Data Management Insight Data Innovation (Machine Learning, AI & Blockchain) The latest content from across the platform

Embracing Automation and Collaboration Tools to Inject Reference Data into the Trade Lifecycle

Digital transformation in the financial services sector has raised many questions around data, including the cost and volume of reference data required by each financial institution. Firms need flexible access to the reference data required to ensure workflows can proceed without interruption. ‘One-size-fits-all’ bulk data licensing models are increasingly less fit for purpose. Emerging solutions…

Can ‘Observational Learning’ Help Improve Data Quality?

Data quality is a pre-requisite for financial institutions seeking to automate their operations. But given the huge volumes of transaction data, often in a wide array of formats, it is very difficult to achieve. Can newer AI-based techniques such as observational learning actually help or are they just hype? This white paper explores: What observational…

How to leverage the LIBOR transition to improve your data management game

The final goodbye to Libor has been described as the Y2K moment for data managers in financial services – and with the phase-out slated for the end of 2021, firms need to act now to ensure a smooth transition. The replacement of Libor with alternative benchmarks presents an immense challenge for financial institutions, especially given…

Adopting AI for Superior Reconciliations

Firms’ reconciliation and exceptions management processes are manually intensive, expensive and prone to error. With rising compliance costs and greater competition narrowing margins in financial services, firms are looking to streamline their reconciliations processes through automation, giving them the opportunity to reduce the number of exceptions they manage and the time it takes to deal…

Data as the Catalyst for Innovation in Asset and Wealth Management

Fund managers and wealth management firms are being squeezed between downward pressures on sources of revenues and upward pressures on costs. Firms are facing a migration to passive investment funds, with some research suggesting a one-third drop in active management fees by 2023. Meanwhile, the ongoing regulatory onslaught is adding to costs. Under pressure to…

Applying Emerging Technologies to Real-World Business Challenge in Financial Services

Today’s world of technology is evolving at lightning speed for financial services firms. Terms like artificial intelligence (AI), machine learning (ML) and distributed ledger technology (DLT) bandied about, technology conversations seem to be all about hype. The reality is that financial services firms need to understand the impact that these new technologies could have and…