Data model
Industry not sold on FIGI mandate for US reg reporting
Banks’ and asset managers’ tortured relationship with Cusip numbers remains tortured, as they tell regulators to keep the taxonomy in play.
US banks seek to open vendors’ black box on green data
Inaugural Fed climate scenario analysis flags lack of transparency around third-party models.
Heavy lifting: Why using AI for data extraction is still no easy task
Using AI to extract data from documents and filings should be a no-brainer. But it takes a lot of brains and money to get those processes set up and running reliably and accurately.
Former Goldman analyst aims to blend GenAI and synthetic data with start-up
Synthera.ai is taking a novel approach to calculating risk. While promising, industry observers are skeptical.
Bloomberg, Snowflake ally to accelerate cloud data adoption
Bloomberg has built an app in Snowflake’s cloud framework that will make it simpler and faster for Snowflake clients to populate their cloud-hosted tools with Bloomberg data.
Waters Wrap: Goldman Sachs and the facts and fiction of being data driven
Neema Raphael, CDO and head of data engineering for Goldman Sachs, explains what he believes it means for a firm to be data driven.
Waters Wrap: For data managers, the new problems are the same as the old
While much attention has been given to cloud, AI, blockchain and other buzzwords, without a proper data foundation, those tools will not deliver the results that have been promised.
Bloomberg integrates with Insightful Technology to cover ‘explosion’ of communication channels
Insightful monitors in the range of 120 different communication channels and 40 different datasets, which will be integrated into Bloomberg Vault, among other BBG compliance systems.
Beyond the 'big red blob': UBS sees future in data mesh for analytics
The Swiss bank has started a journey to implementing mesh data architecture, a new concept for federated data availability in enterprises aimed at getting value out of analytical data.
Is DLT post-trade a solution without a problem?
Sources question landmark projects' ability to use technology at scale as further delay besets ASX deployment
Natixis: Interop is a buy-side “necessity”
The asset manager is building front-office interoperability based on a canonical data model.
Finos project seeks fully open-source FDC3 implementations
New initiative aims to provide a free, open-source Electron-based reference implementation of the FDC3 standard.
Danske Bank turns to licensing optimization for cost savings in the millions
In a cloud world, IT asset management can save on operational and compliance costs and get the most out of software usage. But it's important to find the right people for the job.
Data-Driven Execution—Looking Back to See Forward
Reviewing favorable outcomes and attempting to replicate them is by no means a new concept across the capital markets. Portfolio managers, execution professionals and risk managers use this principle to drive their decisions, although it is really only…
Waters Wrap: Examining Digital Asset’s DLT strategy (and its broader implications)
Digital Asset has slowly expanded its influence with exchanges in the APAC region, and this year has made additional inroads in the US and Europe. Anthony examines the company's wins and losses over the last seven years.
Broadridge data ontology aims to simplify multi-asset trade data
The tech provider is using the ontology internally to integrate multiple systems and sees prospects for wider industry adoption.
Goldman tackles climate risk controls
Lender joins other banks in translating physical and transition threats into controls framework
Rights automation group to debut digital language for market data policy expression
Community group that includes JP Morgan, Deutsche Bank, Amazon, and the CME plans to showcase over a year’s worth of work in a bid to drive broader adoption of the digital rights language.
JP Morgan fast-tracks market data licensing tools
The bank is developing solutions to help internal teams understand compliant usage and entitlements.
Engineers tap machine learning to improve graph analytics
Augmenting graph analytics with AI can detect more complicated anomalies, vendors say.
The ABCs of NLP: How Trading Firms Used NLP to Navigate 2020
This year, natural language processing came to the fore in capital markets, helping firms of all kinds parse huge, unstructured datasets.