The Impact of Artificial Intelligence on Innovation
DOI:
https://doi.org/10.18034/gdeb.v7i2.515Keywords:
Artificial intelligence, innovation, competition policy, economic costAbstract
Artificial intelligence has the potential to greatly increase the efficiency of the current life in which we live. However, it may result in more impacts through its application as the modern mode in invention and bring a new perspective of the existing innovation processes in the organization of R & D. Application of machines' intelligence such as robots from the recent development is a vivid example of invention brought about by the innovation filtered via artificial intelligence. Innovative ways through invention have a sense of replacement in man's duties in the world's varied economic sectors. Large datasets and algorithms will be used in research industries, and the latter will result in potential racing, monitored incentives by large companies, and particular algorithms. However, transparency and transfer of information between public and private will be the engine source to stimulate healthy inventions and innovation programs shortly. Rapid advancement in the artificial intelligence arena has significant sound impacts on society as far as the economy is concerned. Production and characteristics of many products and services have a high potentiality to be directly influenced by these innovations, and important productivity, competition, and employment implications. Even though these innovations will positively influence the largest proportion of human lives, artificial intelligence (A.I.) can potentially change its innovation processes, accompanied by approximately thoughtful consequences, and may gradually dominate the direct consequence.
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Ayoade, A. A., Salako, S. G., Yusuf-Babatunde, A. M., Lawal, O. A., & KuKu, M. A. (2017). Assessment of Perceived Health and Environmental Problems of Household Energy Consumption among Ilese Ijebu Residents Southwestern Nigeria. Asia Pacific Journal of Energy and Environment, 4(2), 41-48. https://doi.org/10.18034/apjee.v4i2.241 DOI: https://doi.org/10.18034/apjee.v4i2.241
Brooks, S. P. J., & Storey, K. B. (1990). Where is the glycolytic complex? A critical evaluation of present data from muscle tissue. FEBS letters, 278(2), 135-138. https://www.sciencedirect.com/science/article/pii/0014579391801018
Donepudi, P. K. (2016). Influence of Cloud Computing in Business: Are They Robust? Asian Journal of Applied Science and Engineering, 5(3), 193-196. http://doi.org/10.5281/zenodo.4110309
Donepudi, P. K. (2017a). AI and Machine Learning in Banking: A Systematic Literature Review. Asian Journal of Applied Science and Engineering, 6(3), 157-162. http://doi.org/10.5281/zenodo.4109672
Donepudi, P. K. (2017b). Machine Learning and Artificial Intelligence in Banking. Engineering International, 5(2), 83-86. https://doi.org/10.18034/ei.v5i2.490 DOI: https://doi.org/10.18034/ei.v5i2.490
Griliches, Z. (1957). Hybrid corn: An exploration in the economics of technological change. Econometrica, Journal of the Econometric Society, 501-522. https://www.jstor.org/stable/1905380 DOI: https://doi.org/10.2307/1905380
Happy, F. A., Hossain, M. S., & Rahman, A. (2015). Pressure Data Analysis and Multilayer Modeling of a Gas-Condansate Reservoir. Asia Pacific Journal of Energy and Environment, 2(1), 7-16. https://doi.org/10.18034/apjee.v2i1.219 DOI: https://doi.org/10.18034/apjee.v2i1.219
Masud-Ul-Hasan, M., Rahman, M. H., & Rana, M. (2015). Identifying Service Quality Attributes and Measuring Customer Satisfaction of Dhaka-Pabna Route Public Bus Service. Asian Business Review, 5(2), 72-78. https://doi.org/10.18034/abr.v5i2.57 DOI: https://doi.org/10.18034/abr.v5i2.57
Rahman, M. H., Kamruzzaman, M., Haque, M. E., Mamun, M. A. A., & Molla, M. I. (2013). Perceived Intensity of Stress Stressors: A Study on Commercial Bank in Bangladesh. Asian Business Review, 3(1), 40-43. https://doi.org/10.18034/abr.v3i1.101 DOI: https://doi.org/10.18034/abr.v3i1.101
Taher-Uz-Zaman, M., Ahmed, M. S., Hossain, S., Hossain, S., & Jamal, G. R. A. (2014). Multipurpose Tactical Robot. Engineering International, 2(1), 21-27. https://doi.org/10.18034/ei.v2i1.204 DOI: https://doi.org/10.18034/ei.v2i1.204
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