AI-ENHANCED CLOUD COST OPTIMIZATION USING PREDICTIVE ANALYTICS
Omkar Reddy Polu · 2025
The adoption of Artificial Intelligence (AI) is helping in becoming the transformative force in cloud cost optimization as it is using its capability of predicting analytics, automation and intelligent decision making.Historical as well real time data fed into AI driven solutions can also predict future usage of cloud resources with high accuracy, budgeting, dynamic resource allocation and most importantly cost reduction.AI helps in understanding the unusual spending pattern and prevents cost overruns through implementing anomaly detection mechanisms.ML based automated resource optimization makes sure that the not only cloud works loads are right sized but also minimize underutilization and over-provisioning.FinOps AI, cloud-native AIOps, reinforcement learning based optimization models are new technologies that make resource usage more efficient as these technologies are capable of continuous learning of the behaviour of a workload and act of adjusting resources as per the demand.Business are able to shift workloads across multi cloud environments based on its cost performance trade off using auto scaling using AI and intelligence workload placement.Unlike other tools on the market, these tools integrate AI models in the tool to offer real time cost insights and therefore cost optimization recommendations such as AWS Compute Optimizer, Google Cloud Recommender, and Azure Cost Management to name a few.