Artificial intelligence (AI)
The State of AI in Risk Management
Spotlighting collaborative research between Chartis and our research partner Tata Consultancy Services (TCS), the report analyses the adoption of AI tools by risk departments across financial services.
Fixed-Income Technology Solutions, 2019: Market and Vendor Landscape
The landscape for fixed-income solutions is a complex one, shaped by a variety of economic, geographic and cultural factors. This complexity is creating wide differences across different segments of the market - notably bonds, securities and loans - in…
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…
Regulators need a robust taxonomy of tools before tackling AI
Regulating AI is a challenge that must and will be faced. Central to effective regulation will be a robust, accurate taxonomy of the multiplicity of available AI techniques.
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.
Beyond Detection: Driving Automation and Artificial Intelligence into Financial Crime Risk Management
This report examines AI and automation within the context of an FIU. It explores how these technologies can help in AML and trade surveillance, and offers practical advice on overcoming organizational and regulatory obstacles to their deployment.
Model Validation Solutions, 2019
In analyzing model validation solutions and technology, the main themes are diversity, specificity and maturity.
