Companies like Ice are looking at ways to help municipal bond investors gain transparency into a historically opaque market.
A summary of some of the past week's financial technology news.
Mary-Catherine Lader says that the asset manager is building out new modeling tools to help users better understand how the decisions a company makes today can affect their performance in the future.
State Street’s Chris Berry explains how the asset servicer winnowed 60 ESG data providers down to six, and why this strategy has proved to be effective.
Economists at the bank leveraged a combination of public and third-party data to make conclusions about the future during uncertain times.
Pension Reserves Investment Management and MIT’s business school are looking to improve ESG data and to reflect all investors’ views.
Last year, most (if not all) financial technology providers either completed or started major projects that involved moving their products and services to the cloud. WatersTechnology looks at 15 of the more interesting cloud-migration initiatives from…
FactSet’s mapping service, Concordance, can be used on its own or with Snowflake’s cloud, enabling users to apply the offering to other datasets in Snowflake’s ecosystem.
Buy-side firms are using patent and other types of data to identify trailblazer companies from phonies.
Anthony takes a look at some of the major projects that involved application interoperability from last year. The list includes feats by Goldman Sachs, BlackRock, Barclays, ICE, State Street, Refinitiv, and FactSet.
As 2020 comes to a close, Anthony looks at how firms have adjusted their short- and long-term plans in the face of the coronavirus, focusing on office space, innovation, alt data, and mental health.
WatersTechnology looks at how 10 different firms are embedding machine learning algorithms into their platforms and tools.
WatersTechnology looks at some of the major projects coming out of Asia that are leading the way for firms around the globe.
This year, natural language processing came to the fore in capital markets, helping firms of all kinds parse huge, unstructured datasets.
Agent-based modeling has taken root seemingly everywhere throughout the last decade, from theoretical physics, to military operations, to public health, to ride-sharing apps like Uber, and to a much lesser extent, finance. However, a year such as 2020…
Boston-based Changebridge Capital is using a hybrid approach to find investment opportunities in misunderstood small- and mid-cap companies.
The latest release builds off of lingering automation needs within last year's phase-one Trade Vision database launch.
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…
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.
A look at some of the key people moves from this week, including Steven Nichols (pictured) who has been appointed head of NLP and unstructured data at Liquidnet.
UBS AM’s Bryan Cross says the goal of embedding AI in the investment process has failed because the aim has been misguided.