Advancements in modeling and the rise of alt data have made the process of prepping for the US presidential election more complex, but hopefully more accurate.
The TIAA company has developed its own metrics and partnered with provider Zaloni for a comprehensive approach to sustainable investing.
Just as there’s always money to be made from doing dirty jobs, there are opportunities around dirty data—especially in industries that are only now beginning to appreciate the value of being data-driven.
Young firms, using machine-learning methods to scrape consumer info, challenge established agency model.
Quant funds are striving to adjust their ESG models to take into account changes in corporate behavior during the pandemic.
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.
In the era of big data, standards take too long to adopt, say industry participants.
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 new datasets mark a milestone in the company's multi-year strategy to allow investors greater access to small and medium enterprise companies.
Anthony looks at how the lines that have traditionally defined the world of "fintech" are blurring. Also, can blockchain help with ZTA's advancement?
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 unit is combining foot-traffic data and proprietary datasets derived from hospitals to develop a better understanding of outbreaks and predict a timeline for recovery.
Wei-Shen and Tony talk about alt datasets relating to the pandemic.
As exchanges partner with cloud providers to move more functions to the cloud, Anthony wonders if these partnerships could become competitive in the future.
Investment firms and vendors are searching for signals in healthcare and pharmaceutical data in a bid to get a leg up on a Covid-19 vaccine.
The investment manager has developed frameworks to better understand how ESG issues impact individual company performance and sectors.
Isda's CDM leaves banks questioning the way forward; the rise of virtual-desktop infrastructures; generic business intelligence tools become more popular.
Quants are using data on product returns and employee welfare to pick winners.
After launching last year with the intent to service telecommunications companies, the alt data provider is looking to carve out a niche in finance.
Originally conceived to serve the needs of financial professionals, Predictive Insights has a wide range of predictive applications, even beyond capital markets.
The firm developed a short-term data strategy to avoid the use of unreliable data and better understand the effects of the pandemic on the market as it evolves.