GRC and Operational Risk
Breaking the glass box: achieving ‘explainability’ that actually explains
Tied to the growing popularity of machine learning (ML) tools is the need to explain their underlying rationale. But buzzwords, like ‘glass box’, are steering the explainability conversation off course. Meanwhile, without proper investment in the tech…
Cyber Risk Quantification Solutions: Market and Vendor Landscape 2019
As the frequency and severity of cyber breaches continue to grow, cyber crime is now one of the biggest challenges facing financial institutions (FIs). Adding to their problems, FIs must also address the growing risk of technology outages – established…
Artificial Intelligence in Financial Services, 2019: Market and Vendor Landscape
AI is an increasingly important feature of today’s RiskTech marketplace. Chartis has addressed the AI opportunity in various reports and events over the last 18 months, and in this new report we provide a spotlight on the market and vendor landscape for…
Artificial Intelligence in Financial Services, 2019: Demand-side Analysis
Analyzing the use of AI in financial services reveals a fascinating combination of old and new. AI is often considered ‘new’, but Chartis’ view is that it is one of several statistical tools that have been with us for some time.
Model Validation Solutions, 2019
In analyzing model validation solutions and technology, the main themes are diversity, specificity and maturity.
