Three fixed-income experts look back on the bond market’s liquidity crisis spurred by the pandemic’s early days, and ponder where regulation and data-quality efforts might next lead the space.
FactSet’s mapping service, Concordance, can be used on its own or with Snowflake’s cloud, enabling users to apply the offering to other datasets in Snowflake’s ecosystem.
The firm is working with different machine-learning methods for portfolio construction, and expects its AI system to go live early next year.
The company aims to show that pairing good quality data with knowledge graphs can lead to links that previously would have been missed.
Sell-side firms and data providers are increasingly experimenting with natural-language generation to create new forms of automatically curated reports, emails and alerts, but the technique comes with significant challenges.
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.