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.
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 Connect20 hackathon and the Accelerator Program are designed to "industrialize" BNY Mellon's ability to identify early stage companies providing solutions to key technology and business challenges facing the firm.
Experts from IBM and Bank of China say they're on the lookout for this emerging threat, as machine learning gains in popularity.
Instead of waiting for data quality to be sufficient to power AI models, those at the cutting edge are building models to bridge the gaps in the data, and apply it to more sophisticated use cases.
An assortment of AI experts talk about various machine learning and NLP opportunities and challenges.
Banks are focused on making work-from-home life more secure, but how can these projects be used to improve the customer experience going forward?
Eric Tham of the National University of Singapore said during the Innovation Exchange that explainability is an afterthought at banks when they develop their AI-driven models. Unsurprisingly, some bankers did not agree.
A look at some of the key people moves from this week, including Derek White (pictured), who has been appointed vice president of global financial services at Google.
Emerging tech is proving its worth since the Covid-19 outbreak, and are swaying skeptics towards even greater adoption, panelists said.