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.
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.
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.
The data provider is using natural language generation to summarize news articles and write automated stories.
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.
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.
Quants wrestle with how far into the past their machine learning models should peer.
The supporters of a plan for a federated cloud architecture in Europe held a conference to discuss development plans, but it’s still unclear how the concept will work in practice.
UBS AM’s Bryan Cross says the goal of embedding AI in the investment process has failed because the aim has been misguided.
Although graph technology is still in the early stages of adoption, banks such as Wells Fargo and ING have begun leveraging it to find previously unknown connections between datasets.
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.
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.
Anthony explores changing concept of a trading platform, and what that might mean for the future of tech development.
David Hardoon was formerly at the Monetary Authority of Singapore and is now helping the UnionBank of the Philippines build out its AI strategy.
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.
Once the bot is in production, the D10X team will start scaling it beyond the oil trading team to other trading desks.
The bank is developing its data analytics platform, Hunter, to better identify financial crime.
After two cloud-native product successes, the vendor plans to migrate all its software to cloud native to optimize the benefits of running in the cloud for clients.
Bill Murphy, formerly Blackstone's CTO and now managing partner at Cresting Wave, talks technical debt, machine learning, blockchain, management strategy & more.
Hans delves into machine learning, moonshot projects, technical debt, and what has been learned during the pandemic.
The asset manager has adopted materiality tools, industry handbooks, and NLP techniques to help navigate ESG data limitations.
Banking experts urge firms to consider re-engineering a process before turning to robotic process automation.
The two banks outline their ambitious data governance programs, which make business professionals culpable for their organization's data decisions.
Anthony looks at an interesting project using causal inference by IBM and Refinitiv, and what this latest evolution of machine learning could mean for innovation in the capital markets in the future.