As organizations cautiously explore Generative AI, particularly LLM-powered tools like ChatGPT, many are balancing the potential benefits with the significant risks. While LLMs promise to enhance productivity, creativity, and information synthesis, they also come with challenges such as unrealistic expectations, data security concerns, and fabricated responses. This article discusses how businesses can successfully implement Generative AI by understanding its limitations, incorporating structured knowledge, utilizing retrieval-augmented generation (RAG), and focusing on use cases. It also highlights the importance of metadata, end-user acceptance, and governance in ensuring long-term success.
Link to full article: https://www.earley.com/ama-article
The full article was featured in Applied Marketing Analytics.