Cloud Computing and Artificial Intelligence have emerged as two of the most cutting-edge and innovative technologies in existence. Cloud and AI have evolved to such an extent that they directly transform and impact the business in every industry. On one hand, digital innovation sets up its foundation from the on-demand cloud infrastructure while, on the other hand, AI, in collaboration with Machine Learning, offers modern intelligence and contemporary intellect. Cloud leverages the intelligence of AI for rapid deployment of intelligent applications on a large scale.
Enhancing Infrastructure Management
Managing infrastructure in the Cloud involves provisioning, implementing, and deployment of servers, scaling resources, backup, network management, and monitoring performance. An expert IT workforce is required to address and operate all IT tasks. AI streamlines the infrastructure management automatically:
- Predict system failures and take preventive actions by analyzing historical data and patterns.
- AI can provision and scale Cloud resources as per current demand and requirements.
- Implement mechanisms which leverage self-healing to automatically address recurrent obstacles and issues without human intervention.
Enhancing Cost Efficiency
AI plays a vital role in optimizing Cloud cost spending by adopting the following techniques, hence sorting out challenges related to diverse workloads and complex pricing models:
- AI is capable of forecasting future infrastructure requirements by predictive analysis and hence optimize Cloud costs.
- Most cost-efficient Cloud service prediction is based on analyzing usage patterns and suggesting an appropriate Cloud region based on latency information.
- Quickly identify and take the required action on the underutilized resources to reduce surplus expenses.
Enhancing Cloud Security
AI provides an additional level of security by implementing algorithms for threat and anomaly detection. It also strengthens authentication and access control and hence mitigates the risks associated with cyberattacks and data breaches.
- AI algorithms analyze security threats such as cyberattacks, malware, vulnerabilities and can promptly detect and mitigate these threats.
- Behavioral analytics and access control can take quick action on possible risks with automation.
- AI is capable of scrutinizing user behavior to detect anomalies and potential insider threats.
"Decisive, strategic, and performance-driven professional with expertise in presales and solution architecture. Adept at architecting, designing, deploying, and implementing innovative solutions in cloud, datacentre, and DevOps environments. Proven track record of delivering results that align with business objectives and drive organizational success."
Saurabh GROVER
Manager, Cloud & Engineering-Infrastructure
Enhancing Customer Experience
Artificial Intelligence fuels the evolution of Cloud-enabled customer experiences by:
- analyzing individual requirements, preferences, and behaviour to offer personalized recommendations, product suggestions, and tailored content.
- analyzing and providing prompt action on customer’s feedback, pain areas and sentiments
- generating customer-specific content that mimics human language such as support articles and product documents.
Enhancing Analytics Capabilities
AI leverages sophisticated algorithms and computational capabilities to enhance and enable Advanced Analytics by:
- Analyzing a large volume of structured and unstructured data rapidly and accurately to generate insights and patterns to predict future trends and make intelligent decisions.
- Automating repetitive tasks such as data preparation and transformation, leveraging analysts to place emphasis on interpretation and decision-making.
- AI algorithms develop predictive and projection models for classification, forecasting, and simulation.
Enhancing IT Operations
Organizing, administering, and managing enterprise IT operations is a complex activity as it’s a challenge to interpret huge amounts of monitoring data and maintain numerous computing resources. With the help of AIOps, many tasks of IT operations can be streamlined by:
- Gathering, aggregating and correlating observations and insights across IT resources such as servers and applications to identify the issues that are emerging.
- Analyzing failure patterns and historical data to provide root cause analysis for an event.
- Prioritizing incidents and automating event triage to expedite the resolution. Also recommending specific remedial measures to the operations team.
Conclusion
The integration of cloud computing with AI has played a vital role in the advancement of technology and innovation. It has offered ample opportunities for businesses to optimize operations, problem-solving, and decision-making. By utilizing the capabilities and insights of AI, today, organizations are in a better position to achieve performance, efficiency, redundancy, and security in cloud computing. Automations driven by AI minimize the possibilities of human error and, hence, increase productivity in cloud management and maintenance tasks. It is believed that with the advancement of AI, cloud computing is going to revolutionize industries across the globe, which will leverage unprecedented growth opportunities in every field.
