Leveraging Generative AI in Oracle APEX for Intelligent Applications
Author(s): Ashraf Syed
Publication #: 2510010
Date of Publication: 10.12.2024
Country: United States
Pages: 1-15
Published In: Volume 10 Issue 6 December-2024
DOI: https://doi.org/10.5281/zenodo.17409786
Abstract
The integration of generative artificial intelligence (AI) into low-code platforms is transforming enterprise application development, enabling rapid creation of intelligent, user-centric solutions. This article explores the synergy between generative AI and Oracle Application Express (APEX), a no-cost, database-centric platform, focusing on the APEX AI Assistant introduced in APEX 24.1 version. Through a comprehensive framework, we detail the technical implementation, use cases, and stakeholder impacts of AI-driven APEX applications, with a novel SQL-generating chatbot as a proof-of-concept. The chatbot translates natural language prompts into executable SQL queries, achieving 92% accuracy and reducing report generation time by 50%. Key use cases include conversational interfaces, automated data insights, code automation, personalization, and emerging vision/speech applications, demonstrating versatility across industries. Benefits include 45% faster development cycles, 40% cost savings, and 25% improved user engagement, validated by enterprise cases like Syneos Health. Challenges such as model accuracy, data privacy, and skill gaps were mitigated through prompt engineering, OCI’s secure infrastructure, and Oracle’s training resources. Future directions highlight multimodal AI and cross-platform synergies, positioning APEX as a leader in AI-driven low-code development. This study offers researchers a reproducible methodology and practitioners a scalable blueprint, underscoring AI’s role in democratizing innovation for enterprises worldwide.
Keywords: Generative AI, Oracle APEX, Low-Code Development, Intelligent Applications, SQL-Generating Chatbot, APEX AI Assistant, Oracle Cloud Infrastructure (OCI), Natural Language Processing, Enterprise Applications, Data Insights, Code Automation, Personalization, Conversational Interfaces, Multimodal AI, Data Privacy, Developer Productivity, Scalability.
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