Despite technological advancements, the onboarding process is still a slog. Banks and vendors are trying to change that.
The quant firm’s Seth Weingram lays out his principles for the effective use of machine learning.
The bank is also looking at using AI for intelligent IOI suggestions based on clients’ trading profiles.
The pace of change—in politics and in fintech—over the past few years has been breathtaking. Jo finds out at NAFIS, however, that some things never change.
Machine learning can tell stories from large datasets to drive alpha, say quants.
The company is leveraging AI to make investment suggestions and dig out sentiment from spoken announcements.
As ESG data becomes more of a commodity, firms are struggling with how best to incorporate carbon data.
The firm is developing machine learning models internally to optimize the reconciliation process and detect price anomalies.
The bank plans to expand a program that uses machine learning to pull out key terms for contracts.
Buy-siders have limited their usage of deep learning techniques due to haziness over their inner workings.
A look at the massive tech projects (and legal battles) underway at the NYSE, which are being led by Stacey Cunningham.
A substantial amount of vendors are making misleading claims about AI capabilities, experts say.
As nations and markets become increasingly interconnected, geopolitical risk has become top of mind for portfolio managers.
Humans, and not robots, will still be required for the foreseeable future, say trading vets.
Assuming that automated artificial intelligence holds the key to unlocking fragmented datasets, the absence of standardized models coupled with regulatory concerns remain barriers to adoption.
The combination of the two technologies is bearing fruit for firms struggling with legacy architectures, but education and talent remain tough obstacles to overcome.
This year's SST Awards were held on the afternoon of April 12 in London. Here are this year's 31 category winners.
The technology giant is rolling out tools to asset managers who need to use machine learning but have limited in-house experience.
UBS Asset Management’s data chief sets out his recommendations for using alternative data in the investment process.
Development of machine learning and natural-language processing is now turning to languages other than English to keep a better eye on traders and the market. But how easy is it to teach a machine a new tongue?
Bryan Cross, who heads UBS Asset Management's QED group, joins to discuss alternative data and AI.
A funding deal led by Google's private equity affiliate will expose Collibra to machine learning and AI expertise at the search giant.
Lars Ottersgård, head of Market Technology at Nasdaq, talks AI, blockchain, quantum computing, cloud, acquisitions and more.