The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review
  of Applications, Techniques, Challenges, and Future Research Directions
  The increasing need for economic, safe, and sustainable smart manufacturing
combined with novel technological enablers, has paved the way for Artificial
Intelligence (AI) and Big Data in support of smart manufacturing. This implies
a substantial integration of AI, Industrial Internet of Things (IIoT),
Robotics, Big data, Blockchain, 5G communications, in support of smart
manufacturing and the dynamical processes in modern industries. In this paper,
we provide a comprehensive overview of different aspects of AI and Big Data in
Industry 4.0 with a particular focus on key applications, techniques, the
concepts involved, key enabling technologies, challenges, and research
perspective towards deployment of Industry 5.0. In detail, we highlight and
analyze how the duo of AI and Big Data is helping in different applications of
Industry 4.0. We also highlight key challenges in a successful deployment of AI
and Big Data methods in smart industries with a particular emphasis on
data-related issues, such as availability, bias, auditing, management,
interpretability, communication, and different adversarial attacks and security
issues. In a nutshell, we have explored the significance of AI and Big data
towards Industry 4.0 applications through panoramic reviews and discussions. We
believe, this work will provide a baseline for future research in the domain.
