Due to all the fines and scandals in 2018, I am convinced that AI will play a more important role in financial crime compliance.[Read More]
Debt restructures are challenging in markets with increasing interest rates, as many organisations impose policy restrictions that virtually prevent reasonable restructures. [Read More]
Neural networks are a powerful form of machine learning, but their black box nature often defies explainability. We have found a solution to this problem.[Read More]
Due to all the fines and scandals in 2018, I am convinced that AI will play a more important role in financial crime compliance.
Debt restructures are challenging in markets with increasing interest rates, as many organisations impose policy restrictions that virtually prevent reasonable restructures.
Neural networks are a powerful form of machine learning, but their black box nature often defies explainability. We have found a solution to this problem.
How are regulations changing approaches to collections and recovery? Those discussions drove the most-viewed posts on the FICO Blog last year in the Collections & Recovery category. Here are the top five posts from 2018.
“He who defends everything defends nothing” That quote, attributed to the 18th century King of Prussia Frederick the Great, refers to military strategy, but it could just as easily be used to describe the dilemma faced by financial services executives as they modernize their loan origination processes. In the first post of my multi-part series on how banks are solving common challenges in acquiring and retaining new customers, I looked at the challenges and opportunities financial institutions need to address in improving marketing performance. In this write-up, I want to focus on similarly practical solutions to common challenges in the origination process as it is a convergence point for a lot of different objectives necessary to deliver growth—provide a compelling customer experience, minimize credit losses, prevent fraud, maximize revenue, and comply with regulations. Fully addressing all of those objectives (or defending all of those fronts) is an impossible task. Move... [Read More]
As advanced analytics permeated nearly every industry in 2018, FICO’s thought leaders continued to push it into new areas. Here were the top 5 posts in the Analytics & Optimization category last year.
What are the most read blogs in Risk & Compliance in 2018? This blog looks at the top 5 posts last year; unsurprisingly, topics around FICO Scores were of great interest.
The tremendous interest in AI and machine learning drove the readership on the Fraud & Security blog in 2018. Here are the five posts with the most views.
U.S. Government Predictions 2019: Now that we have completed the 2018 election season, people are asking what is in store for 2019. The good news is that revenues look strong, but there are a number of factors if you look deeper into the numbers. Also, while often the first year of a legislative session occurs before our political leaders are thinking about re-elections, election cycles have apparently gotten longer, because for many American politicians, the 2020 election season has already begun. Tight Budgets Despite Increases In Overall Spending While the National Association of State Budget Officers has reported a healthy 4.3% increase in general fund spending, most of that new money is going to three places: Medicaid, K-12 education, and pension obligations. This will likely squeeze out revenue increases in virtually all other areas. Government will carefully scrutinize any new spending, and will be looking for proverbial “singles”, rather than “home... [Read More]
Regarding fraud analytics for open banking, where historical data is not yet available and the evolution of open banking in terms of adoption is still unclear, unsupervised machine learning can be a strong weapon for fighting financial crime events.