Machine learning
Machine Learning in the Capital Markets 2020: ML Spreads During Pandemic
WatersTechnology looks at how 10 different firms are embedding machine learning algorithms into their platforms and tools.
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.
Arabesque AI to Launch New Prediction Engine Using Machine Learning
The firm is working with different machine-learning methods for portfolio construction, and expects its AI system to go live early next year.
Waters Wrap: SS&C Advent & Refinitiv Refine Cloud Plans (And Some Fixed Income Bits)
Anthony looks at how two major tech companies in the capital markets space are evolving their cloud strategies and what they might mean for the industry at large.
Machine Learning will Create New Sales Bots on Trading Desks
Technologists are working to automate indications of interest from trading desks, according to UBS’s head of machine learning.
At the ‘Fringes of Realism’: Agent-Based Models Take Hold Among Quants
Agent-based modeling has taken root seemingly everywhere throughout the last decade, from theoretical physics, to military operations, to public health, to ride-sharing apps like Uber, and to a much lesser extent, finance. However, a year such as 2020…
Waters Wrap: S&P-IHS Markit and the Land of Giants (Also, More on AML Tech)
Anthony provides some of his initial questions and thoughts following the S&P-IHS Markit deal. He also takes a second look at AML technology after getting some sage feedback.
Wavelength Podcast Ep. 221: Tech Execs Discuss Innovation in 2020
JP Morgan Chase's head of AI technology and Deutsche Bank's head of innovation for the Americas at Deutsche Bank join to talk about AI, cloud, and more.
Natural Language Generation: Great Promise, Significant Barriers
Sell-side firms and data providers are increasingly experimenting with natural-language generation to create new forms of automatically curated reports, emails and alerts, but the technique comes with significant challenges.
Bloomberg Enlists NLG to Write News Summaries
The data provider is using natural language generation to summarize news articles and write automated stories.
UBS AM’s Quant & Data Science Unit Looks to Blend Human & Machine in 2021
The QED team within the asset manager is aligning its focus next year to deliver a holistic AI platform to its investment professionals—including a recommendation engine.
Waters Wrap: Machine-Learning Models Suffer from Covid (And Exchanges in the Cloud, Pt. 2)
Anthony says that while machine-learning models have been hit-and-miss during the pandemic, NLP is taking on greater importance. He also looks at how exchanges are looking to move their core matching engines to the cloud.
Model Misfires Raise Questions Over Training Data
Quants wrestle with how far into the past their machine learning models should peer.
Waters Wrap: Is AML Tech Worth the Cost? (And Cloud Moves & More Blockchain)
Anthony wonders if AML platforms are being scrutinized enough by banks and regulators, then looks at Wells Fargo's tapping of HPR for its quant division and Northern Trust’s blockchain plans.
Fermi’s New Paradox: If AI Analysts Are So Obvious, Where is Everybody?
UBS AM’s Bryan Cross says the goal of embedding AI in the investment process has failed because the aim has been misguided.
AML Platforms ‘Are Just Not Working’—Is Human Error or Tech the Culprit?
Technologies meant to detect and stop financial crime may add more headaches than they relieve. Others say that the best tech can't overcome how bankers use these tools. The AML dilemma likely falls somewhere in the middle.
Synechron Develops Differential Privacy Tech to Leverage Internal Data
The solutions are designed to allow firms to query data and build models more effectively without breaching global privacy rules.
China’s AI Expansion Could Shift the Fintech Balance of Power
Wei-Shen thinks about how the battle for supremacy in AI will evolve in the near future, and what the implications of China’s advances in the field might mean for Wall Street technology.
EU’s Gaia-X Project: Reaching for Digital Sovereignty
Right now, details are scarce for the project, but Jo says that even if the initiative fails to get off the ground, it marks a big step in the bloc’s effort to achieve digital sovereignty.
RavenPack Adopts 'NLP-as-a-Service' Model with Focus on Firms' Internal Data
The news sentiment and analysis specialist wants to help banks tap into the datasets they sit on every day, but don't yet possess the capabilities to use.
Waters Wrap: Goldman’s Marquee Move a Sign of Larger Industry Shift (And Refinitiv’s API Rebrand)
Anthony explores changing concept of a trading platform, and what that might mean for the future of tech development.
Wavelength Podcast Ep. 218: David Hardoon on AI's Unforeseen Challenges
David Hardoon was formerly at the Monetary Authority of Singapore and is now helping the UnionBank of the Philippines build out its AI strategy.
Goldman Sachs Takes Aim at Interoperability, Analytics with Marquee Enhancements
The bank’s recent moves signal what could become a managed services offering, as Goldman further embraces cloud, open source, and APIs.
Broadridge Onboards Clients to Corporate Bonds Platform Set to Launch Next Year
The vendor's LTX platform leverages a neural network to navigate the complexity of the corporate bond market, and is expected to launch in the first quarter of 2021.