The asset manager has adopted materiality tools, industry handbooks, and NLP techniques to help navigate ESG data limitations.
The two banks outline their ambitious data governance programs, which make business professionals culpable for their organization's data decisions.
Experts from IBM and Bank of China say they're on the lookout for this emerging threat, as machine learning gains in popularity.
Instead of waiting for data quality to be sufficient to power AI models, those at the cutting edge are building models to bridge the gaps in the data, and apply it to more sophisticated use cases.
The vendor is also incorporating micro frontends, as well as exploring the use of machine learning in the future.
The regulatory business is developing enhanced analytics to improve reporting accuracy and identify signs of market manipulation.
Slashing budgets will lead to inaccuracies as banks turn to alt data for fraud detection and to monitor customer behavior during the coronavirus crisis.
Experts advise using machine learning to solve data quality challenges before applying it to alpha-generating strategies.
The financial industry is losing faith in the LEI initiative as regulatory mandates remain patchy, but some see hope in SFTR’s unique-issuer LEI. By Mariella Reason
WatersTechnology looks at more than 20 cloud-based projects and initiatives to see how banks, asset managers and vendors are embracing public providers, and the inherent problems involved.
Sibos 2019 was a significant event for SmartStream Technologies, marking the official launch of SmartStream Air, the firm’s cloud-native, AI-enabled reconciliations platform that is set to shake up the reconciliations industry. Victor Anderson caught up…
Many in financial services are trialing artificial intelligence (AI) applications, with projects increasingly sophisticated in methodology and ambition. WatersTechnology, in partnership with SmartStream, recently convened a Chatham House-style discussion…
Waters Europe: Data requirements are driving better data for consumption across the bank.
The CDO highlights the importance of implementing a strong governance framework that's consistent across the organization.
Alternative data holds great promise as a leading indicator of alpha. But in response to firms struggling with the data science aspects of integrating the data, various industry participants are pursuing new initiatives to make it more accessible,…
The combination of the two technologies is bearing fruit for firms struggling with legacy architectures, but education and talent remain tough obstacles to overcome.
As asset managers seek to incorporate ESG factors into their portfolios, they are facing challenges—particularly around data consistency. Some say custodians could offer solutions.
Firms are pushing their university programs past the traditional internship structure, embedding students and researchers to work on current use cases to deliver solutions to real-life problems. Jamie Hyman reports.
For the final issue of Inside Data Management, Max Bowie summarizes some of the key changes of the past 15 years in market and reference data management.
In February, UK and EU regulators made announcements expected to shed light on the future of data sharing and alleviate some uncertainty post-Brexit, but industry experts say the latest statements fall short of lifting the real burden on affected firms.
As alternative data companies battle for capital and a coveted spot in investment managers’ portfolio strategies, they are turning to bespoke marketing and partnerships to stand out in an industry where firms still struggle with data science resources.
Outsourcing reporting could create technological dependencies that could add to firms’ problems in the future.