Self‑Learning Bots & Cloud‑Native Platforms
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V5I4P114Keywords:
Self-Learning Bots, Cloud-Native Platforms, AI Automation, Kubernetes, Microservices, Mlops, Devops, Scalability, Adaptive Intelligence, Edge Computing, Continuous Learning, Digital TransformationAbstract
Self-learning bots along with cloud-native platforms are quickly merging and are changing the operational scale of intelligent systems, which are definitely different from one another. Self-learning bots refer to AI-powered decision-making entities that are able to reprogram themselves every time they have to face an environment that is different from the previous one. These are software environments that have been designed to use the flexibility, scalability, and resilience of the cloud through containerization, microservices, and orchestration tools such as Kubernetes. The combination of these two forces gives us the benefit of the best of both worlds: the continuous developmental nature of self-learning bots is completely dependent on the ever-changing, widely spread, and stable infrastructure that cloud-native systems offer; conversely, cloud-native platforms become more autonomous and can respond quicker with the help of AI. Thus, they become able to explore their hitherto unknown potential, for instance, from the very easy automatic scaling of intelligent customer support systems during periods of great demand up to the predictive maintenance of IoT devices by bots, as well as digital assistants that manage workflows across multi-cloud deployments. As an example, the retail case of self-learning bots integrated with a cloud-native backbone enabled real-time personalization for millions of customers, automatically scaling compute resources during seasonal surges while continuously fine-tuning recommendations based on shopper behavior. However, this trend is not just limited to retail; the healthcare, logistics, and financial sectors are also seeing the benefits of this mix and are utilising it for creating virtual health coaches, streamlining supply chains, and detecting fraud in real time. What is more, we can anticipate a future where ecosystems will be more and more autonomous; the bots will not only learn but at the same time will be able to self-deploy, self-heal, and move smoothly across hybrid and multi-cloud lands; thus, enterprises will find themselves on the brink of a whole new era of intelligent, adaptive, and highly scalable digital operations
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