Leveraging Gen AI to Create Self-Service BI Tools for Operations and Sales
Keywords:
Generative AI, Self-Service BI, NLP, Predictive Analytics, Transformer Models, Ethical AIAbstract
The integration of Generative AI (Gen AI) into self-service Business Intelligence (BI) tools has revolutionized how enterprises operationalize data-driven decision-making. This paper proposes a Gen AI-driven framework that automates dynamic query generation, natural language processing (NLP)-based interactions, and real-time predictive analytics for operations and sales. By leveraging transformer-based architectures and adaptive learning, the framework reduces dependency on technical expertise while improving accuracy (up to 92% in predictive tasks) and scalability. Challenges such as data quality, ethical governance, and model explainability are addressed through modular design and hybrid AI architectures. The study validates the framework using industry benchmarks, demonstrating a 40% reduction in query resolution time and a 35% improvement in sales forecasting precision.
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