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Artificial Intelligence is a transforming force which has touched almost every industry. Its influence is humongous in cloud computing and its synergy is driving innovation at rapid pace and it has emerged as a key transformation catalyst in the way businesses will operate in future.
AI combined with cloud computing is a potent mixture of artificial intelligence and cloud computing. Cloud computing delivers computing resources, applications and services at speed and artificial intelligence focuses on creating systems which can perform like human intelligence.
In this article we will learn more in detail about how artificial intelligence is transforming cloud computing and what benefits fusion of artificial intelligence and cloud computing bring together.
AI in Cloud Computing
AI is no longer a futuristic technology – it is the core of digital computing. As per Gartner report, the AI market is expected to top $2 trillion by 2026. When cloud computing and AI come together, they create a powerful force which is transforming organizations and businesses.
Cloud computing has already changed the way data is stored, processed, accessed and millions of physical servers are being replaced by virtual servers rented by organizations from major cloud providers – AWS, Azure, Google and many others. When AI is combined with cloud computing the operations become more agile and intelligent. According to the O’Reilly report more than 65% of organizations worldwide are using AI in their cloud ecosystem with applications to support cyber security operations to customer engagements.
AI in cloud computing gives businesses a competitive edge, cost savings, drives growth and innovation and builds resiliency.
Benefits of AI in Cloud Computing
Let’s look at some areas to understand how this merger is benefiting the organizations more in detail.
- Data Insights and Analysis – vast computational power combined with advanced AI algorithms-based AI ready data pipelines have faster implementation with accurate analytics.
- Data driven Decision Making – predictive analytics with machine learning let businesses forecast and predict trends to make more informed decisions.
- Predictive Analytics – historical data and AI analytics are combined to forecast future trends. Especially in retail and finance sector anticipating customer behavior and change in market conditions bring in competitive advantage to business
- Detection of Anomalies – anomalies in data such as suspicious transactions, systems errors can be easily detected by AI. This early detection helps in fixing the gaps before they impact business.
- Intelligent Automation for Traffic Generation – optimization of digital marketing campaigns, user experiences benefits business.
- Load Balancing – traffic distribution evenly to prevent overload on single server is done effectively by AI. Cloud providers use AI algorithms for dynamic adjustment of traffic on real-time data.
- Auto Scaling – cloud resources are adjusted based on traffic and usage using auto AI capabilities.
- Traffic Prediction – to enhance end user experience and remove performance Bottle neck, AI is used to predict patterns which allow cloud services to manage resources more efficiently during peak loads.
Role of AI in Cloud Computing in near Future
- Increased Adoption – the AI is getting embedded in cloud computing pretty fast. Organizations understand that AI driven insights and automation will help businesses to grow faster.
- New Business Models – AI is the catalyst for new business models such as subscription-based-service and pay-as-you-go.
- Talent Demand – AI combined with cloud computing is the industry talent demand.
- Edge Computing – AI capabilities built at edge brings in faster response times, low latency and improved performance.
- Dynamic Workloads – dynamic workloads can be handled more efficiently with AI in cloud computing.
- Security Enhancements – AI can process millions of logs and provide insight into suspicious activities, user actions
- Compliance – faster compliance to regulations by AI automation
- Threat Detection and Prevention – AI trained on vast amounts of cyber threat data can proactively flag threats and vulnerabilities well in advance and could help in improving security posture of organization systems.