This whitepaper looks at how AI-driven observational learning techniques can improve accuracy and efficiency in your data reconciliations. No longer will AI need to be programmed to manage specific tasks on large, complex datasets – this ground-breaking technology observes, learns and improves on…
This research report sheds greater light on current and future outsourcing trends that are likely to shape the capital markets including why cost reduction and efficiencies aren’t the only reasons for outsourcing and how cloud will become integral to managed services business model
Banks are facing increased challenges, clearing identifying the need for digital transformation.
This case study reveals how Mirabaud Asset Management is using IHS Markit’s Enterprise Data Management (EDM) platform to establish a strong foundation for the its long-term SRI-ESG (socially-responsible / environmental, social and governance investing) strategy. This includes empowering Mirabaud’s…
This report provides a guide to figuring out what is at stake with Libor and other interbank offered rates (Ibors). It addresses the challenges and risks, the development of alternative data or reference rates, and begins the process of replacing Libor well ahead of the expected end-2021 deadline.
This research paper examines the results of a recent survey conducted by WatersTechnology in association with SmartStream. It charts the progress of SmartStream AIR, from its inception to its launch, and focuses on the new ground it breaks in what is historically a complex, expensive and invariably…
In our 2020 risk management guide, we provide our expert view on the market outlook and outline how you can solve your risk challenges with Risk as a Service – the easy way to manage risk across the enterprise, from complex risk calculations, modeling, analytics, managing risk data and reporting.
Model Risk Management for a Trading Firm’s Calculations - A Data Centric View of Model Risk Management
This white paper appraises four pieces of regulation that directly address the management of risk within models. It further gives an overview of the importance of data lineage in a modeling ecosystem and provides background to some key data lineage concepts.
This white paper aims to help you make data-driven decisions with actionable insights to deliver the best possible customer experience. It further provides 4 tips for better engaging your customers.
The Future of Risk Modelling: Taking the risk out of next-generation risk modeling − from data to decision
This white paper explores the complexities and risks inherent in pervasive adoption of risk modelling.