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.
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.
In 2016, Anthony wrote that the blockchain revolution was overhyped—unsurprisingly, his opinions have not changed. He also delves into the Ion-Broadway deal, and looks at new consulting/advisory firms that have recently come to market.
A summary of some of the past week’s financial technology news.
Anthony takes a look at some new alternative data offerings coming to market, and also explains why there’s so little election coverage on this website.
Alqami will advise wannabe alternative data vendors on the value of their content, while TickSmith will provide the technology platform for them to sell it to potential clients.
The news sentiment and analysis specialist wants to help banks tap into the datasets they sit on every day, but don't yet possess the capabilities to use.
Once the bot is in production, the D10X team will start scaling it beyond the oil trading team to other trading desks.
Quants and data scientists can now access five years of Level 3 data through the vendor's Data Lab platform for use in alpha generation.
Officials say FISD's standards efforts will encourage and support broader adoption of alternative data among firms that have previously not had the resources to take advantage of new alt datasets.
ESG risks will become part of investment and risk management processes across all funds at the firm.
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.