In a previous blog post, we discussed how generative AI (GenAI) is experiencing unprecedented popularity, with organizations across various industries eager to unlock its immense potential. We also highlighted potential use cases organizations must identify to unlock GenAI's full potential with credit customer journeys. These can include using chatbots for
Author
Generative AI (GenAI) is in its most popular era and many organisations across industry are looking for ways to unlock its potential value. McKinsey's projections suggest that GenAI could add a staggering $2.6 to $4.4 trillion in value to the global economy. In fact, banking is the number one industry
In today’s world of financial services, a well-crafted decisioning system is paramount, whether you're dealing with credit risk, fraud prevention, financial compliance, or any other critical aspect. Occasionally, financial services organizations decide whether to buy a risk decisioning system or build one using in-house resources. This quandary demands careful consideration
GARP and SAS partnered for a survey in 2018 to understand the use of AI & ML models in risk management. Since then, we've seen an increasing demand in the market to credit risk transformation projects (CRTs). Because of that, the survey was expanded in 2022 and has been extended to
It’s a challenging time to be a risk manager. The world is facing a global climate crisis, enduring the worst economic downturn since the great depression, war and a recovery period from a global pandemic. In addition to these challenges, changes in customer behaviour and expectations give financial services no
High unemployment rates of the post-pandemic era in many recovering regions and increasing inflation rates are signaling an economic recession. With the pressure of increasing energy prices on consumer cash flow and households in many advanced economies facing a cost of living crisis, collections managers know it’s time to transform