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Deep Learning in Innovative Product Management: Harnessing AI for Disruption Navigation and Creativity Enhancement

G. ChandramowleeswaranVel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Commerce and Business Administration,Avadi, Chennai,IndiaA. PrasanthHindusthan College of Engineering and Technology,Department of Management Sciences,Coimbatore,IndiaGafurov Abduvoitjon KhuseynovichFergana Medical Institute of Public Health,Fergana,UzbekistanAmarjeet Kumar Ghoshp chandrakalaPrince Shri Venkateshwara Padmavathy Engineering College,Chennai,IndiaPriyameet Kaur Keer
2024en
ABI

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Deep learning as one of the most advanced forms of AI offers wide opportunities to change the direction for new product management through the guidance of disruption and the encouragement of product invention. Describing how artificial intelligence can be used in the identification of market challenges and opportunities, as well as the encouragement of innovation, this paper examines the use of deep learning in product management. To understand various approaches to the integration of deep learning models into product management systems, with a focus on data acquisition, model training, deployment, and performance assessment, we carry out a literature review evaluation. In this case, it is possible to talk about increased levels of predictive accuracy, customer satisfaction, and innovation rates gained thanks to the results received. However, there are two significant issues inherent with the application of deep learning, namely, data privacy and computational costs, yet the benefits of applying deep learning in product management are hard to ignore. This paper highlights the need to proceed with ethical guidelines and research for effective optimization of the AI in achieving such goals such as in product development and industry competitiveness.

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