HUMAN-AI COLLABORATION IN FOOD MANUFACTURING: ENHANCING DATA SECURITY AND COMPLIANCE

Authors

  • Swathi Priya Karthikeyan Tyson Foods, USA. Author

Keywords:

Artificial Intelligence, Food Manufacturing, Cybersecurity, Regulatory Compliance, Predictive Maintenance

Abstract

This article explores the transformative impact of artificial intelligence (AI) and machine learning (ML) technologies on the food manufacturing industry, focusing on the synergistic relationship between human expertise and AI-driven solutions. It examines key areas where this collaboration drives significant improvements, including supply chain security, predictive maintenance, regulatory compliance, data security, and continuous improvement processes. Integrating AI and ML technologies offers unprecedented capabilities in data analysis, predictive modeling, and process optimization, enabling food manufacturers to enhance operational efficiency, reduce risks, and maintain high standards of product quality and safety. The article highlights how combining AI's computational power and human insight creates a powerful synergy that addresses the industry's most pressing challenges in an increasingly complex and competitive market.

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Published

2024-08-23