The survey reveals that capital markets firms are focused on optimizing the benefits arising from the explosion of data and new technologies that have the potential to transform businesses. Data consumption continues to evolve and increase. Market…
The latest release builds off of lingering automation needs within last year's phase-one Trade Vision database launch.
S&P and IHS Markit may have agreed to their takeover deal, but there may yet be some surprises before the deal actually closes. Max ponders what might lie in store for the companies over the next six months.
Market participants say Esma’s latest efforts to address the cost and complexity of market data fees don’t address the root of the problem.
Anthony provides some of his initial questions and thoughts following the S&P-IHS Markit deal. He also takes a second look at AML technology after getting some sage feedback.
The deal reflects the broader trend of market participants pursuing scale to create true front-to-back trading and data environments, which may signal a trading platform acquisition in the future—though the IHS Markit acquisition may face regulatory…
JP Morgan Chase's head of AI technology and Deutsche Bank's head of innovation for the Americas at Deutsche Bank join to talk about AI, cloud, and more.
Sell-side firms and data providers are increasingly experimenting with natural-language generation to create new forms of automatically curated reports, emails and alerts, but the technique comes with significant challenges.
The data provider is using natural language generation to summarize news articles and write automated stories.
Facteus officials say Bloomberg's clients will benefit from being able to assess the impact of consumer-spending data on macroeconomic indicators.
The QED team within the asset manager is aligning its focus next year to deliver a holistic AI platform to its investment professionals—including a recommendation engine.
The service would aim to allow buy-side firms to proactively monitor for trading abuse, rather than react after the event.
Anthony says that while machine-learning models have been hit-and-miss during the pandemic, NLP is taking on greater importance. He also looks at how exchanges are looking to move their core matching engines to the cloud.
Quants wrestle with how far into the past their machine learning models should peer.
In a recent proof-of-concept with AWS and SGX, Aquis demonstrated significant jitter reduction.
The exchange's ESG Footprint converts ESG data into everyday metrics to show investors the impact of their portfolios.
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.
A summary of some of the past week’s financial technology news.
Officials remain silent on the closure, which has been in the works since last year, sources say.
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 latest consultation on the market data obligations under Mifid II looks to provide better, cheaper, and more uniform access to market data. But will it be enough to standardize policies?
The data provider's SFTR offering provides opt-in features to minimize LEI-related errors in collateral messages.
Already well established as an alpha-enhancing input to equities trading, sentiment data is now being applied to other asset classes, starting with foreign exchange.