Artificial Intelligence and Business


  • Carlos Rios-Campos
  • Sandra Marcela Zapata Vega
  • Mariuxi Ileana Tejada-Castro
  • Erick Orlando Guerrero Zambrano
  • Dany Jamnier German Barreto Perez
  • Edilbrando Vega Calderón
  • Luz Magaly Fernandez Rojas
  • Irene Marely Ballena Alcantara



business, artificial intelligence, software


The general objective of the research was to determine the advances related to the artificial intelligence and business. The specific objectives of the research are to identify the software of AI used in business and the countries that invest more in AI. Methodology, in this research, 62 documents have been selected, carried out in the period 2018 - 2023; including: scientific articles, review articles and information from websites of recognized organizations. Results, every day new AI tools appear that support activities in today's businesses. Conclusions, about the general objective of the research, the importance of AI in business is beginning to be understood. Therefore, it is adopted in various organizational processes worldwide. AI is impacting various human activities, so it is necessary to keep an eye on its evolution. During the pandemic, businesses worldwide had to intensively use information and communication technologies in order to reach their customers. Subsequently, AI is presented as a tool that can radically change business. About the specific objectives of the research, the software of AI used in business are: Salesforce, HubSpot, IBM Watson, ChatGPT, Alteryx Analytics Automation Platform, Amazon SageMaker, GPT-3 model, Adobe Sensei, Marketo, Supply-chain management solutions based on artificial intelligence (AI), Kasisto, Workday, HireVue, Tableau, Power BI, Dynamic Yield, Darktrace,, UiPath, Automation Anywhere, Merative, Google Health, Google Translate. The countries that invest the most in AI are the United States, China and the European Union.


Adobe (2023a). Generative AI – Adobe Sensei. Retrieved from

Adobe (2023b). Marketo Engage - Marketing Automation | Adobe. Retrieved from

Agarwal, P., Swami, S. & Malhotra, S.K. (2022). Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review. Journal of Science and Technology Policy Management, Vol. ahead-of-print No. ahead-of-print.

Alam, A. (2021). Possibilities and Apprehensions in the Landscape of Artificial Intelligence in Education. International Conference on Computational Intelligence and Computing Applications (ICCICA), Nagpur, India, pp. 1-8, doi: 10.1109/ICCICA52458.2021.9697272

Alicke, K., Dilda, V., Görner, S., Mori, L., Rebuffel, P., Reiter, S. & Samek, R. (2021). Succeeding in the AI supply-chain revolution. Retrieved from

Alteryx (2023). Alteryx Analytics Cloud Platform. Retrieved from

Amazon Web Services (2023). Amazon SageMaker. Retrieved from

Automation Anywhere Inc. (2023). Automation + AI. Retrieved from

Barrero, A. & Rosero, A. (2018). Estado del Arte sobre Concepciones de la Diversidad en el Contexto Escolar Infantil. Revista Latinoamericana de Educación Inclusiva, 2018, 12(1), 39-55

Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing artificial intelligence. MIS quarterly, 45(3)

Bharadiya, J. (2023a). Driving Business Growth with Artificial Intelligence and Business Intelligence. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 6(4), 28-44. Retrieved from

Bharadiya, B. (2023b). A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics. American. Journal of Artificial Intelligence. Vol. 7, No. 1, pp. 24-30. doi: 10.11648/j.ajai.20230701.14

Canhoto, A. & Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons, Volume 63, Issue 2, Pages 183-193,

Chen, D., Esperança, JP. & Wang, S. (2022). The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms. Front. Psychol. 13:884830. doi: 10.3389/fpsyg.2022.884830

Collins (2023). Business. Retrieved from

CopyAI Inc. (2023). Write better marketing copy and content with AI. Retrieved from

Correia, S., Guerreiro, J., Tussyadiah, L. (2021). Artificial intelligence in business: State of the art and future research agenda, Journal of Business Research, Volume 129, Pages 911-926.

Criddle, C. (2023). Which business tasks can AI take on? And which can it not?. Retrieved from

Darktrace (2023). Darktrace | Cyber security that learns you. Retrieved from

Deloitte (2023). ¿Qué es Power BI?. Retrieved from

Di Vaio, A., Palladino, R., Hassan, R., Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, Volume 121, Pages 283-314.

Dynamicyield (2023). eCommerce Personalization. Retrieved from

Enholm, I.M., Papagiannidis, E., Mikalef, P. et al. (2022). Artificial Intelligence and Business Value: a Literature Review. Inf Syst Front 24, 1709–1734.

European Parliament (2023). What is artificial intelligence and how is it used?. Retrieved from

Feuerriegel, S., Shrestha, Y.R., von Krogh, G. et al. (2022). Nat Mach Intell 4, 611–613.

Foffano, F., Scantamburlo, T. & Cortés, A. (2023). Investing in AI for social good: an analysis of European national strategies. AI & Soc 38, 479–500.

Geissdoerfer, M., Vladimirova, D. & Evans, S. (2018). Sustainable business model innovation: A review, Journal of Cleaner Production, Volume 198, Pages 401-416, ISSN 0959-6526.

Glikson, E. & Williams, A. (2020). Human Trust in Artificial Intelligence: Review of Empirical Research. ANNALS, 14, 627–660,

Google Translate (2023). About. Retrieved from

Goralski, M. & Tan, T. (2020). Artificial intelligence and sustainable development, The International Journal of Management Education, Volume 18, Issue 1, 100330, ISSN 1472-8117.

Gupta, S., Modgil, S., Bhattacharyya, S. et al. (2022). Artificial intelligence for decision support systems in the field of operations research: review and future scope of research. Ann Oper Res 308, 215–274.

Haan, K. (2023a). How Businesses Are Using Artificial Intelligence In 2023. Retrieved from

Haan, K. (2023b). How To Start A Business In 11 Steps (2023 Guide). Retrieved from

HireVue Inc. (2023). HireVue Hiring Platform: Video Interviews, Assessments, AI. Retrieved from

HubSpot (2023). Supercharge Your Work With HubSpot AI. Retrieved from

IBM (2023). IBM Watson. Retrieved from

Kasisto (2023). Kasisto: Conversational AI Solutions for Banking and Finance. Retrieved from

Kitsios, F.; Kamariotou, M. (2021). Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda. Sustainability, 13, 2025.

Lee, J., Suh, T., Roy, D., & Baucus, M. (2019). Emerging Technology and Business Model Innovation: The Case of Artificial Intelligence. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 44. Elsevier BV. Retrieved from

McKinsey & Company (2023). What is AI?. Retrieved from

Merative (2023). Merative: Healthcare Data, Technology and Analytics. Retrieved from

Nortje, M. & Grobbelaar, S. (2020). A Framework for the Implementation of Artificial Intelligence in Business Enterprises: A Readiness Model. 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Cardiff, UK, 2020, pp. 1-10, doi: 10.1109/ICE/ITMC49519.2020.9198436

Nosova, S., Norkina, A., Makar, S., Gerasimenko, T. & Medvedeva, O. (2022). Artificial intelligence as a driver of business process transformation, Procedia Computer Science, Volume 213, Pages 276-284, ISSN 1877-0509.

OECD (2023). Artificial intelligence. Retrieved from

OECD.AI (2023). Visualisations powered by JSI using data from Preqin, accessed on 7/11/2023. Retrieved from

Olavsrud, T. & Edwards, J. (2023). What is predictive analytics? Transforming data into future insights. Retrieved from

OpenAI (2023a). Introducing ChatGPT. Retrieved from

Openai (2023b). Models - OpenAI API. Retrieved from

Perifanis, N.-A., & Kitsios, F. (2023). Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review. Information, 14(2), 85. MDPI AG. Retrieved from

Ritter, T. & Pedersen, C. (2020). Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future, Industrial Marketing Management, Volume 86, Pages 180-190, ISSN 0019-8501.

Rodrigo, N. (2023). ¿Estará libre la inteligencia artificial de los comportamientos en manada?. Retrieved from

Salesforce (2023). Artificial Intelligence. Retrieved from

Soni, N., Sharma, E., Singh, N., Kapoor, A. (2020). Artificial Intelligence in Business: From Research and Innovation to Market Deployment, Procedia Computer Science, Volume 167, Pages 2200-2210, ISSN 1877-0509.

Tableau Software (2023). Tableau: Business Intelligence and Analytics Software. Retrieved from

Thiebes, S., Lins, S. & Sunyaev, A. (2021). Trustworthy artificial intelligence. Electron Markets 31, 447–464.

UiPath (2023). UiPath: AI at work-The Business Automation Platform. Retrieved from

U.S. Department of State (2021). Artificial Intelligence (AI). Retrieved from

Uzialko, A. (2023). How Artificial Intelligence Will Transform Businesses. Retrieved from

Vardarlier, P., Zafer, C. (2020). Use of Artificial Intelligence as Business Strategy in Recruitment Process and Social Perspective. In: Hacioglu, U. (eds) Digital Business Strategies in Blockchain Ecosystems. Contributions to Management Science. Springer, Cham.

Wamba-Taguimdje, S.-L., Fosso Wamba, S., Kala Kamdjoug, J.R. and Tchatchouang Wanko, C.E. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects, Business Process Management Journal, Vol. 26 No. 7, pp. 1893-1924.

Workday Inc. (2023). Workday Enterprise Management Cloud. Retrieved from

Zhang, C. & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects, Journal of Industrial Information Integration, Volume 23, 100224, ISSN 2452-414X.




How to Cite

Rios-Campos, C., Vega, S. M. Z., Tejada-Castro, M. I., Zambrano, E. O. G., Perez, D. J. G. B., Calderón, E. V., Rojas, L. M. F., & Alcantara, I. M. B. (2023). Artificial Intelligence and Business. South Florida Journal of Development, 4(9), 3547–3564.

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