Machine learning
Google Deal Propels Crux Informatics into Alt Data Utility Space
Combined offering from Crux and Google Cloud can slash data onboarding times, says vendor
Acadian: Beware Quant Snake Oil
The quant firm’s Seth Weingram lays out his principles for the effective use of machine learning.
Morgan Stanley Explores Using AI to Better Trade Equities
The bank is also looking at using AI for intelligent IOI suggestions based on clients’ trading profiles.
Liquidnet Expands Analytics Portfolio with Prattle Buy
Liquidnet plans to use Prattle's natural-language processing and machine learning capabilities to boost its analytics offerings.
Refinitiv Partners with Trulioo to Expand KYC Offering
Refinitiv's risk intelligence solutions utilize Trulioo's verification system and data hub to help institutions more efficiently meet KYC requirements.
Asset Managers Chase Signals in ESG Noise
Machine learning can tell stories from large datasets to drive alpha, say quants.
JP Morgan Turns to Machine Learning for Options Hedging
These new models sidestep Black-Scholes and could slash hedging costs for some derivatives by up to 80%.
Trade Finance as an Asset Class: Rough Seas Ahead
As global banks seek to promote trade finance as an investable asset class to the buy side, the sector’s lack of technology and data infrastructure have come to light.
Heating Up: An In-Depth Look at How Investment Firms Use Carbon Data
As ESG data becomes more of a commodity, firms are struggling with how best to incorporate carbon data.
Brown Brothers Harriman Experiments with Machine Learning
The firm is developing machine learning models internally to optimize the reconciliation process and detect price anomalies.
BNY Mellon to Use AI for Faster Document Queries
The bank plans to expand a program that uses machine learning to pull out key terms for contracts.
Fund Houses Get Picky Over Where to Use Machine Learning
Buy-siders have limited their usage of deep learning techniques due to haziness over their inner workings.
Not Random, and Not a Forest: Black-Box ML Turns White
Bayesian analysis can replace random forest with a single, powerful tree, writes UBS’s Giuseppe Nuti.
DTCC Chief Predicts Substantial Change to Market Infrastructures Within a Decade
Michael Bodson predicts technology will fundamentally change how the markets work.
NYSE President Sees Tech as Key to Big Board's Next Evolution
A look at the massive tech projects (and legal battles) underway at the NYSE, which are being led by Stacey Cunningham.
Tech Execs Warn on AI Window Dressing
A substantial amount of vendors are making misleading claims about AI capabilities, experts say.
Geopolitical Risk Data Moves from Foreign Intelligence to Fund Management
As nations and markets become increasingly interconnected, geopolitical risk has become top of mind for portfolio managers.
Goldman Sachs Exec: Markets Still Too Complex for AI Trading
Humans, and not robots, will still be required for the foreseeable future, say trading vets.
Buy-Side Firms Turn to AI for Efficiency Amid Barriers to Adoption
Assuming that automated artificial intelligence holds the key to unlocking fragmented datasets, the absence of standardized models coupled with regulatory concerns remain barriers to adoption.
Banks and Bourses Increasingly Combine Cloud, AI for Data Projects
The combination of the two technologies is bearing fruit for firms struggling with legacy architectures, but education and talent remain tough obstacles to overcome.
Banks Brace for ‘World’s Largest Corporate Action’ as Libor Switch Looms
The transition away from Libor is a mammoth task for the banking sector—one that the industry is increasingly finding itself woefully unprepared for. By Hamad Ali
Google Plans Foray into Asset Management with AI Data Tools
The technology giant is rolling out tools to asset managers who need to use machine learning but have limited in-house experience.
