Quants wrestle with how far into the past their machine learning models should peer.
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.
UBS AM’s Bryan Cross says the goal of embedding AI in the investment process has failed because the aim has been misguided.
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.
The solutions are designed to allow firms to query data and build models more effectively without breaching global privacy rules.
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.
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.
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 bank’s recent moves signal what could become a managed services offering, as Goldman further embraces cloud, open source, and APIs.
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.
Victor explains how Citi Ventures—Citibank’s corporate venture arm—and the D10X program approaches challenges.
In minutes, JEFQuants compiles information from multiple sources into a unique data package based on traders' queries.
What do Liquidnet and Trading Technologies (and others) have in common? Anthony explains. He also discusses advancement—and disillusionment—in the quantum space.
Bill Murphy, formerly Blackstone's CTO and now managing partner at Cresting Wave, talks technical debt, machine learning, blockchain, management strategy & more.
Use cases for quantum computing are piling up—from CVA to VAR. But so are the obstacles
Hans delves into machine learning, moonshot projects, technical debt, and what has been learned during the pandemic.
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.
The two companies are in the early stages of using causal inference to help firms build machine learning models that are better able to handle disruption from events like the Covid-19 pandemic.
Data scientists, IT teams, and the business professionals should work together when deploying emerging technologies and data science models. Otherwise, they may be setting themselves up to fail.
The fund administrator’s clients can now access multiple datasets from one data lake.