FICO announced the release of two foundation models. FICO Focused Language mainly deals with conversations and the language aspect of finance to determine fraud and process documentation for loans. On the other hand, FICO Focused Sequence works best for transaction analytics. Trust Score is a key component of what makes the two FICO models effective for heavily regulated industries, such as finance. The Trust Score serves as a guardrail that indicates how closely a response aligns with its training data. The Trust Score also takes into account context found in the data. So if the model is used to read through documentation about European financial instruments, the Trust Score can see if the response is relevant. A response with a high score indicates that it is accurate in terms of its data coverage and is not misleading. Responses with low scores may prompt the bank to review its data or refine how the model responds. FICO FLM works best on understanding the language used in transactions. It has two general use cases. The first is for compliance and communications. It understands the rules governing how financial institutions can and should provide information to customers and extract information from conversations. What is special about FLM is that since it monitors the back and forth between a bank and a person, it can detect if the customer is undergoing some financial hardship. The bank can tailor its approach to providing information to them, taking into account their economic position. The second use of FLM involves underwriting, which is the act of offering a loan or capital to an individual or a business. The model can take into account the person’s interactions with the bank and review loan documentation. FICO FSM deals with transaction data. “The architecture is different; it has something called a contrastive head and a supervised head,” Scott Zoldi, chief analytics officer at FICO said. “The contrastive head says, is this transaction in or out of pattern, while the supervised head says, is this change in behavior fraud or not. The supervised task knows the probability of fraud, the fact that she has hardship, and we have to intervene.”