Integrating Artificial Intelligence in Enterprise Architecture: Enhancing Cloud-Based Salesforce Solutions for Sales and Marketing Optimization

The integration of Artificial Intelligence (AI) in Enterprise Architecture (EA) is transforming cloud-based Salesforce solutions, driving significant advancements in sales and marketing optimization. AI-powered tools, such as predictive analytics, natural language processing, and machine learning, enhance decision-making, customer relationship management, and sales forecasting. This paper explores how AI-driven capabilities improve enterprise-wide data management, personalization, and automation within Salesforce platforms. By leveraging AI, businesses can streamline workflows, enhance customer engagement, and optimize marketing strategies. The study also discusses the challenges and best practices in integrating AI into EA, ensuring scalability, security, and compliance. The findings suggest that AI-enriched Salesforce solutions enable enterprises to gain a competitive edge by fostering efficiency and innovation in sales and marketing operations.

Authors

Publication Details

Journal
Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
Published
2025-03-26
DOI
https://doi.org/10.60087/jaigs.v8i1.344
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating Artificial Intelligence in Enterprise Architecture: Enhancing Cloud-Based Salesforce Solutions for Sales and Marketing Optimization

Karthi Gopalaswamy
Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
Big Data and Business Intelligence
article

Integrating Artificial Intelligence in Enterprise Architecture: Enhancing Cloud-Based Salesforce Solutions for Sales and Marketing Optimization

Karthi Gopalaswamy
article en

Abstract

The integration of Artificial Intelligence (AI) in Enterprise Architecture (EA) is transforming cloud-based Salesforce solutions, driving significant advancements in sales and marketing optimization. AI-powered tools, such as predictive analytics, natural language processing, and machine learning, enhance decision-making, customer relationship management, and sales forecasting. This paper explores how AI-driven capabilities improve enterprise-wide data management, personalization, and automation within Salesforce platforms. By leveraging AI, businesses can streamline workflows, enhance customer engagement, and optimize marketing strategies. The study also discusses the challenges and best practices in integrating AI into EA, ensuring scalability, security, and compliance. The findings suggest that AI-enriched Salesforce solutions enable enterprises to gain a competitive edge by fostering efficiency and innovation in sales and marketing operations.

Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023Vol. 8(1)
Openalex Percentile: Top 92%
Big Data and Business Intelligence
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Integrating Artificial Intelligence in Enterprise Architecture: Enhancing Cloud-Based Salesforce Solutions for Sales and Marketing Optimization — Karthi Gopalaswamy · Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023 (2025) | TGRS Research Map | TGRS