Abstract
The Abu Dhabi Open Data Intelligence project aimed to utilize Falcon, a large language model (LLM) developed by the Technical Innovation Institute in Abu Dhabi, to enhance analytics capabilities for Abu Dhabi's open data. The initiative sought to empower data-driven decision-making through the development of a voice/text engine. The project incorporated ethical AI practices, iterative development methodologies, and knowledge-sharing principles, resulting in a user-friendly interface using Streamlit or Gradio. This tool enabled intuitive interaction with the engine, allowing users to derive advanced insights from open data.
Published in
Omdena Community Project
Start Date: September 4, 2023
Project Status: Completed
Learn more about the project here
Challenge Background
The Abu Dhabi Open Data Intelligence initiative was designed to harness the potential of open data and advanced AI technologies. By leveraging Falcon LLM, the project focused on creating an intelligent voice/text engine to deliver advanced analytics capabilities. Ethical considerations and responsible AI practices were integral to the development process.
The Problem
The project addressed the challenge of extracting actionable insights from Abu Dhabi's extensive open data resources. The team aimed to build a robust solution that would:
- Enhance data exploration and analytics using Falcon LLM.
- Provide a seamless user experience via an interactive voice/text engine.
- Adhere to ethical AI standards and prioritize responsible AI practices.
Project Goals
- Collaborative Development: Foster an inclusive environment with weekly meetings to discuss progress, challenges, and ideas.
- Falcon LLM Integration: Leverage Falcon to create an innovative voice/text engine tailored for Abu Dhabi's open data.
- Ethical AI: Ensure ethical considerations are embedded throughout the development lifecycle.
- Iterative Approach: Continuously refine the solution based on user feedback and experimental outcomes.
- Interactive Interface: Develop a user-friendly application using platforms like Streamlit or Gradio to facilitate ease of use.
Key Outcomes
- Innovative Voice/Text Engine: Built using Falcon LLM, enabling advanced data exploration and insights.
- User-Centric Design: Delivered a responsive interface with a focus on accessibility and usability.
- Knowledge Sharing: Regular updates, blogs, and a final presentation highlighted the collaborative achievements and ensured transparency.
As the Research Lead for this project, I coordinated research efforts, facilitated knowledge exchange, and guided the ethical implementation of AI technologies. The project showcased the potential of combining cutting-edge LLMs with open data for transformative analytics.