Abstract

A REVIEW: ARTIFICIAL INTELLIGENCE

*Rajat Thakur, Shikha, Shabnam, Shveta Devi billowria, Nitan Bharti Gupta and Hardeep kaur

ABSTRACT

Artificial intelligence(AI) and machine literacy(ML) can ameliorate manufacturing effectiveness, productivity, and sustainability. still, using AI in manufacturing also presents several challenges, including issues with data accession and operation, mortal coffers, structure, as well as security pitfalls, trust, and perpetration challenges. For illustration, getting the data demanded to train AI models can be delicate for rare events or expensive for large datasets that need labeling. AI models can also pose security pitfalls when integrated into artificial control systems. In addition, some assiduity players may be reluctant to use AI due to a lack of trust or understanding of how it
works. Despite these challenges, AI has the implicit to be extremely helpful in manufacturing, particularly in operations similar as prophetic conservation, quality assurance, and process optimization. It's important to consider the specific requirements and capabilities of each manufacturing script when deciding whether and how to use AI in manufacturing.

Keywords: AI Challenges, Assiduity Robotization, Assiduity Operations, Machine Literacy, Manufacturing Assiduity Preface.