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.
The company is launching a new workbench in Q4, along with other prototypes and new accelerators.
The new feature, which is currently undergoing beta testing, is expected to launch in Q4 2020.
The company's news tracker, available on the Macro Vitals app, uses language models to classify reports on specific companies.
Anthony explores how Snowflake is trying to win over business in the cap markets, talks about the reference data space, and examines a new breed of data vendors.
The modules, which use machine learning to derive predictive insights, are scheduled to go live in Q1 2021.
The asset manager is teaming with a vendor on the project, which will first be used for equities trading before moving to corporate bonds.
Due to the pandemic and rapid advancements in the fields of AI and mobile technology, regulators in the US and Europe have unique challenges on their hands.
The vendor is focusing on adding an Alexa-like digital assistant feature to the application.
Jo wonders if the EC's approach to regulating AI could adapt existing liability laws—with implications for individuals.
IHS Markit uses Google’s transformer-based model BERT and a combination of classification and extraction techniques to determine what the documents mean and summarize them.
The two are working out the necessary regulatory, tax, and documentation needed to provide custody services for foreign exchange transactions in the two countries.
The move marks the start of plans to expand the distribution of Kensho's entity and individual recognition and tagging system.