Risk Management
325 white papers and resources
High-Performance Storage for AI and ML
It’s a highly complex question with a deceptively simple answer: How do you win with artificial intelligence, machine learning, and high-performance, computing-based analytics? Speed. Because the only way to stay ahead is to run more models with more complex algorithms faster than your competitors…
Deploy a scalable distributed file system — rapidly, easily and affordably
Eliminate the complexity, cost and delays of configuring a distributed file system from multiple components and manufacturers. Hitachi Content Software for File lets you design and deploy a leading edge file system — now.
Compliance technology: Challenges, opportunities and what firms want
Governance, risk and compliance (GRC) requirements are a necessary evil of the industry and are one of the costs of doing business for all capital markets firms. However, while some firms see GRC functions as a cost center and an unnecessary drain on resources, others view it as an area where they…
Measuring climate risk: what’s possible now
Panelists discussed how firms deal with the immense pressure with regards to modelling their exposure to climate risk and how organisations are viewing climate risk going forward.
Leveraging technology for faster, better investment decisions
Panellists discussed the current challenges facing buy-side firms when it comes to optimizing their investment decision-making through advanced data analytics tools and leveraging their research resources.
Data Analytics Tools - Transparency and Granularity Where They Are Needed Most
This whitepaper focuses on the following themes: The state of play across the financial services industry regarding firms’ use of data analytics tools. The challenges firms face with regard to developing their own proprietary data analytics tools. Firms’ data consumption preferences, including…
Making the business case for systematizing FX optimization
Why optimization with respect to FX trading is such a complex undertaking that invariably requires purpose-developed technology in order to manage it efficiently and transparently.
The Buy Side’s Technology Dilemma: Legacy Platforms, Poor Data Quality and Duplicate Systems Proliferate
This report, based on a WatersTechnology survey commissioned by Finbourne, focuses on the global asset management industry and analyses firms’ options when looking to enhance or replace their investment management technology. It also sheds light on the importance of data quality and how it impacts…
Corporate Actions Processing—Data Quality and Automation Are Key
Which corporate actions use-cases will grow in importance in the next 1-3 years? Discover in this whitepaper:
AI and Observational Learning: Resetting the Rules of Data Reconciliation
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…