The automotive dataset is the first of many predictive offerings planned that leverage existing data assets from the former IHS business for use by systematic investors.
The acquisition will combine the resources that each has assembled separately, and allow them to reach new audiences for their alternative datasets.
WatersTechnology speaks with data specialists from all parts of the capital markets in an in-depth examination of deep learning's impact in finance.
A look at some of the key themes that will be talked about at Waters USA—including cloud, AI, alt data, blockchain—and also a discussion of recent Brexit developments.
Data and technology have a co-dependent relationship, for better or for worse.
Financial firms with a data or technology ‘vendor’ arm developed in house are finding that separation can benefit both business lines. Max Bowie speaks to companies that have spun out from other organizations about the good, the bad, and the ugly aspects…
A new study finds that while large asset managers are investing in big data analytics and alternative data, it’s a fraught process.
While Anthony understands why banks are desperate to get in on the alternative data oil rush, he thinks that ultimately, they’re going to be disappointed.
He brings two decades of experience to new role leading GeoFinance market development.
Also: A look at Sibos 2018 and an examination of the alternative data marketplace.
Banks are looking to cash in on the alternative data boom, but an in-depth investigation of the alternative data market shows that they may be in for an uphill battle to claim territory.
Also: Trading Technologies is developing an OMS for the sell side and Orbital Insight is embracing a platform-as-a-service model.
With the alternative data industry projected to be worth over $350 million by 2020, it's time to consider whether financial services is on the brink of its own Cambridge Analytica moment or if it is simply time for an alt data ethics evaluation.
Firms are using machine learning and natural-language processing tools—no longer to grab an edge, but merely to remain competitive.
As the startup expands the number of retailers it tracks and adds geolocation data to its offering, it will eventually deploy a PaaS model for do-it-yourself geospatial analytics.
It’s a trio of problems: Mifid II’s data problem; blockchain projects stalled; and data quality issues for machine learning.
Alternative and ESG datasets hold the promise of delivering better and more predictable returns for investors, but are some firms underestimating the amount of work required to integrate these into their strategies?
When it comes to artificial intelligence, first-mover advantage is clear. But for buy-side firms that do not have the resources of global giants and are finding they are increasingly unable to compete, it becomes a tough question—do you trust third-party…
Octavio Marenzi joins to talk about the web data extraction market and Anthony and James delve into Refinitiv.
Structure of Asian markets means new tool has to roll out later than Europe or the US, but will incorporate feedback from those regions.
Forays into selling data have been slowed by concerns over confidentiality, internal battles over its use and clean-up work on the data itself. Risk.net's Faye Kilburn reports.
Waters canvasses a range of industry opinion leaders about what the defining technologies of the next few decades will be.
Waters examines some of the most important events in financial technology of the past 25 years.