This episode explores how treasury teams can unlock the full value of their data. Paul Galloway breaks down key challenges like integration and trust, covers tools from TMS platforms to AI and APIs, and discusses forecasting models. Learn how to build a stronger data architecture and use forecasting techniques that improve visibility and decision-making across the organization.
In this episode, we will discuss the reasoning behind Reddit’s IPO and describe the journey. While some of the particulars of Reddit’s IPO activities will be discussed, the emphasis will be on what a treasury team needs to consider and do for a successful IPO. Reddit completed its NYSE IPO in March 2024 with an initial valuation of $6.4B.
Craig Jeffery talks with Damian McIntyre and John Mosko of Federated Hermes about the evolving state of US tariffs, court rulings, and their ripple effects on inflation, the Fed, and investment strategies. They explore how companies are reacting, what it means for rates, and how treasury professionals can navigate duration and asset decisions in this environment.
Craig Jeffery talks with Steven Peterson of Chick-fil-A about their journey from RPA to APIs to agent-based AI. They discuss use cases in bank connectivity, forecasting, and document summarization, as well as the progression from bots to orchestration. How does a lean treasury team innovate at scale? Listen in to hear how curiosity and strategy are driving real transformation.
In this episode, Craig Jeffery talks with Tom Gavaghan about Kyriba’s new Trusted AI, or TAI, and how agent-based AI is evolving in treasury. They explore the differences between machine learning, generative AI, and agentic AI and discuss how tools like TAI are being trained to act like analysts with built-in workflows and controls. How will this reshape treasury operations? Tune in to find out.
In this episode, Craig Jeffery talks with Garry Capers of Deluxe about what really drives successful treasury implementations. They explore the roles of people, process, planning, and change management, going well beyond the technology itself. How can teams ensure smoother go-lives, user adoption, and long-term impact? Listen in for practical insights and leadership-level strategy.