Leveraging AI for Efficient Cloud management
Cloud computing and artificial intelligence (AI) are two of the most in-demand technologies, and they are our tickets to the future.
Advantages of using AI for cloud management
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.
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
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.
04 Better security AI can help in 24×7 monitoring and identifying loopholes, and security risks and flag them on time.
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.
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.
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.
BasedBetter 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.
Cognitive
Cognitive Computing computing combines data mining and analytics, pattern recognition, and natural language processing to create artificial neural networks that mimic brain activity.
Virtual Assistants Nuvento's FNOL chatbot and NuBot AI voice-enabled chatbots can help users and agents by simplifying insurance processing.
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.
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.
Using AI in cloud management can make the cloud cost-efficient, highperforming, 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.
Conclusion
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