Corporate Treasury 101 podcast

Episode 273: FP&A and Treasury, powered by AI with Sloane Kolt from Datarails

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In this episode of Corporate Treasury 101, we dive into the impact of AI in Treasury and FP&A (Financial Planning & Analysis) with Sloane Kolt from DataRails. AI and machine learning are rapidly transforming how treasury professionals manage cash flow, risk, and financial strategy. But how much of it is hype, and what are the real applications for treasurers today?

Sloane Kolt, a finance expert with over a decade in corporate finance, is the Head of the Materials Lab at DataRails, an AI-powered FP&A platform. She shares how AI is shaping the future of financial planning, forecasting, and decision-making, including generative AI use cases, predictive analytics, and the intersection between Treasury & FP&A.

Expect to Learn

  • How AI is transforming cash flow forecasting and financial modeling
  • The biggest risks and limitations of AI in Treasury
  • Generative AI vs. Machine Learning – What treasurers need to know
  • How Treasury and FP&A can collaborate using AI-driven insights
  • AI’s role in risk management, cash positioning, and strategic decision-making

Episode Breakdown with Timestamps

 [00:00:00] - Introduction & Why AI in Treasury Matters

[00:02:36] - AI 101: What it is & How It Works in Finance

[00:06:14] - Generative AI vs. Machine Learning in Treasury

[00:09:17] - AI in Treasury Today: Practical Use Cases

[00:16:51] - AI for Cash Flow Forecasting: Pros & Cons

[00:19:30] - The Risks & Limitations of AI in Treasury

[00:29:45] - AI & The Future of Treasury & FP&A Collaboration

[00:38:07] - AI for Treasury Policies & Compliance Automation

[00:48:02] - The Future of AI in Treasury: What’s Next

[00:54:17] - How to Get Started with AI in Treasury Today

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