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Exploring the Future of Salesforce with Einstein GPT
Venkat Sumanth Guduru
Venkatguduru135@gmail.com
Abstract— This paper discusses how far the impact of Einstein GPT can go into changing Salesforce, talking from its architecture, applications, and future possibilities. Einstein GPT helps in the integration of advanced generative pre-trained transformers in Salesforce, enabling it to allow natural language interactions and enhanced insights of data. The essay will research through its architecture, including the Data Layer, AI/ML Layer, and Interaction Layer, bringing into focus key applications such as sales automation, improvement in customer service, optimization in marketing, and predictive analytics. This paper considers the moral dimensions of using AI, too. That is, by considering these dimensions, the essay points out how Einstein GPT is bound to set a new course of CRM capabilities and future innovations within Salesforce.
Keywords—Salesforce, GPT, Einstein, AI, Integration
REFERENCES
[1] D. Parmar, "Enhancing Customer Relationship Management with Salesforce Einstein GPT," 2023.
[2] J. Smith, A. Johnson, and R. Williams, "The Impact of AI on Customer Relationship Management Systems," Journal of Advanced Technology, vol. 12, no. 4, pp. 135-150, October 2023.
[3] A. Lallee and N. Muco, "Hello! How can I assist you today?: An Analysis of GPT Technology in Supporting International Entrepreneurship," November 2023.
[4] S. Bengesi, H. El-Sayed, M. K. Sarker, Y. Houkpati, J. Irungu, and T. Oladunni, "Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers," IEEE Access, January 2024.
[5] P. Lee, C. Goldberg, and I. Kohane, "The AI revolution in medicine: GPT-4 and beyond," Pearson, August 2023.
[6] D. Li and L. Murr, "HumanEval on Latest GPT Models--2024," arXiv preprint arXiv:2402.14852, February 2024.
[7] M. Luk, "Generative AI: Overview, economic impact, and applications in asset management," Economic Impact, and Applications in Asset Management, September 18, 2023.
[8] Y. Wang, S. R. Zhang, A. Momtaz, R. Moradi, F. Rastegarnia, N. Sahakyan, ... and L. Li, "Can AI Understand Our Universe? Test of Fine-Tuning GPT by Astrophysical Data," arXiv preprint arXiv:2404.10019, April 2024.
[9] R. Gubelmann, "A Loosely Wittgensteinian Conception of the Linguistic Understanding of Large Language Models like BERT, GPT-3, and ChatGPT," Grazer Philosophische Studien, vol. 99, no. 4, pp. 485-523, April 2023.
[10] P. Chew, "Pioneering Tomorrow's AI System Through Criminology: An Empirical Study Of The Peter Chew Method For Overcoming Error In Chat GPT (Bullet Trajectories Of Leaning Tower)," SSRN, April 2024, available at SSRN 4735540.
[11] J. Hu and B. Zhang, "Application of SalesForce Platform in Online Teaching in Colleges and Universities under Epidemic Situation," in Proc. 2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), pp. 276-279, IEEE, June 2020.
[12] J. Garon, "A practical introduction to generative AI, synthetic media, and the messages found in the latest medium," Synthetic Media, and the Messages Found in the Latest Medium, March 14, 2023.
[13] K. Kaliuta, "Integration of AI for routine tasks using Salesforce," Asian Journal of Research in Computer Science, vol. 16, no. 3, pp. 119-127, Jul 17, 2023.
[14] M. Shrivastava, Learning Salesforce Einstein, Packt Publishing Ltd, June 28, 2017.
[15] K. Kaliuta, "Implementing voice recognition and natural language processing in Salesforce," July 2023.
