#197 – Simplify Your Workflow with Embedded Treasury

#197 – Simplify Your Workflow with Embedded Treasury

Embedded banking and embedded finance are newly established terms. Technologists tend to understand the meaning in a detailed manner, while treasury professionals’ levels of understanding vary significantly. In this episode, Nicki Gillispie and Craig Jeffery discuss what embedded treasury is and how it easily links systems or services to further streamline their experience.

#196 – Understanding Cyber Attacks and Strengthening Defenses: A Series on Cyber Security (TD Bank)

#196 – Understanding Cyber Attacks and Strengthening Defenses: A Series on Cyber Security (TD Bank)

In this episode, host Craig Jeffery sits down with Jo K Jagadish of TD Bank to kick off this new series of conversations. This series will cover topics such as MITM, ransomware, and spoofing attacks and will review specific defenses and the mindset required to maintain commercially reasonable controls and leading practices and to maintain the human firewall.

59: What Is FedNow?

59: What Is FedNow?

What is FedNow? Coffee Break Session Host Alexa Cook catches up with Strategic Treasurer’s Managing Partner, Craig Jeffery, to discuss FedNow. Their conversation covers what FedNow is and how it is impacting both treasury departments and companies. Listen in and learn a little bit about FedNow.

Webinar: Powering Efficient, Effective Forecasting Through ML and APIs

Webinar: Powering Efficient, Effective Forecasting Through ML and APIs

As a task that is both vital and challenging for treasury, cash forecasting is an area where leveraging effective tools can make a massive difference. Forecasting using spreadsheets consumes more time than most treasury departments can afford, and human errors and inaccuracy can often still plague the final results. This webinar will discuss how machine learning (ML) and application programming interfaces (APIs) can power more efficient and effective forecasting. Details covered will include pattern detection and analysis through ML, APIs and aggregation, and automation and updating, as well as discussing technological expansions into scenario planning and auto-tagging.