International Journal of Progressive Research in Engineering Management and Science
(Peer-Reviewed, Open Access, Fully Referred International Journal)

ISSN:2583-1062
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Paper Details

AI IN B2B MARKETING AUTOMATION (KEY IJP************264)

  • Dr.v Anitha, Sathish.l

Abstract

In the current landscape, the integration of AI technologies is reshaping various industries, driving efficiency and innovation while also presenting challenges. The rapid advancement of machine learning and autonomous systems is enabling businesses to Streamline operations, boost decision-making processes, and improve the experience of customers. However, this shift also raises concerns about job displacement, ethical considerations, and data privacy. Keysectors such as finance, healthcare, manufacturing, and logistics are witnessing substantial transformations. For instance, AI applications in healthcare are revolutionizing diagnostics and personalized medicine, while in finance, algorithms are streamlining trading and risk assessment. Moreover, as organizations adopt AI, there is a pressing need for a comprehensive understanding of its implications on workforce dynamics and regulatory frameworks. Thisincludes handling problems related to accountability, clearness, and fairness in AI systems. The ongoing research aims to provide valuable insights into these developments, identifyingopportunities for collaboration between industry, academia, and policymakers to navigate the complexities of AI's effect on the community and the economy. Overall, while the potential benefits of AI are immense, a balanced approach is essential to maximize advantages while mitigating risks.

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