Machine learning
AI on Our Minds: Firms Struggle with How to Incorporate AI
The hype of artificial intelligence is far from fading—actually, it’s more like a building tidal wave. Wei-Shen wonders if the capital markets will catch the wave, or get smothered by the tide.
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.
DBS Bank Grows its Team of Data Translators
The bank is looking to pair this relatively new role with its data scientists as a bridge for business professionals.
FIS Turning to Machine Learning for Private-Equity Solutions
FIS is pushing to add greater automation for its private-equity business in an effort to streamline workflows.
Universal-Investment Explores AI to Develop ESG Services
The administrator is looking at how artificial intelligence can be used to extract online sentiment and create customized alternative data services to attract clients.
Finra to Expand Use of Machine Learning for Market Surveillance
The regulator already uses machine learning to identify spoofing and layering activities.
Machine Learning Shakes Up Classical Financial Risk Modeling
BlackRock, MSCI, and La Française are some of the firms looking to replace traditional, linear risk models.
The AI Ethics Dilemma: Banks Find a Fine Line Between New Tech and 'What's Right'
Finance firms and regulators are beginning to assess the ethical implications of artificial intelligence.
Fighting the Bad Robots: AI Raises Questions About Ethics
Artificially intelligent algorithms are not infallible—as Jo Wright explains, it’s quite the opposite.
Machine Learning as a Tool: What Is Your Problem?
The call of artificial intelligence and machine learning is alluring. However, Wei-Shen says they can be tough to deal with, especially when shooting at invisible targets.
Mizuho Finds New Ways to “Activate” its Data Using AI
The Japanese bank has already automated handwritten form processing and is experimenting with AI to make use of its unstructured data.
Outsourcing Takes to the Front Office
Fee compression and regulations have forced some asset managers to rethink what is core to their business, including the trading desk. Enter the outsourced trading desk.
Bank of England’s Ambitious Look at Regulatory Reporting
As the regulator looks at new ways to handle data, there are still a lot of paths to consider.
The KYC Headache Worsens: An Examination of the Onboarding Process
Despite technological advancements, the onboarding process is still a slog. Banks and vendors are trying to change that.
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.