Brown Brothers Harriman
Snowflake Makes its Move (And Ref Data Headaches & Data-Sourcing-as-a-Service)
Anthony explores how Snowflake is trying to win over business in the cap markets, talks about the reference data space, and examines a new breed of data vendors.
This Week: BNY Mellon, ASX, DTCC, SteelEye/UnaVista & More
A summary of some of the past week’s financial technology news.
AI Can Drive Reconciliations Efficiency In Period of Increased Volume
As the coronavirus drives trading volumes, post-trade processing is increasingly an area of operational risk, and firms should consider automation, analyst says.
Brown Brothers Harriman Re-Imagines AI Ecosystem After March Market Madness
Unprecedented volatility in March is leading the bank to double down on its AI systems in a big way.
Covid-19 Piles Pressure on Fund Accounting
Fund administrators are dealing with unprecedented volumes of pricing information and exceptions.
Brown Brothers Harriman To 'Transform' Its Fund Accounting Service by 2021
The bank is in the throes of a hefty transformation project within its Investor Services division, which began with machine-learning efforts last year.
Machine Learning Takes Hold in the Capital Markets: Some Examples
WatersTechnology looks at 16 projects in the capital markets that involve machine learning to show where the industry is heading.
Brown Brothers Harriman Automates NAV Reviews with Machine Learning
The bank is looking to automation in the middle and back offices as it seeks to exploit emerging technologies.
Brown Brothers Harriman's Welch Explains Bank's Use of Artificial Intelligence
The bank has a number of projects using emerging technologies, one of which optimizes the process of detecting price anomalies.
Brown Brothers Harriman Experiments with Machine Learning
The firm is developing machine learning models internally to optimize the reconciliation process and detect price anomalies.
Due Diligence Body IDDO Adds Silitschanu to Board
The former analyst and capital markets advisor will help steer the standards organization's vision and growth.
Leading Swap Dealers Join DTCC-Euroclear Margin Transit Utility
DTCC can now focus on expanding coverage of the MTU with the addition of leading dealers.
Ex-Research Analyst Silitschanu Joins Token IQ
The former analyst will be responsible for relationships with all parties involved in securities tokenization, from regulators to promoters.
Experts Warn on Data Quality for AI Projects
Speakers at the Buy-Side Technology North American Summit said a single source of quality data is where AI projects should start.
SEB Goes Live with DTCC's Alert Regional Custodian Workflow
The Swedish bank will use US firm's network as a white-labelled service.
Technology Holds the Key for SFTR
EC likeliness to finalize standards in the coming weeks refocuses the spotlight on SFTR and what technology is available to help firms comply.
Brown Brothers Harriman Releases Secondary-NAV Tool for Administrator Oversight
The firm has bolstered its middle-office outsourcing tools with the release of InfoNAV and aims to include AI features in the future.
Lind to Lead Data Services at DTCC
The Depository Trust & Clearing Corp. appoints industry veteran Tim Lind to manage data services, following the departure of Ron Jordan in December 2017.
The Great Fintech Con(version)
The fintech "revolution" of the past few years is looking less like it will displace traditional finance, and more like it will join it.
Sibos 2017: Disrupting the Disruptors
The key themes from this year's industry mega-event.
Six Firms Team up with IHS Markit for SFTR Reporting Solution
IHS Markit partners six securities finance market firms as part of an ongoing effort with Pirum Systems to build a Securities Financing Transaction Regulation reporting solution.
Two Japanese Trust Banks Tap DTCC’s Omgeo for Post-Trade Solution
DTCC’s SSI utility helps firms to reduce risk and operational costs associated with trade failures.
To Take Advantage of AI, a Multi-Faceted Approach is Necessary
Firms looking to capitalize on new cognitive technologies will have to learn how to combine AI, machine learning, RPA, NLP and various other tools to fully take advantage of this revolution.