Bob Stark

Jul 10, 2024 | medium.com | Bob Stark

As I discussed previously, AI at its core is data processing: machine learning maps user data inputs to labels. Then, many AI systems are automated, meaning that they take actions from the label outputs of machine learning, meaning there is post-processing from label results.¹ The easiest is choosing result(s) with greater than some amount of statistical confidence, but most systems do much more than that.

May 10, 2024 | treasury-management.com | Bob Stark

If there is any certainty, it is uncertainty. And uncertainty is seemingly the theme for 2024 thus far. With the sad collapse of the Francis Scott Key Bridge in Baltimore Harbour on March 26, supply chain disruptions are once again in the news alongside continued discussion as to whether inflation is under control and if there will be interest rate cuts later this year.

Mar 28, 2024 | treasuryandrisk.com | Meg Waters |Bob Stark

*May exclude premium contentAlready have an account? Sign In By T&R Staff | January 25, 2024 Here's what lies ahead for corporate treasurers over the course of the year—and what they should be doing now to prepare. By Meg Waters | June 28, 2023 Treasury and finance teams developed a new, automated platform that provides actionable liquidity insights to corporate leadership.

Jun 21, 2023 | treasuryandrisk.com | Bob Stark

One of the most important lessons learned from the recent debt-ceiling standoff is that the U.S. government is capable of having cash flow problems. Obviously, U.S. Treasury Secretary Janet Yellen faced a very different situation than the typical corporate treasurer trying to overcome a temporary cash crunch. Still, the threat of running out of cash struck a nerve with many treasurers.

May 24, 2023 | treasuryandrisk.com | Bob Stark

A treasury management system (TMS) enables treasurers to improve productivity, visibility and controls across the entire treasury operation. However, in order to deliver promised value, treasury technology must be well implemented. If a TMS is implemented poorly it not only means an inefficient use of the organization’s resources it also likely means that the system will not provide the desired benefits. The following best practices can help ensure the project is a complete success.