As enterprises increasingly adopt multicloud strategies, the role of developers is evolving significantly. They’re tasked with creating AI-powered applications that seamlessly integrate data and services across various cloud environments. Financial management systems, which are the core of enterprise operations, require real-time insights, automation, and AI-driven decision-making to improve efficiency, accuracy, and compliance.

However, developers face significant challenges when working across multiple cloud platforms, such as data fragmentation, interoperability issues, and security risks, all while striving to improve performance and manage costs. Traditional financial applications typically rely on structured data and SQL queries. As the demand for AI-driven insights grows, developers must incorporate AI Vector Search, natural language processing (NLP), and real-time analytics into their applications to ensure high performance and seamless integration of cross-cloud functionality.

Oracle’s Key Capabilities

Oracle Database offers a robust framework for modern applications, seamlessly integrating with AI and machine learning technologies. With Oracle 23AI, developers can take advantage of the following features:

  • AI Vector Search: Perform semantic searches directly with the database
  • Retrieval-augmented generation (RAG): Utilize REST API for intelligent data retrieval
  • In-database AI and machine learning (ML): Run embedding models using the ONNX framework
  • JSON-relational duality: Bridge structured and semi-structured data seamless
  • SelectAI: Translate natural language queries into SQL for easy data access
  • GPU support in Oracle Machine Learning notebooks: Accelerate AI workloads with GPU-based processing.

Developer Demo: AI-Powered Chat Interface for Financial Management Systems

The demo, AI-powered chat interface for financial management systems, addresses developer concerns and serves as a practical showcase of Oracle’s capabilities. This solution demonstrates the creation of a multicloud, AI-powered chat interface that integrates Oracle Fusion Cloud Financials, Oracle Database on Google Cloud, and Google Gemini APIs. The chat interface enables querying of employee data and content generation based on retrieved information.

Architecture Overview

 

Examine the following solution architecture and key steps for integrating these platforms to provide a seamless experience:

  1. Prerequisites and setup: Set up the following accounts:
  2. Data extraction: Retrieve financial data from Oracle Fusion Cloud Financials using REST APIs.
  3. Data processing: Transform the extracted JSON data into a tabular format and store it in Oracle Database on Google Cloud.
  4. Embedding generation: Use Google Gemini APIs to create embeddings for each data row and store them in the database.
  5. Web interface: Develop a user-friendly interface with Streamlit for user input.
  6. Query processing: Convert user prompts into embeddings and perform similarity searches in the Oracle Database.
  7. Response generation: Use Google Gemini models to process relevant data and generate contextual responses.
  8. Result display: Return the generated responses to the user via the web interface.

This solution harnesses the power of Oracle Cloud Infrastructure (OCI) to host Fusion Cloud Financials, while utilizing Google Cloud for database storage and AI capabilities, creating a seamless multicloud integration. By integrating these systems, developers can experience how Oracle’s extensive suite of tools and APIs simplifies multicloud development. It serves as a vital resource, offering practical insights and proven strategies for building scalable, AI-enhanced financial management applications to tackle a multicloud environment’s complexities.

Get Started Today

Oracle’s AI-powered financial management solution demo showcases Oracle’s multicloud capabilities by integrating Oracle Database@Google Cloud with Oracle Fusion Financials on OCI. This solution demonstrates how developers can utilize AI-driven automation to enhance efficiency, streamline decision-making, and build next-generation financial applications.

Ready to see it in action? Check out this quick demo! For more information, see the following resources: