?? Large Language Models for API Calls with Kyriba ??
Corporate Treasury 101
The Corporate Treasury 101 podcast breaks down Corporate Treasury concepts, for everybody’s understanding.
Read time: 4 minutes
Hello,,
?? Welcome (back) to The AI Treasury Insight Newsletter! ???
In this week's?edition, we discuss the usage of LLM (Large Language Models) in calling APIs and the research conducted by Kyriba on that matter.?
Let's break down their solution and see how the research around AI in Treasury will transform Treasury Departments.? Please note that this article is not sponsored, we just found their solution interesting and worth talking about!???
???What does "Calling an API" mean????
Before we get into the nitty gritty, let's make sure we properly understand all the terms at hand here. Starting with an "API call" and breaking down what an API is
???Demystifying APIs???
API in Simple Terms?????
API in Corporate Treasury???
In a Corporate Treasury context, APIs can be used to:
Making the connection with something you might have heard of in Treasury: the type of connectivity you set-up with your bank.?
If the connection is a bit streamlined (meaning you don't go on your bank's portal), there are high chances that you are connected to your bank(s) either via the SWIFT Network, or via H2H (Host-To-Host).?
API is another (serious) option to consider when seting up your bank connectivity as it can real time data.??
Essentially, APIs allow Corporate Treasury departments to automate tasks, ensure data accuracy, and integrate various systems to operate more efficiently.
???What is an "API Call"?????
API Call in Simple Terms???
Using the restaurant analogy from before, an "API call" is like placing an order from the menu.
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When you tell the waiter (API) you want a specific dish (data or function), you're making a "call" to the kitchen (system) to prepare that dish for you.?
The waiter then brings back the dish (the result) to you.
API Call in a Treasury Application???
Imagine a treasury management system (TMS) that a company uses to manage its bank accounts. The TMS needs to know the current balance of a particular bank account at the start of each day.
In this scenario, the "API call" made by the TMS allows it to automatically fetch the account balance without someone manually logging into the bank's portal and checking. This automation ensures that the data in the TMS is up-to-date and accurate, making treasury operations more efficient.
?? Keep reading to understand how LLM can enable smooth, AI drive API calls??
???Kyriba's Deep Dive into LLM for Treasury Management???
Now the "issue" with API is that, it still requires a bit of knowledge around what parameter to enter in order to get the right data from my "Calls". Also, how to make an API call in the first place??
Retrieve your balances for the last quarter???
Kyriba's LLM solution
?What to see what it looks like? Click here to read watch the video!
Thank you Basile Etienne for the very insightful video ;)
If you want to dive deeper into Treasury-related topics or have specific areas you'd like us to cover in future editions, we encourage you to visit our website.
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