An Overview of Machine Learning Implementation in Various Industrial Scenarios

Kalita, Hridayjit; Kumar, K Satish; Davim, J. Paulo

doi:10.1201/9781003011248-1

Cited by 1 publication

(1 citation statement)

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“…One could establish a customer lifetime value on an e‐Commerce merchant computer website for a forthcoming client meeting. It is possible to utilize ML if companies possess previous data on client interactions and net profits associated with purchasers (Kalita et al (2021)). ML and IoT are causing a worldwide shift in the enterprise domain.…”

Section: Role Of Machine Learning In the Internet Of Thingsmentioning

confidence: 99%

Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues

Rehman,

Tariq,

Moqurrab

et al. 2023

Expert Systems

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SummaryThe rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various industries, enabling enhanced productivity and efficient services. Integrating IoT systems with existing enterprise application systems has become common practice. However, this integration necessitates reevaluating and reworking current Enterprise Architecture (EA) models and Expert Systems (ES) to accommodate IoT and cloud technologies. Enterprises must adopt a multifaceted view and automate various aspects, including operations, data management, and technology infrastructure. Machine Learning (ML) is a powerful IoT and smart automation tool within EA. Despite its potential, a need for dedicated work focuses on ML applications for IoT services and systems. With IoT being a significant field, analyzing IoT‐generated data and IoT‐based networks is crucial. Many studies have explored how ML can solve specific IoT‐related challenges. These mutually reinforcing technologies allow IoT applications to leverage sensor data for ML model improvement, leading to enhanced IoT operations and practices. Furthermore, ML techniques empower IoT systems with knowledge and enable suspicious activity detection in smart systems and objects. This survey paper conducts a comprehensive study on the role of ML in IoT applications, particularly in the domains of automation and security. It provides an in‐depth analysis of the state‐of‐the‐art ML approaches within the context of IoT, highlighting their contributions, challenges, and potential applications.

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Section: Role Of Machine Learning In the Internet Of Thingsmentioning

confidence: 99%