Industry experts at Datalyst 2025 present AI-driven analytics platforms such as in-house ChatGPT and Hawkeye to streamline policy research, enhance forecasting accuracy, and promote ethical governance frameworks across finance functions in the public and private sectors.
Key points
- Secure in-house LLM integration uses ChatGPT framework to centralize policy document analysis, reducing research time by up to 80%.
- Hawkeye platform aggregates multisource datasets for real-time financial forecasting, improving budget accuracy metrics by 15%.
- Interactive workshops demonstrate compliance workflows for AI ethics frameworks, ensuring rigorous oversight across data-driven decision processes.
Why it matters: By integrating AI-driven analytics into government finance, organisations can achieve unprecedented efficiency and transparency, setting new standards for data-informed policy decisions.
Q&A
- What is in-house ChatGPT?
- How does the Hawkeye tool work?
- Why is ethical oversight vital for AI in finance?