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[Book chapters] AI&Big Data 2018 : Artificial Intelligence and Big Data’s Potential for Disruptive Innovation

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Link: https://www.igi-global.com/publish/call-for-papers/call-details/3461
 
When Dec 16, 2018 - Dec 16, 2018
Where N/A
Submission Deadline Dec 16, 2018
Notification Due Dec 18, 2018
Final Version Due Feb 3, 2019
Categories    artificial intelligence   big data   disruptive innovation   knowledge management
 

Call For Papers

INTRODUCTION
"The rise of artificial intelligence and robotics is what we define as a mega-trend, a structural shift that is fundamentally transforming the global economy in a way that could have significant repercussions for the long term. The mass adoption of robots, automation and artificial intelligence could represent a fourth industrial revolution after steam, mass production and electronics". (The World Economic Forum, n.d.)

Currently, big data and artificial intelligence are acknowledged to be the most promising technologies that organizations can exploit to be contextually and technologically relevant.
Big data and artificial intelligence will assure that organizations make intelligent decisions based on available, historical information, yet understand the necessity of a synergy and interdependence of these technologies.

By the same token, artificial intelligence is not a revolution. It is a disruption. At once rapid, violent and ineluctable, the period in which we are propelled by technological progress is also incredibly prolific and propitious. All things are disruptable: from businesses and their services, but also our work models, our values and even our own substance as human beings. Faced with the power of this artificial intelligence wave, like a tsunami, sweeping all through its passage, it is urgent to understand the dynamics and new codes required by the disruption, and to accordingly adapt ourselves.

Advances in these domains additionally hold the potential to reshape, fundamentally, the manner in which we live and work. Improvements in productivity and efficiency, driven by the spread of these technologies, were widely predictable, yet there is no ecumenical consensus about what this can mean for our daily lives, both social and professional.

Reference
The World Economic Forum. (n.d.). Fourth Industrial Revolution. Retrieved from https://toplink.weforum.org/knowledge/insight/a1Gb0000001RIhBEAW/explore/summary

IBJECTIVES
Big data and artificial intelligence are at the forefront of technological advances that represent a potential transformational mega-trend, a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, while in some sectors the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Albeit, few enterprise organisations know how to successfully implement disruptive innovation on the exponential curve of the big data curve.
This book intends to fill this intellectual lacuna by:
* discerning the dynamics that engender disruption,
* explaining the production of new and innovative technologies, that is, artificial intelligence which ultimately challenge us, homo sapiens, apropos an extremely sensitive theme; our inherent intelligence,
* appreciating, pursuing and permitting the new organizational models, the culture and the requirements of this new paradigm to achieve its goals.
* being cognizant of the state of mind, aspirations and techniques of these new professional actors of disruption, prima facie illimitable and arriving in infinite droves.

TARGET AUDIENCE
The potential of big data is impacting all sectors, from healthcare to energy and transport, from finance and insurance to retail. It has assumed a disruptive, ubiquitous macrocosm, and its positive transformational potential has already been acknowledged in multitudinous key sectors.
It has as objective to amalgamate data owners, data analysts, skilled data professionals, cloud service providers, companies from industry, venture capitalists, entrepreneurs, research institutions and universities and will be useful to participants from both the industry and academia working in all the domains of big data, artificial intelligence, robotics and engineering, as well as all other target audience, including:

* Researchers,
* Scientists,
* City planners,
* Future Policy Makers,
* Professionals in the finance sector,
* Smart Innovators,
* Space Science Engineers,
* Mechanical Engineers,
* Electrical Engineers,
* Computer Science Engineers,
* Information Technology Experts,
* Robotic Technologist,
* Design Engineers,
* Law Professionals,
* Gaming professionals,
* Automation Industry Leaders,
* Health Care Service Providers,
* Defense Research Professionals,
* Automation Industry Leaders,
* Managers and Business Intelligence Experts,
* Advertising and Promotion Agency Executives,
* Professionals in media sector,
* Academics,
* Students,
* R and D leaders,
* Entrepreneurs,
* Innovation peers.


RECOMMENDED TOPICS
Knowledge management,
Big data governance,
Data- and prosperity-driven innovation,
Smart tourism,
Productivity 4.0,
Industry 4.0,
Manufacturing 4.0,
Semantic mapping,
Exponential leadership,
Software robots,
Wearable technology,
Wisdom governance,
Management revolution,
Science as evidence,
Organisational agility,
Folksonomy,
Next generation enterprise,
Floppy drones,
Smart education,
Solving the climate change,
Smart agriculture,
Ethics in artificial intelligence,
Cyber attacks and cyber neutrality,
Industrial Internet of Things.
Blockchain technology

SUBMISSION PROCEDURE
Researchers and practitioners are invited to submit on or before October 6, 2018, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by October 15, 2018 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by February 3, 2019, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission.
All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Trust in Knowledge Management and Systems in Organizations. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery®TM online submission manager.

PUBLISHER
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2020.

IMPORTANT DATES
December 16, 2018: Proposal Submission Deadline (DEADLINE EXTENDED)
December 18, 2018: Notification of Acceptance to Authors
February 3, 2019: Full Chapter Submission
April 3, 2019: Review Results Returned to chapter authors
May 15, 2019: Final Acceptance Notification to chapter authors
May 29, 2019: Final Chapter Submission

INQUIRIES
kruger.strydom@gmail.com

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