Socially responsible investors are putting their money where their mouth is—in ever-increasing amounts. With insatiable demand for new datasets and analytics to support these strategies, it’s not surprising that every data vendor wants a slice of the ESG…
The draft technical standards for the EU's updated disclosures regulation will impact most market participants, analysts say.
Financial services firms have been looking to maritime data for economic insight during the coronavirus pandemic.
As more financial institutions are starting to expand their usage of AI, they are turning to the cloud to help scale up. However, there are things to consider before doing so. Wei-Shen Wong examines.
If the HKEx–LSEG merger goes through, the LSEG–Refinitiv deal would be scrapped, creating an interesting ripple effect.
The technology giant is rolling out tools to asset managers who need to use machine learning but have limited in-house experience.
Despite what some wireless carriers say, we’re still a few years away from a mass rollout of true 5G networks. While they will be revolutionary, right now it’s more hype than reality. WatersTechnology tries to look ahead to see how capital markets firms…
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.
Octavio Marenzi joins to talk about the web data extraction market and Anthony and James delve into Refinitiv.
Axel Pierron of Opimas looks at five blockchain projects set to go live in 2018 that the industry should keep an eye on.
While much of the talk about machine-learning technology in capital markets is overblown, there’s no question that these tools are set to become increasingly prevalent over the coming years. Anthony Malakian takes stock of where the industry stands based…
According to Opimas, the regtech space only pulls in 5 percent of the total IT spend pool, but that is going to change.
By some estimates, investment in alternative datasets will exceed $7 billion by 2020. At the same time, machine learning and other AI techniques are evolving at a rapid pace. The combination of the two will be significant.
For financial firms, more data volumes and data-centric regulations mean a need for more chief data officers.
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