A Study on The Limits and Potential of Machine Predictions from a Human-Big Data-Machine Interaction Perspective

AbstractThe increasing fluidity of social and business configurations made possible by the opportunities provided by the World Wide Web and the new technologies is questioning the validity of consolidated business models and managerial approaches. New rules are emerging and multiple changes are required to both individuals and organizations engaged in dynamic and unpredictable paths.In such a scenario, the paper aims at describing the potential role of big data and artificial intelligence in the path toward a collective approach to knowledge management. Thanks to the interpretative lens provided by systems thinking, a framework able to explain human-machine interaction is depicted and its contribution to the definition of a collective approach to knowledge management in unpredictable environment is traced.Reflections herein are briefly discussed with reference to the Chinese governmental approach for managing COVID-19 spread to emphasise the support that a technology-based collective approach to knowledge management can provide to decision-making processes in unpredictable environments.

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The Revolution of Artificial Intelligence and the Significance of Adopting AI in different Industries

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d1133.1284s219 ◽

2019 ◽

Vol 8 (4S2) ◽

pp. 642-644

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Big Data ◽

Learning Technologies ◽

Large Sets ◽

Wide Range ◽

Data Points ◽

Machine Interaction ◽

The Revolution

Artificial Intelligence (AI) is one of the most widely inflated technologies in several industries today. With the emergence of IoT, Big data and Digitalization, many industries produce large sets of data and AI begins to be the prominence for solving the increasing number of complications in this relevance. Artificial Intelligence (AI) and Machine Learning (ML) applications, spectacle substantial guarantee in gaining commercial traction in several businesses as AI brings with a probable of genuine human-to-machine interaction. When machines become intelligent, they can understand needs, connect with data points and arrive at better decisions. Therefore, Artificial Intelligence (AI) and Machine Learning technologies are being quickly adopted in wide range of applications in several industries. In this paper, we epitomize the fundamentals and the significance of adopting of Artificial Intelligence technologies in different industries.

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Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽

10.1044/leader.an5.18022013.59 ◽

2013 ◽

Vol 18 (2) ◽

pp. 59-59

Keyword(s):

Big Data

Find Out About 'Big Data' to Track Outcomes

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U.S., Canada Collaborate on Big Data in ASD Research

ASHA Leader ◽

10.1044/leader.nib4.20122015.16 ◽

2015 ◽

Vol 20 (12) ◽

pp. 16-16

Keyword(s):

Big Data

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Correlating Personality and Actual Phone Usage

Journal of Individual Differences ◽

10.1027/1614-0001/a000139 ◽

2014 ◽

Vol 35 (3) ◽

pp. 158-165 ◽

Cited By ~ 38

Author(s):

Christian Montag ◽

Konrad Błaszkiewicz ◽

Bernd Lachmann ◽

Ionut Andone ◽

Rayna Sariyska ◽

...

Keyword(s):

Big Data ◽

Social Network ◽

Mobile Phone ◽

Mobile Phones ◽

Self Report ◽

Psychological Variables ◽

New Approach ◽

Report Data ◽

Self Report Data ◽

Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

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“Big Data in Psychology: Methods and Applications”

Zeitschrift für Psychologie ◽

10.1027/2151-2604/a000295 ◽

2017 ◽

Vol 225 (3) ◽

pp. 287-288

Keyword(s):

Big Data

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org

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