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HandWiki. Marketing and Artificial Intelligence. Encyclopedia. Available online: https://encyclopedia.pub/entry/35402 (accessed on 06 October 2026).
HandWiki. Marketing and Artificial Intelligence. Encyclopedia. Available at: https://encyclopedia.pub/entry/35402. Accessed October 06, 2026.
HandWiki. "Marketing and Artificial Intelligence" Encyclopedia, https://encyclopedia.pub/entry/35402 (accessed October 06, 2026).
HandWiki. (2022, November 21). Marketing and Artificial Intelligence. In Encyclopedia. https://encyclopedia.pub/entry/35402
HandWiki. "Marketing and Artificial Intelligence." Encyclopedia. Web. 21 November, 2022.
Marketing and Artificial Intelligence
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The content is sourced from: https://handwiki.org/wiki/Software:Marketing_and_artificial_intelligence

The fields of marketing and artificial intelligence converge in systems which assist in areas such as market forecasting, and automation of processes and decision making, along with increased efficiency of tasks which would usually be performed by humans. The science behind these systems can be explained through neural networks and expert systems, computer programs that process input and provide valuable output for marketers. Artificial intelligence systems stemming from social computing technology can be applied to understand social networks on the Web. Data mining techniques can be used to analyze different types of social networks. This analysis helps a marketer to identify influential actors or nodes within networks, information which can then be applied to take a societal marketing approach.

artificial intelligence neural networks social networks

References

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  2. Tedesco, B. G. (1992), Neural Analysis: Artificial Intelligence Neural Networks Applied to Single Source and Geodemographic Data. Chicage, IL: Grey Associates.
  3. Tedesco, B. G. (1992). Neural Marketing: Artificial Intelligence Neural Networks In Measuring Consumer Expectations. Chicago, IL: Grey Associates.
  4. Bloom, Jonathan Z. (January 2005). "Market Segmentation". Annals of Tourism Research 32 (1): 93–111. doi:10.1016/j.annals.2004.05.001.  https://dx.doi.org/10.1016%2Fj.annals.2004.05.001
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  6. Hall, Owen P. (2002). "Artificial Intelligence Techniques Enhance Business Forecasts". Graziado Business Review 5 (2). https://gbr.pepperdine.edu/2010/08/artificial-intelligence-techniques-enhance-business-forecasts/. 
  7. "Neural net technology: Ready for prime time?". IEEE Expert: Intelligent Systems and Their Applications 7 (6): 2–4. 1 December 1992. https://dl.acm.org/doi/abs/10.5555/629535.629885. 
  8. Woelfel, J. (1992). Artificial Neural Networks for Advertising and Marketing Research: A Current Assessment. University at Buffalo.
  9. Lin, B. (1995). Applications of Neural Network in Marketing Decision Making. Shreveport: Louisiana State University. https://masters.donntu.org/2011/fknt/shumaiev/library/article07.htm
  10. Wierenga, Berend (2010). "Marketing and Artificial Intelligence: Great Opportunities, Reluctant Partners". Marketing Intelligent Systems Using Soft Computing. Studies in Fuzziness and Soft Computing. 258. pp. 1–8. doi:10.1007/978-3-642-15606-9_1. ISBN 978-3-642-15605-2.  https://dx.doi.org/10.1007%2F978-3-642-15606-9_1
  11. Matsatsinis, N. F., & Siskos, Y. (2002). Intelligent Support Systems for Marketing Decisions. Norwell, MA, USA: Kulwer Academic Publishers.
  12. Phillips-Wren, G., Jain, L. C., & Ichalkaranje, N. (2008). Intelligent Decision Making: An AI Approach. Spring Publishing Company.
  13. Crunk, John; North, M. (2007). "Decision Support Systems and Artificial Intelligence Technologies in Aid of Information Systems Based Marketing". International Management Review 3 (2): 61–86. 
  14. TechTarget. (2004, February). Marketing Automation. Retrieved April 20, 2012 from Search CRM: http://searchcrm.techtarget.com/definition/marketing-automation
  15. Sharma, Sarika; Goyal, D.P.; Mittal, R.K. (2010). "Imperative relationship between data quality and performance of data-mining tools for CRM". International Journal of Business Competition and Growth 1 (1): 45. doi:10.1504/IJBCG.2010.032828.  https://dx.doi.org/10.1504%2FIJBCG.2010.032828
  16. Gaffney, A. (2008). DemandGen Honors Top 10 Firms Using Automation Tools to Fuel Business Growth. Retrieved April 20, 2012 from Demand GenReport: The Score Card for Sales & Marketing Automation: https://www.demandgenreport.com/gdpr/demandgen-honors-top-10-firms-using-automation-tools-to-fuel-business-growth/ }}
  17. Murray, P. (2012, March 21). Amazon Goes Robotic, Acquires Kiva Systems, Makers of Warehouse Robot. Retrieved April 18, 2012 from Singularity Hub: http://singularityhub.com/2012/03/21/amazon-goes-robotic-acquires-kiva-systems-makers-of-the-warehouse-robot/ -
  18. Liu, B. (2011). Web Data Mining: Opinion Mining and Sentiment Analysis (2nd ed.). New York: Springer. Retrieved April 19, 2012
  19. Wang, Fei-Yue; Carley, Kathleen M.; Zeng, Daniel; Mao, Wenji (March 2007). "Social Computing: From Social Informatics to Social Intelligence". IEEE Intelligent Systems 22 (2): 79–83. doi:10.1109/MIS.2007.41.  https://dx.doi.org/10.1109%2FMIS.2007.41
  20. Culotta, Aron; Bekkerman, Ron; McCallum, Andrew (1 January 2004). "Extracting social networks and contact information from email and the Web". Computer Science Department Faculty Publication Series. https://scholarworks.umass.edu/cs_faculty_pubs/33/. 
  21. Ellott, J. (July, 2017). New AI-based tools are transforming social media marketing. Forbes. Retrieved from https://www.forbes.com/sites/johnellett/2017/07/27/new-ai-based-tools-are-transforming-social-media-marketing/#7437b17669a2
  22. Twizoo. (November 2017). All good things…can get better. Medium. Retrieved from: https://medium.com/@TwizooSocial/all-good-things-can-get-better-301f425d19bc
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