Summary of Leveraging Ai and Nlp For Bank Marketing: a Systematic Review and Gap Analysis, by Christopher Gerling et al.
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis
by Christopher Gerling, Stefan Lessmann
First submitted to arxiv on: 17 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); General Economics (econ.GN)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper examines the increasing influence of Artificial Intelligence (AI) and Natural Language Processing (NLP) on banking marketing strategies, emphasizing their evolving roles in customer engagement, value creation, and operational excellence. While AI and NLP have been extensively studied in general marketing, there is a notable knowledge gap regarding their specific applications within the banking sector. This research addresses this gap by conducting a systematic review and strategic analysis of AI and NLP applications in bank marketing, focusing on their integration across the customer journey and operational processes. The study employs the PRISMA methodology to systematically review existing literature, assessing the current landscape of AI and NLP in bank marketing. Furthermore, it utilizes semantic mapping with Sentence Transformers and UMAP for strategic gap analysis to identify underexplored areas and opportunities for future research. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how Artificial Intelligence (AI) and Natural Language Processing (NLP) are changing the way banks market themselves. While AI and NLP have been studied in general marketing, we don’t know much about their specific roles in banking. This study reviews what’s already known about AI and NLP in bank marketing, focusing on how they can help with customer engagement and making money within the sector. |
Keywords
» Artificial intelligence » Natural language processing » Nlp » Umap
