Artificial Intelligence in Data Analytics, Product Management, and Cybersecurity: A Comprehensive Review of Machine Learning Applications

Abstract

The use of Artificial Intelligence (AI) and Machine Learning (ML) has emerged as the key technologies that revolutionize data analytics, products management, and cybersecurity. The fast development of digital data, the growth of system complexity and the development of cyber threats led to the introduction of AI-solutions in intelligent decision-making and automation in organizations. The review is a thorough analysis of the basics of AI and ML, as well as their usage in data analytics, product management, and cybersecurity. It underscores the role that machine learning methods play in making predictive and prescriptive analytics more useful, assisting with product prescriptions, and providing the ability to detect and respond to threats proactively. Another aspect of cross-domain integration, ethical and legal issues, and the main challenges of data quality, model interpretability, and adversarial risk are also discussed in the article. Moreover, the upcoming research trends and direction such as generative AI and autonomous systems are studied. In general, the review provides useful information on the potential and constraints of AI-based methods and highlights the necessity of responsible, secure, and scalable application of AI in the contemporary digital ecosystems.