The annual Credit Scoring and Credit Control Conference is regarded as Europe’s premier showcase for anyone working at the forefront of credit, AI, machine learning, scoring and all the related areas of data science.
This year's four-day programme takes place between August 24 and 27. It's nominally slated as an Edinburgh event. But as with most live public speaking opportunities at the moment, there are no delegates, face-to-face sessions, or any regular workshops. It's all being hosted online.
Despite the pandemic's relentless impact, some of data science’s most experienced practitioners are delivering ‘live’ presentations. They’ll also be supported by thought leaders and technical experts from the world of academia.
For us at FICO, the conference is a chance to test, discuss, shape our innovation and share our ideas, away from the day-to-day challenges of regular work.
We’ve got a host of hot topics and burning issues to cover.
- Adding Open Banking Depth of Insight to Credit Risk Analytics – Scott Zoldi – FICO Chief Analytics Officer.
- Soft Segmentation Archetype Credit Risk Analytics – Scott Zoldi – FICO Chief Analytics Officer.
- The Impact of Machine Learning Models in Regulatory Stress Testing - Frederico Barros Diniz - FICO Lead Analytics Consultant.
- Responsible AI – Scott Zoldi – FICO Chief Analytics Officer.
- Using Borrower Resilience to Inform Strategies Across the Credit Lifecycle and Across the Economic Cycle – David Binder and Gerald Fahner - FICO - Senior Principal Consultants. You can learn more about this topic in this recent post.
- An Optimization Framework for Improving Authorization Decisions on Credit Card Transactions - Billibaldo Martinez Aranda - Senior Manager - FICO.
The pandemic’s impact is also likely to still be front-of-mind for many, particularly given it’s causing widespread concern and economic hardship for consumers, businesses and communities, right across the globe. It’s clearly an ongoing challenge. But on a more positive note, it has also helped accelerate many customer-first digital transformation programmes and directly expanded the use of data and analytics.
Customers expect personalised and convenient services consistently across both offline and online channels. But to be effective, sophisticated customer analytics have to be in place first. Tailoring specific services and solutions directly to individual needs based on a mass of data sources –traditional, alternative and real-time – is a massive job. Especially when other aspects are factored in around their risk, financial resilience, circumstances, needs, preferences and other behaviours. That’s why analytic innovation is so critical.
The applications of artificial intelligence in financial services are now everywhere. They’re not just a quick time-saving win, they now have a direct impact on customer experience and are what will always set businesses apart from the competition.