Artificial Intelligence-Based Cloud Planning and Migration to Cut the
Cost of Cloud
Abstract
The paper titled “Artificial Intelligence-Based Cloud Planning and
Migration to Cut the Cost of Cloud” aims at examining how AI can be
implemented to improve cloud planning and migration in a bid to reduce
their costs. The proposal is concerned with the utilization of multiple
AI techniques such as machine learning models, natural language
processing and reinforcement learning to manage the migration process in
the cloud. In incorporating AI within the transitions, the paper
establishes how organizations improve organizational resource
allocation, productivity stability, and security during Cloud
transitions. It provides detailed pseudocode of the scenario, making the
content sufficiently intelligible to the IT professionals who wish to
implement these AI algorithms. In this regard, this paper helps to fill
the gap that has been demonstrated in the current literature regarding
the link between theoretical uses of AI and its application in cloud
migration towards enhancing the deployment efficacy and cost-efficiency
of cloud services.