.
• Automation speeds up data transfer.
• AI optimizes resource allocation.
• Predictive analytics reduce downtime.
• Error detection enhances data integrity.
• AI-driven monitoring ensures smooth transition.
• More & Better AI Services Innovations

Cloud &
Managed Services

What are Managed Services (MS)?
Designed to handle daily operations of specialized applications/solutions
Provide more capability to your company end-users
Allow in-house IT to focus on more strategic IT programs
Free your team to focus on your business’ core competencies
Managed IT services can :
• Reduce In-house overhead
• Increase IT efficiency
• Improve uptime management

Managed Services – Key Benefits
Avoid Sunk & Operational Costs
Get Ahead of Issues Before They
Get Out-of-Hand
Proactive Monitoring
& Issue Fixing
Faster Response Time
Gain a Reliable
Point of Contact
Receive Support Whenever You
Need It
Data Compliance Support
One Point of Contact
to Vendors
BENEFITS

Managed Services – Stats
Market Size: $243.3B in 2021,
Expected to reach $557.1B in 2028
59% IT services are addressed under a
managed services model
Managed Services can reduce
recurring in-house costs by
30% to 40%
65% IT budgets are spent just to keep
the “lights on“
Managed Services can
increase efficiency by 50%
to 60%
Sources: fortunebusinessinsights | hctechguys | cisco

Managed Services – with Cloud & AI
Improved Service Reliability:
AI-powered analytics can proactively
identify & address issues.
Scaling & Service Availability:
Cloud enables easy scaling of resources to
meet fluctuating demand & ensuring
services.
Software Releases:
AI streamlines CI/CD pipelines for faster
software releases.
Software Quality:
AI-driven test automation reduces
manual testing efforts, enhancing
software quality & reliability.
Cost Management:
Cloud cost management tools use AI to
optimize resource allocation & reduce
operational expenses.
Predictive:
Proactive, Predictive equipment failures
in advance, reduces downtime for
managed services.
Efficiency:
Cloud-based infrastructure as code (IaC)
& AI-driven configuration management
automate DevOps tasks, increasing
efficiency.
Data Driven Insights:
Provide valuable insights, enabling
better-informed decision-making for
managed service providers.
Resource Optimization:
AI-driven analytics helps allocate
resources efficiently based on usage
patterns, reducing waste.
Security:
AI-powered threat detection & response
enhance the security posture of managed
services.

Founded
2005
Other Locations
Hyderabad, India
Delhi, India
Tokyo, Japan
Headquarters
San Diego, CA
Our Partners
Oracle
Salesforce
About Us

Cloud
Transformation
Cloud Managed
Services
Security DevOps
Migration &
Modernization
AI & ML Storage Automation
Our Managed Services + AI Expertise
Natural Language Data & Cloud Computer Vision
Enterprise Mobility

For more information,
please contact:
info-at-softclouds.com

Redefining the Cloud with AI – State & Use Cases | SoftClouds

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