Part II Trade Finance Technology, 10 Digitalisation of Shipping and Insurance Documents: Implications for Trade Finance

Author(s):  
Goldby Miriam

The inefficiencies inherent in processing pieces of paper manually down a cross-border chain of sales have prompted the international trade community to attempt to replace bills of lading with digital alternatives. These efforts have been ongoing for thirty years, but the recent availability of new technologies, particularly distributed-ledger technology (‘DLT’), which can be used in combination with ‘smart contracts’, the internet of things (‘IoT’) and machine-learning, has given these efforts a new impetus. Digitalisation holds many promises, including the creation of a context wherein new and cheaper financing options may be developed that do not involve manual checking of large volumes of paper documents. However, doing away with the paper-based documents of title creates uncertainties in terms of the bank’s position as secured creditor. Similarly, while cargo insurance certificates have been issued over electronic platforms for many years now, their transfer by endorsement is still effected by printing the certificate out and endorsing the paper-based certificate. In order for the benefits of digitalisation to be reaped in full, cargo insurance certificates also need to be fully digitalised, which would in turn raise questions as to the bank’s position as assured under the insurance contract. This chapter will examine the options available for making the bank’s position more certain. These options include legislative intervention and the development of contractual frameworks governed by English law.

Author(s):  
Fausto E. Jacome

Emerging technologies such as machine learning, the cloud, the internet of things (IoT), social web, mobility, robotics, and blockchain, among others, are powering a technological revolution in such a way that are transforming all human activities. These new technologies have generated creative ways of offering goods and services. Today's consumers demand in addition to quality, innovation, a real-time and ubiquitous service. In this context, what is the challenge that academy faces? What is the effect of these new technologies on the universities mission? What are people's expectations about academy in this new era? This chapter tries to get answers to these questions and explain how these emerging technologies are converting universities to lead society transformation to the digital age. Under this new paradigm, there are only two roads: innovate or perish. As might be expected universities are embracing these technologies for innovating themselves.


Author(s):  
Padmavathi U. ◽  
Narendran Rajagopalan

Blockchain refers to a distributed ledger technology that helps people to regulate and manage their information without any intermediaries. This technology emerges as a promising panacea for authentication and authorization with potential for use in every possible domain including financial, manufacturing, educational institutions, etc. Blockchain has its birth through the concept of Bitcoin, a digital cryptocurrency by Satoshi Nakamoto, called as Blockchain 1.0. Blockchain 2.0 came into existence in 2014 with Ethereum and smart contracts. The challenges such as scalability, interoperability, sustainability, and governance led to the next generation of Blockchain also called as IOTA, a blockchainless cryptocurrency for the internet of things runs on the top of their own ledger called Tangle, which is immune towards quantum computers. This disruptive technology evolved to provide cross chain support and more security through Blockchain 4.0. Finally, the chapter concludes by discussing the various applications of this technology and its advantages and security issues.


Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.


2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.


2017 ◽  
Vol 5 (1) ◽  
pp. 488
Author(s):  
Elena Samoylova

This paper is dedicated to the analysis of the phenomenon of virtual narrative and its connection to the phenomenon of Internet of things. Modern virtual narrative is a complex, syncretic phenomenon, alludes to the different cultural, historical and even mythological subjects and objects. But with the development of new technologies, such as the Internet of Things, virtual narrative became to be some kind of independent phenomenon. Moreover, the Internet of things (which is not clerly identified phenomen itself from the philosophic point of view) uses the virtual narrative as one of the components, for example applaying some methond of virtual narrative in creating advertisments, creating messages in musiams, exposititions etc. So, in our paper we will analyze this both phenomena, their connections and the way of its development.


Author(s):  
S. Kavitha ◽  
J. V. Anchitaalagammai ◽  
S. Nirmala ◽  
S. Murali

The chapter summarizes the concepts and challenges of DevOps in IoT, DevSecOps in IoT, integrating security into IoT, machine learning and AI in IoT of software engineering practices. DevOps is a software engineering culture and practice that aims at unifying software development (Dev) and software operation (Ops). The main characteristic of DevOps is the automation and monitoring at all steps of software construction, from integration, testing, releasing to deployment and infrastructure management. DevSecOps is a practice of integrating security into every aspect of an application lifecycle from design to development.


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