Intelligent Assistants and the Internet of Things as the Next Marketing Landscape

2021 ◽  
pp. 2071-2085
Author(s):  
Edward Forrest ◽  
Christina McDowell Marinchak ◽  
Bogdan Hoanca
Keyword(s):  
Social Media ◽  
Internet Of Things ◽  
The Internet ◽  
Technology Platform ◽  
Technical Specifications ◽  
Global Diffusion ◽  
And Control ◽  
The Internet Of Things ◽  
The Web ◽  
Intelligent Assistants

This entry explores the ramifications of this latest technology platform shift. Just as the Web precipitated the emergence of e-commerce and the smartphone enabled the explosion of social media, the advent of a voice-based interface that allows people access to, communication with, and control of most anything in our world—via the IoT. Accordingly, the objectives of this entry are threefold: review the findings of these initial, and other related articles, in the context of their relevance to the changing business/ marketing landscape defined by voice based interface (VBI) to a world connected to an Internet of Intelligent Things (IoIT); understand the technical specifications and broad-based applications of VBI will be delineated along with the ramifications occasioned by the global diffusion of the IoIT; and, explore the ramifications of this new landscape will be examined through analyses of the most prominent examples of digital assistants that are in use or development.

Dancing with Postmodernity

2010 ◽  
pp. 343-364 ◽  
Author(s):  
Henk Eijkman
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
Knowledge System ◽  
The Internet ◽  
Learning Space ◽  
And Performance ◽  
Control Knowledge ◽  
And Control ◽  
Oriented Approach ◽  
The Web

This chapter addresses a significant theoretical gap in the Web 2.0 (or “Web 2.0+,” as it is referred to by the author) literature by analyzing the educational implications of the “seismic shift in epistemology” (Dede, 2008, p. 80) that is occurring. As already identified in Chapter 2, there needs to be a consistency between our own epistemic assumptions and those embedded in Web 2.0. Hence the underlying premise of this chapter is that the adoption of social media in education implies the assumption of a very different epistemology—a distinctly different way of understanding the nature of knowledge and the process of how we come to know. The argument is that this shift toward a radically altered, “postmodernist,” epistemic architecture of participation will transform the way in which educators and their students create and manage the production, dissemination, and validation of knowledge. In future, the new “postmodern” Web will increasingly privilege what we may usefully think of as a socially focused and performance-oriented approach to knowledge production. The expected subversion and disruption of our traditional or modernist power-knowledge system, as already evident in the Wikipedia phenomenon, will reframe educational practices and promote a new power-knowledge system, made up of new, social ways in which to construct and control knowledge across the Internet. The chapter concludes by advocating strategies for critical engagement with this new epistemic learning space, and posing a number of critical questions to guide ongoing practice.

scholarly journals An Agenda in the Interest of Audiences: Facing the Challenges of Intrusive Media Technologies

2018 ◽  
Vol 20 (2) ◽  
pp. 184-198 ◽  
Author(s):  
Brita Ytre-Arne ◽  
Ranjana Das
Keyword(s):  
Social Media ◽  
Big Data ◽  
Internet Of Things ◽  
Emerging Technologies ◽  
Research Network ◽  
The Internet ◽  
Audience Research ◽  
Media Technologies ◽  
Critical Data ◽  
The Internet Of Things

This article formulates a five-point agenda for audience research, drawing on implications arising out of a systematic foresight analysis exercise on the field of audience research, conducted between 2014 and 2017, by the research network Consortium on Emerging Directions in Audience Research (CEDAR). We formulate this agenda in the context of the rapid datafication of society, amid emerging technologies, including the Internet of Things, and following a transformative decade, which overlapped with the pervasion of social media, proliferation of connected gadgets, and growing interest in and concern about big data. The agenda we formulate includes substantial and intellectual priorities concerning intrusive technologies, critical data literacies, labour, co-option, and resistance, and argues for the need for research on these matters, in the interest of audiences.

scholarly journals Management of Software-Defined Networking Powered by Artificial Intelligence

2021 ◽  
Author(s):  
Jehad Ali ◽  
Byeong-hee Roh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Heterogeneous Networks ◽  
Software Defined Networking ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Underlying Network ◽  
And Control ◽  
The Internet Of Things

Separating data and control planes by Software-Defined Networking (SDN) not only handles networks centrally and smartly. However, through implementing innovative protocols by centralized controllers, it also contributes flexibility to computer networks. The Internet-of-Things (IoT) and the implementation of 5G have increased the number of heterogeneous connected devices, creating a huge amount of data. Hence, the incorporation of Artificial Intelligence (AI) and Machine Learning is significant. Thanks to SDN controllers, which are programmable and versatile enough to incorporate machine learning algorithms to handle the underlying networks while keeping the network abstracted from controller applications. In this chapter, a software-defined networking management system powered by AI (SDNMS-PAI) is proposed for end-to-end (E2E) heterogeneous networks. By applying artificial intelligence to the controller, we will demonstrate this regarding E2E resource management. SDNMS-PAI provides an architecture with a global view of the underlying network and manages the E2E heterogeneous networks with AI learning.

scholarly journals Social Media Analytics of the Internet of Things

2021 ◽  
Author(s):  
Jim Scheibmeir ◽  
Yashwant K. Malaiya
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Internet Of Things ◽  
Smart Cities ◽  
The Internet ◽  
Social Media Analytics ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Abstract The Internet of Things technology offers convenience and innovation in areas such as smart homes and smart cities. Internet of Things solutions require careful management of devices and the risk mitigation of potential vulnerabilities within cyber-physical systems. The Internet of Things concept, its implementations, and applications are frequently discussed on social media platforms. This article illuminates the public view of the Internet of Things through a content-based analysis of contemporary conversations occurring on the Twitter platform. Tweets can be analyzed with machine learning methods to converge the volume and variety of conversations into predictive and descriptive models. We have reviewed 684,503 tweets collected in a two-week period. Using supervised and unsupervised machine learning methods, we have identified interconnecting relationships between trending themes and the most mentioned industries. We have identified characteristics of language sentiment which can help to predict popularity within the realm of IoT conversation. We found the healthcare industry as the leading use case industry for IoT implementations. This is not surprising as the current Covid-19 pandemic is driving significant social media discussions. There was an alarming dearth of conversations towards cybersecurity. Only 12% of the tweets relating to the Internet of Things contained any mention of topics such as encryption, vulnerabilities, or risk, among other cybersecurity-related terms.

scholarly journals Law in Context for the Digital Age

2019 ◽  
Vol 36 (1) ◽  
pp. 3-11
Author(s):  
Pompeu Casanovas ◽  
Jianfu Chen ◽  
David Wishart
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Digital Age ◽  
The Internet ◽  
Historical Account ◽  
Web Of Data ◽  
The Law ◽  
The Internet Of Things ◽  
The Web

We introduce both the new inception of Law in Context - A Socio-legal Journal and the continuing issue of LiC 36 (1). The editorial provides a brief historical account of the Journal since its inception in the early 1980s, in the context of the evolution of the Law & Society movement. It also describes the changes produced in the digital age by the emergence of the Web of Data, Big Data, and the Internet of Things. The convergence between Law & Society and Artificial Intelligence & Law is also discussed. Finally, we introduce briefly the articles included in this issue.          

scholarly journals The spectrum of control: A social theory of the smart city

First Monday ◽  
2015 ◽  
Author(s):  
Jathan Sadowski ◽  
Frank Pasquale
Keyword(s):  
Internet Of Things ◽  
Social Theory ◽  
Smart City ◽  
Critical Infrastructure ◽  
The Internet ◽  
Control Mechanisms ◽  
Physical Objects ◽  
Smart Technologies ◽  
And Control ◽  
The Internet Of Things

There is a certain allure to the idea that cities allow a person to both feel at home and like a stranger in the same place. That one can know the streets and shops, avenues and alleys, while also going days without being recognized. But as elites fill cities with “smart” technologies — turning them into platforms for the “Internet of Things” (IoT): sensors and computation embedded within physical objects that then connect, communicate, and/or transmit information with or between each other through the Internet — there is little escape from a seamless web of surveillance and power. This paper will outline a social theory of the “smart city” by developing our Deleuzian concept of the “spectrum of control.” We present two illustrative examples: biometric surveillance as a form of monitoring, and automated policing as a particularly brutal and exacting form of manipulation. We conclude by offering normative guidelines for governance of the pervasive surveillance and control mechanisms that constitute an emerging critical infrastructure of the “smart city.”

scholarly journals Challenges of an Internet of Things-Based Health Monitoring System

2021 ◽  
Vol 23 (06) ◽  
pp. 164-169
Author(s):  
D. Arun Shunmugam ◽  
◽  
Dr. K. Ruba Soundar ◽  
M. Desiya Narayan ◽  
◽  
...  
Keyword(s):  
Internet Of Things ◽  
Medical Care ◽  
Internal Heat ◽  
Well Being ◽  
The Body ◽  
The Internet ◽  
Basic Part ◽  
The Right ◽  
The Internet Of Things ◽  
The Web

The Internet of Things (IoT) is a cutting-edge and quickly advancing innovation wherein everything (brilliant items and keen gadgets) is connected to the web for effective correspondence between them. The web of things is an impetus for medical care and assumes a basic part in an assortment of medical services following applications. By gathering internal heat level, circulatory strain, and sugar levels, organized sensors gadgets, regardless of whether worn on the body or installed in living conditions; permit the assortment of rich information to decide a patient’s physical and psychological well-being condition. The troublesome errand in the Internet of things is conveying the gathered information to the specialist, settling on the right choices dependent on the information gathered, and advising the patient. The creator of this paper centers around an investigation of IoT-based medical care frameworks, just as promising circumstances and difficulties for IoT-based patient wellbeing checking frameworks.

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