A novel NLP application built on a Google transformer model can help predict ratings transitions
Anthony believes these advancements will provide the opening for Big Tech firms to created outsized influence that will change financial technology forever.
The data vendor has deployed machine learning across its ETF and fund screening datasets, and plans to interoperate with other big tech firms in the future.
PanAgora has developed a two-stage process that aims to weed out the greenwashers.
Machine learning could help with loan decisions—but only if banks can explain how it works. And that’s not easy.
RMS providers Sentieo and MackeyRMS feel the pressure to become quasi-data and analytics providers in their quest to cover the gamut of the buy-side research analyst workflow.
A look at some of the key people moves from this week, including Michelle Neal (pictured), who has joined enterprise software vendor LedgerEdge as CEO of US operations.
Rebecca examines the tangled web woven between Reddit, meme stocks, and QAnon, and asks how well prepared data providers looking to jump on the meme stocks bandwagon are to recognize organized disinformation campaigns.
Anthony takes a look at some major CEO changes from the last year, and what those moves might mean for clients of those vendors.
A new tool that helps business users test and validate their own POCs is set to join the bank’s ranks alongside its other AI projects implemented over the last two years: Linc, Guardrail, and Ants.
A summary of some of the past week's financial technology news.
While some alternative data providers are jumping in on the meme-stock craze by producing new datasets and analyses geared toward risk management and alpha generation, others—perhaps rightly so—are staying cautious.
The bank’s client segmentation offering creates more targeted post-trade offerings, while its prediction engine can help reduce settlement failures.
Evolutions in the realms of cloud, AI, and surveillance/encryption are making the possibility of a decentralized trading ecosystem more real. Anthony looks at how progress in these areas—as well as the interoperability push—will forever change the…
In recent years, the major cloud providers have expanded their service offerings specific to capital markets firms. Some industry observers believe it’s just a matter of time until they get involved in market data M&A activity.
The $110 billion quant investor is creating an automated system to spot greenwashers.
A long-time AWS client, Finra is using a combination of AWS tools and its own knowledge graph to generate better search results.
The asset management arm of Ping An Insurance (Group) Company of China is enhancing its NLP models to solve complex, non-linear challenges such as overfitting.
Concerns about data leakage have driven some users to rival privacy-focused messaging apps like Telegram and Signal, as WhatsApp policy changes come into force on May 15.
Although many banks and asset managers still prefer to build models in-house, off-the-shelf products are maturing.
After Redditors staged an epic short squeeze against a handful of hedge funds, some in the industry are left wondering whether today’s models and data techniques are prepared for world where online often equals real life.
The share of electronic trading in the market remains low, but a host of factors promise to change that for good.
Waters Wavelength Podcast Interview Series: PanAgora’s George Mussalli and Mike Chen hit on topics including building predictive models using point-in-time data, and balancing ESG portfolios.
ThemeBot uses textual relevance and revenue attribution to construct a list of stocks, which is then verified by JPMAM’s active equity analysts.