THE POWER OF HUMAN–MACHINE COLLABORATION: ARTIFICIAL INTELLIGENCE, BUSINESS AUTOMATION, AND THE SMART ECONOMY

doi:10.22381/emfm13420184

THE POWER OF HUMAN–MACHINE COLLABORATION: ARTIFICIAL INTELLIGENCE, BUSINESS AUTOMATION, AND THE SMART ECONOMY

Economics Management and Financial Markets ◽

10.22381/emfm13420184 ◽

2018 ◽

Vol 13 (4) ◽

pp. 51 ◽

Cited By ~ 14

Keyword(s):

Artificial Intelligence ◽

Business Automation

Artificial Intelligence, Machine Learning and Data Science as Iterations of Business Automation for Small Businesses

Management of Data in AI Age ◽

10.46679/isbn978819484834904 ◽

2020 ◽

pp. 87-94

Author(s):

Pooja Sharma ◽

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Multinational Corporations ◽

Small Businesses ◽

Data Science ◽

Small Data ◽

Decision Systems ◽

Business Operations ◽

Business Automation ◽

Machine Learning Tool

Artificial intelligence and machine learning, the two iterations of automation are based on the data, small or large. The larger the data, the more effective an AI or machine learning tool will be. The opposite holds the opposite iteration. With a larger pool of data, the large businesses and multinational corporations have effectively been building, developing and adopting refined AI and machine learning based decision systems. The contention of this chapter is to explore if the small businesses with small data in hands are well-off to use and adopt AI and machine learning based tools for their day to day business operations.

The rising tide of artificial intelligence and business automation: Developing an ethical framework

Business Horizons ◽

10.1016/j.bushor.2018.07.001 ◽

2018 ◽

Vol 61 (6) ◽

pp. 823-832 ◽

Cited By ~ 27

Author(s):

Scott A. Wright ◽

Ainslie E. Schultz

Keyword(s):

Artificial Intelligence ◽

Ethical Framework ◽

Business Automation

Artificial Intelligence in Drug Discovery

10.1039/9781788016841 ◽

2020 ◽

Keyword(s):

Artificial Intelligence ◽

Drug Discovery

Artificial Intelligence and Social Work

10.1017/9781108669016 ◽

2018 ◽

Cited By ~ 4

Keyword(s):

Artificial Intelligence ◽

Social Work

Artificial Intelligence

10.1017/cbo9780511794797 ◽

2009 ◽

Cited By ~ 138

Author(s):

David L. Poole ◽

Alan K. Mackworth

Keyword(s):

Artificial Intelligence

The economics of selection of mail orders Drs. Zahavi and Levin are the masterminds behind the development of AMOS, a customized predictive modeling system for the Franklin Mint in Philadelphia, and GainSmarts, a general purpose data mining system that is the two-time winner of the KDD-CUP competition for the best data mining tools (1997 and 1998) sponsored by the American Association for Artificial Intelligence.

Journal of Interactive Marketing ◽

10.1002/dir.1016.abs ◽

2001 ◽

Vol 15 (3) ◽

pp. 53

Author(s):

Nissan Levin ◽

Jacob Zahavi

Keyword(s):

Artificial Intelligence ◽

Data Mining ◽

Predictive Modeling ◽

American Association ◽

General Purpose ◽

Mining System ◽

Data Mining System ◽

Mining Tools ◽

Selection Of

Review of Machines Who Think: A Personal Inquiry Into the History and Prospects of Artificial Intelligence.

Contemporary Psychology ◽

10.1037/020306 ◽

1981 ◽

Vol 26 (6) ◽

pp. 484-484

Author(s):

George Mandler

Keyword(s):

Artificial Intelligence

Artificial intelligence in maintenance: Synthesis of technical issues.

PsycEXTRA Dataset ◽

10.1037/e418192004-001 ◽

1985 ◽

Cited By ~ 3

Author(s):

J. Jeffrey Richardson

Keyword(s):

Artificial Intelligence ◽

Technical Issues

The problems and promises of artificial intelligence

PsycEXTRA Dataset ◽

10.1037/e440332008-001 ◽

1979 ◽

Cited By ~ 1

Author(s):

Gregory Freiherr

Keyword(s):

Artificial Intelligence

The seeds of artificial intelligence

PsycEXTRA Dataset ◽

10.1037/e508012009-001 ◽

1980 ◽

Keyword(s):

Artificial Intelligence