A look at some of the past week’s financial technology news.
Banking experts urge firms to consider re-engineering a process before turning to robotic process automation.
ABN, ING and Rabobank are exploring quantum for regulatory stress tests. In the US, Zapata Computing is seeking a patent for the same.
Jo writes that the EU’s new digital package could find large cloud providers operating in the bloc subject to potentially invasive oversight, as the EU strives for “data sovereignty”.
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.
Matt Stauffer, managing director, institutional trade processing at DTCC, explores how firms can reduce trade fails by adopting an adaptable, automatic solution that simplifies the process of analyzing and upgrading the post-trade lifecycle
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.
Anthony Malakian looks at the industry’s digital rights project and new tech platforms that aim to revolutionize the capital markets.
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?
What if you could create your ideal, fully-functional application without writing a single line of code? With low-code and no-code platforms, you can—with a catch … or two, or three, or four.
The Paris-based bank has developed a coding environment to help democratize tech development, and is exploring virtualization.
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.
Waters Wrap: How Cloud, APIs, and Open Source Are Changing the World of Fintech (And Blockchain's ZTA Play)
Anthony looks at how the lines that have traditionally defined the world of "fintech" are blurring. Also, can blockchain help with ZTA's advancement?
Vendor integrates open source stream processing software Apache Kafka for real-time event data.
Emerging tech is proving its worth since the Covid-19 outbreak, and are swaying skeptics towards even greater adoption, panelists said.
Today marks the 19th anniversary of the September 11 terrorist attacks. We remember those who died that day and later, as a result of injuries and illness sustained during the rescue and clean-up efforts.
Morgan's Morphir offering is a transparency and efficiency tool for both users and developers; EPAM's GLUE is aimed at the buy side.
Essentia Analytics' Clare Flynn Levy talks about how buy-side firms are using behavioral analytics in the investment process.