Makelink Innovation - cloud computing

Transform your business by merging software development with digital marketing services, utilising cloud solutions for scalability, efficiency, and innovation with Makelink Innovation.

2. AI and Machine Learning:
Revolutionizing Cloud
Computing
The convergence of AI/ML and cloud computing is transforming industries.
It's also driving unprecedented innovation across various sectors. This
presentation will explore the role of AI/ML in cloud computing.
by Makelink Innovation

3. Cloud Computing: The Foundation for
Scalability and Elasticity
Cloud infrastructure offers unparalleled
scalability. Leading providers include
AWS, Azure, and Google Cloud.
Cost-Effectiveness
Cloud resources reduce infrastructure
costs. On-demand compute can lower
costs by 30-50%.
Accessibility
Cloud data lakes store vast amounts of
data. These data lakes can store
petabytes of structured and
unstructured data.

4. AI-Powered Cloud Services:
A New Paradigm
1
MLaaS
Machine Learning as a
Service provides pre-trained
models. MLaaS also
automates various
workflows.
2
AI-Driven Analytics
AI delivers real-time insights.
These insights come from
massive datasets.
3
NLP and Computer Vision
Image recognition accuracy exceeds 95%. This uses cloud-based
models.

5. Enhancing Cloud
Infrastructure Management
Predictive
Analytics
AI algorithms optimize
server utilization.
Optimizations can
improve server
utilization by 20-30%.
Automated
Threat Detection
ML-based tools
reduce false positives.
ML reduces false
positives by 40%.
Intelligent
Monitoring
Proactive
identification of
performance
bottlenecks. AI
improves overall
system stability.

6. AI for Data Management in
the Cloud
Automated Data Classification
Improves data governance and compliance. AI enhances
overall data security.
Smart Data Integration
Reduces data processing time by 50%. ETL processes
become more efficient.
AI-Powered Data Quality
Minimizes data errors and inconsistencies. Ensures data
accuracy.

7. AI/ML in Cloud Across
Sectors
Healthcare
AI improves diagnostic
accuracy by 15%. AI also helps
with medical imaging and
diagnostics.
Finance
AI reduces fraudulent
transactions by 25%. It also
assists in risk management.
Retail
AI increases sales conversion rates by 10-15%. AI also provides
personalized recommendations.

8. Challenges and
Considerations
1
Data Privacy and Security
Implementing robust access controls and encryption.
Protecting sensitive information.
2
Ethical Implications
Ensuring fairness and transparency in algorithms. Avoiding
biased outcomes.
3
Skill Gaps and Talent
Investing in AI/ML training and development. Addressing the
talent shortage.

9. The Future: Driving the Next Wave of Cloud
Innovation
Edge AI
Processing data closer to the source.
1
Quantum Computing
Accelerating AI algorithms.
2
Autonomous Cloud
Management
Reducing operational overhead.
3