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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?
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Datalyst 2025 showcases North East innovation