UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 9
October-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRA006365


Registration ID:
189263

Page Number

262-265

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Title

HUMAN MACHINE COLLABORATION –THE EMERGING BUSINESS PARADIGM

Abstract

Automation and Artificial Intelligence (AI) are the buzzwords today. Irrespective of Industry, job loss due to Automation and Emergence of Artificial Intelligence is the current threat. Automation refers to repetition of monotonous work by machines and Artificial intelligence is the next step where machines have the capability to think, reason, learn and adapt as like humans. Automation is not new and machines were used to perform mundane tasks for several decades. AI is relatively new and companies are investing in the research and development of AI Systems as it has become a competitive necessity. AI offers numerous benefits and is finding its applications in several industries like automobiles, retail, entertainment, medicine, education, etc., We are currently in the Narrow Artificial Intelligence Phase and Companies like Google, Microsoft, IBM, Accenture, etc., are investing heavily on AI and are gearing for the next phases of AI – the General Artificial Intelligence and Super Artificial Intelligence Phases. Currently business transformation is happening and intelligent machines have become indispensable in workplace. Cobots have already started assisting humans in Hyundai, Mercedes Benz and Alexa, Cortana are assisting humans in day to day operations. With Intelligent machines becoming the key contributor in today’s and tomorrow’s business world, Management thinkers at Harvard and reputed institutes/companies have started exploring whether Intelligent machines will be replacing humans or will they be augmenting humans in performing certain tasks. Research articles in Harvard Business Review, Indian Management and other referred journals on this topic are being posted for some time now. The common forecast and prediction is that there is no need to panic of Intelligent Machines and they will be augmenting humans in workplace and humans will be guiding the intelligent machines and predominantly involved in innovating products/processes/services. So, it is imperative for tomorrow’s business managers to manage humans and machines in a collaborative environment. In this context, this paper provides an overview of the emerging business paradigm – ‘Human-Machine Collaboration’, highlights the key roles performed by humans, machines in the future, captures the key insights suggested by intellectuals and experts in getting an organization ready to transform itself to manage human-machine collaboration effectively and also highlights the efforts taken by Government of India to make India ready for the next business paradigm.

Key Words

Artificial Intelligence, Machine Learning, Human Machine Collaboration

Cite This Article

"HUMAN MACHINE COLLABORATION –THE EMERGING BUSINESS PARADIGM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.262-265, October-2018, Available :http://www.jetir.org/papers/JETIRA006365.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"HUMAN MACHINE COLLABORATION –THE EMERGING BUSINESS PARADIGM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp262-265, October-2018, Available at : http://www.jetir.org/papers/JETIRA006365.pdf

Publication Details

Published Paper ID: JETIRA006365
Registration ID: 189263
Published In: Volume 5 | Issue 9 | Year October-2018
DOI (Digital Object Identifier):
Page No: 262-265
Country: --, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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