Machine learning
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux
Fidelity’s quantum exploration unites theory and proof
The asset manager and Amazon have teamed to put a quantum twist on machine learning.
Derivatives pricing with AI: Faster, better, cheaper
Pascal Tremoureux, head of quantitative research at Murex, describes the firm’s mission to replicate derivatives pricing models through machine learning—slashing time and costs in the process
GenAI could connect ‘constellation’ of vital information technologies
At WFIC, Six Group’s Marion Leslie highlighted the opportunities and risks that the technology holds.
Chevron’s absence leaves questions for elusive AI regulation in US
The US Supreme Court’s decision to overturn the Chevron deference presents unique considerations for potential AI rules.
Reading the bones: Citi, BNY, Morgan Stanley invest in AI, alt data, & private markets
Investment arms at large US banks are taken with emerging technologies such as generative AI, alternative and unstructured data, and private markets as they look to partner with, acquire, and invest in leading startups.
IBM report finds ‘shadow’ data significant contributor to data breaches
As AI and cloud take on greater importance in the capital markets, firms need to consider their threat impact zones.
Standard Chartered keeps faith with quantum experimentation
The bank is aiming to future-proof itself with the ability to adopt new technology at an early stage.
UK asset manager: AI in macro trading ‘very overblown’; useful for nowcasting
The managing partner of Fulcrum Asset Management said that the firm has been developing nowcasting tools that even central banks have consulted on.
The coming AI revolution in QIS
The first machine learning-based equity indexes launched in 2019. They are finally gaining traction with investors.
Banks, vendors mine AI for corporate FX hedging
New machine learning algos can help corporate clients adjust hedging ratios, but tech’s effectiveness is limited by data quality, experts caution
GoldenSource joins Snowflake’s native app ecosystem with Omni
The enterprise data management platform is teaming up with the data cloud provider to streamline data integration for the buy side, adding to its expanding library of native applications.
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.
All eyes turn to North America as T+1 arrives
As T+1 settlement becomes a reality in North America, long-lingering questions will get their answers.
Firms worry that lack of ‘explainability’ will be regulatory roadblock for AI
Industry experts share their concerns about advanced AI’s ‘black-box’ nature and how that may attract fragmented regulatory scrutiny.
The capital markets’ appetite for AI is evolving ... slowly
Nyela checks the vibe of generative AI, which is slowly evolving from frenetic conversations to tangible tools and use cases.
Waters Wrap: Quants, CDOs, and the blending of job titles
Anthony explains how a quant at a massive bank taking on the CDO title hints at larger industry changes.
Caveat creator: GenAI giants’ pledges won’t pre-empt copyright suits
Tech vendors offer indemnities on generative output, but end-users need to check the fine print, warn IP lawyers
