Futuristic Approaches in Conversational AI for the Cloud Platform
Panem Charanarur, Srinivasa Rao Gundu, Aditya Mohan Srivastava, H.K. Pratihari, Naveen Kumar Chaudhary, Laishram Hemanta Singh · 2025
New developments in areas such as cloud computing, artificial intelligence, machine learning, autonomous computing, and quantum computing have sparked optimism about the potential for digital transformation and efficiency. Voice and virtual assistants often make use of AI that can converse with humans and provide explanations. However, concerns of privacy and prejudice are still matters of moral importance that must be addressed. Companies are investing heavily in self-adaptive systems that integrate AI, machine learning, and other forms of machine intelligence. Improved performance, increased productivity, and decreased expenses are just a few of the many outcomes of this. The effectiveness of artificial intelligence, machine learning, and deep learning is contingent on the availability of big datasets and a computer network that is dependable. Deep learning, artificial intelligence, and machine learning are all fields that are attracting an increasing number of individuals due to their potential for advancement. Because of this, there is a possibility that new concerns may arise over the age-old issue of managing resources in data centers. The day when artificial intelligence is extensively deployed in high-tech equipment as a result of scientific advancements that can be explained is not too far off. To accommodate the new requirements that have arisen as a result of advancements in artificial intelligence, machine learning, and deep learning, computer systems will need to undergo modifications. In spite of this, this will provide the framework for the strategic use of artificial intelligence and machine learning in the management of resources and planning.