Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …

Data science projects represent a greater challenge than software engineering for
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …

With the rapid development of IT operations, it has become increasingly crucial to efficiently
manage and analyze large volumes of data for practical applications. The techniques of …

In this current journey, the technical pathway's golden roads show the ultimate metaphor for
artificial intelligence (AI) society. The clinical stores, banks, NGOs, insurance, and some …

This study aims to define factors that affect Artificial Intelligence (AI) technology introduction
to network operations and analyze the relative importance of such factors. Based on this …

Different from previous generations of communication technology, 5G has tailored several
modes especially for industrial applications, such as Ultra-Reliable Low-Latency …

The management of modern IT systems poses unique challenges, necessitating scalability,
reliability, and efficiency in handling extensive data streams. Traditional methods, reliant on …

Abstract Artificial Intelligence for IT Operations (AIOps) leverages AI approaches to handle
the massive amount of data generated during the operations of software systems. Prior …

Modern service systems are constantly improving with the development of various IT
technologies, leading to a boost in system scales and complex dependencies among …

Continuous deployment has been practiced for many years by companies developing web‐
and cloud‐based applications. To succeed with continuous deployment, these companies …