| dc.description.abstract | This abstract discusses the application of data science in the context of Industry 4.0.
Industry 4.0, also known as the fourth industrial revolution, represents the
integration of advanced technologies such as the Internet of Things, Artificial
Intelligence, and Big Data into the industrial sector. Data science plays a crucial role
in Industry 4.0 by leveraging data to drive insights, improve decision-making, and
optimize processes across various industries.
It provides an overview of the key applications of data science in Industry 4.0,
including predictive analytics, machine learning, optimization algorithms, and real time monitoring. It also highlights the benefits and challenges associated with
implementing data science in this context, emphasizing the potential for enhanced
efficiency, productivity, and competitiveness. By understanding the application of
data science in Industry 4.0, businesses can harness the power of data-driven
approaches to unlock new opportunities and drive transformative change in their
operations.
In today's fast-paced era, industries must embrace digitalization in order to ensure
their survival. Technology has become the driving force of our time, and companies'
ability to meet customer needs through tailored solutions is heavily reliant on being
connected through technological advancements such as the Internet of Things,
Artificial Intelligence, and Big Data, by incorporating these technological
applications, businesses can experience a significant growth rate boost. This
phenomenon, often referred to as the fourth industrial revolution or 4IR, represents
the integration of technology into the industrial sector. As a futuristic concept that is
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already prevalent in today's world, virtually every business in the market has
embraced it. The purpose of this paper is to provide an overview of how data science
is applied in the context of Industry 4. 0 | en_US |
