Recent Emerging Technologies for Intelligent Learning and Analytics in Big Data

2020 ◽  
pp. 69-81
Author(s):  
Korhan Cengiz ◽  
Rohit Sharma ◽  
Kottilingam Kottursamy ◽  
Krishna Kant Singh ◽  
Tuna Topac ◽  
...  
Keyword(s):  
Big Data ◽  
Emerging Technologies

A Fitting Approach to Construct and Measurement Alignment

2017 ◽  
Vol 21 (3) ◽  
pp. 592-632 ◽  
Author(s):  
Margaret M. Luciano ◽  
John E. Mathieu ◽  
Semin Park ◽  
Scott I. Tannenbaum
Keyword(s):  
Big Data ◽  
Data Streams ◽  
Iterative Process ◽  
Emerging Technologies ◽  
Measurement Techniques ◽  
Great Promise ◽  
Big Data Technologies ◽  
Nearly Continuous ◽  
Dynamic Phenomena ◽  
Over Time

Many phenomena of interest to management and psychology scholars are dynamic and change over time. One of the primary impediments to the examination of dynamic phenomena has been challenges associated with collecting data at a sufficient frequency and duration to accurately model such changes. Emerging technologies that produce nearly continuous streams of big data offer great promise to address those challenges; however, they introduce new methodological challenges and construct validity concerns. We seek to integrate the emerging big data technologies into the existing repertoire of measurement techniques and advance an iterative process to enhance their measurement fit. First, we provide an overview of dynamic constructs and temporal frameworks, highlighting their measurement implications. Second, we discuss different data streams and feature emerging technologies that leverage big data as a means to index dynamic constructs. Third, we integrate the previous sections and advance an iterative approach to achieving measurement fit, highlighting factors that make some measurement choices more suitable and viable than others. In so doing, we hope to accelerate the advancement of dynamic theories and methods.

scholarly journals AI and Big Data Standardization: Contributing to United Nations Sustainable Development Goals

2020 ◽  
Author(s):  
Ray Walshe ◽  
Kevin Casey ◽  
Jane Kernan ◽  
Donal Fitzpatrick
Keyword(s):  
Sustainable Development ◽  
Big Data ◽  
United Nations ◽  
Sustainable Development Goals ◽  
Emerging Technologies ◽  
Communication Technologies ◽  
International Standards ◽  
Information Communication Technologies ◽  
Information Communication ◽  
Development Goals

Emerging Technologies like Artificial Intelligence (AI), Big Data, Internet of Things (IoT), Blockchain and 5G communications are innovation accelerators creating new products, processes and industries by disrupting the Information Communication Technologies status quo. International Standards Development Organisations (SDOs) and Standard Setting Organisations (SSOs) develop and evolve consensus documents of the state of the art and publish these international agreements as Standards. In this document the authors present uses cases where some of these emerging technologies can contribute significantly to achieving the United Nations Sustainable Development Goals.

The State of Florida Paleoindian Studies Early Paleoindian Potentials on the Continental Shelf

2019 ◽  
pp. 276-282
Author(s):  
Ervan G. Garrison
Keyword(s):  
Big Data ◽  
Continental Shelf ◽  
Emerging Technologies ◽  
The State ◽  
Western Hemisphere ◽  
Archaeological Sites ◽  
Sea Floor ◽  
Human Colonization ◽  
Underwater Sites

Especially given the debate over the timing and means of prehistoric human colonization of the Western Hemisphere, the search for submerged archaeological sites on the sea floor is critical. This chapter reflects on previous chapters in addressing how future researches might find these underwater sites by using methodologies that are both geologically and anthropologically theoretical, including utilizing big data and emerging technologies to examine the sea floor.

Information Privacy and Emerging Technologies in the UAE

2021 ◽  
pp. 1134-1152
Author(s):  
Dimitrios Xanthidis ◽  
Christos Manolas ◽  
Ourania Koutzampasopoulou Xanthidou ◽  
Han-I Wang
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Emerging Technologies ◽  
Personal Information ◽  
Local Environment ◽  
Information Privacy ◽  
Paper Briefly ◽  
Related Research ◽  
Research Themes

The rapid developments of emerging technologies, including Big Data, Cloud Computing, and Internet of Things, are causing many societies to struggle whilst trying to keep up with, and adopt them. As a consequence, serious concerns and issues are being raised. The threat to personal information privacy is one of these issues. This review paper briefly introduces the aforementioned technologies and explores concepts related to concerns on information privacy and disclosure in the U.A.E. in the context of these technologies. In addition, related research themes that could be interesting to explore are identified, with a focus on the local environment.

Emerging technologies in the age of big data

2019 ◽  
Vol 493 ◽  
pp. S758
Author(s):  
L.J. Kricka
Keyword(s):  
Big Data ◽  
Emerging Technologies

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 A new model for identifying emerging technologies

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Stephanie F. Hughes
Keyword(s):  
Big Data ◽  
Emerging Technologies ◽  
Intelligence Community ◽  
Competitive Advantages ◽  
New Model ◽  
Emerging Trends ◽  
The Status ◽  
Search Speed ◽  
The Many ◽  
The Impact

Today, the complexity of so many emerging technologies requires anunderstanding of adjacent technologies often originating from multiple industries. Technology sequence analysis has been used by organizations, governments and industries to help make sense of the many variables impacting the evolution of technologies. This technique relies heavily on the input of experts who can offer perspectives on the status of current technologieswhile also highlighting the potential opportunities in the future. However, the volume and speed at which scientific research is accelerating is making it nearly impossible for even the most knowledgeable expert to stay current with research in their own industries. Today however, the use of big data search tools can help identify emerging trends around disruptive technologieswell before many of the experts have fully grasped the impact of these technologies. Despite the fear of many in the intelligence community that these tools will make their jobs obsolete, we expect that the value of the intelligence expert will increase given their unique knowledge of relevant data sources and how to connect the data in meaningful ways to derive value for the firm. We propose a new forecasting model that incorporates a combination of technologysequencing analysis and big data tools within the organization while also leveraging experts from across the open innovation spectrum. This new model, informed by current client engagements, has the potential to create significant competitive advantages for organizations as they benefit from expanded search breadth, search depth and search speed all while leveraging a range of internal and external experts to make sense of the rapidly changingtechnological landscape confronting their environment.

Survey on Emerging Technologies for Secure Computations of Big Data

2015 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
Madhusudhana Nooka Reddy ◽  
◽  
C. Naga Raju ◽  
Keyword(s):  
Big Data ◽  
Emerging Technologies

Cloud Computing

2015 ◽  
Vol 5 (3) ◽  
pp. 32-43 ◽  
Author(s):  
Yulin Yao
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Big Data ◽  
Current Literature ◽  
Emerging Technologies ◽  
Future Directions ◽  
Development Review ◽  
The Past ◽  
New Framework

This paper provides an overview of Cloud Computing between Year 2009 and Year 2015. It presents the past and current literature and practices for Cloud Computing. Literatrue review is undertaken to identify key areas relevant to current Cloud Computing development. Review on frameworks for Cloud computing has also been presented to illustrate the good use of structured and valid framework approaches. Topics of discussion demonstrate that Cloud computing can provide added values not only to businesses but also Higher Education. Future directions and conclusion have been presented and acknowledged, including the development of a new framework. Cloud Computing is concluded to provide better services and integrations with other emerging technologies such as Big Data.

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