The investment manager's move to tackle unstructured data is starting with sell-side analyst reports.
An examination of the ‘data translator’ role and how it can help forward a firm’s data agenda.
The company is using machine learning and natural-language processing technology to enhance its Tamale and Geneva platforms.
Firms are reluctant to move ahead with AI technologies as there is little regulatory guidance on its ethical implications, exchange providers say.
The French bank plans to make its KYC offering available to external clients by the end of the year as it continues to enhance SG Markets.
A look at some of the key "people moves" from the week of Sept. 9 to Sept. 13.
Financial services firms are deeply entranced with artificial intelligence (AI), yet the revolution is under pressure as the industry continues to become more educated and selective about it. Recent research data from WatersTechnology and SmartStream…
After a run at Alibaba's Ant Financial, Badran is ready to lead the 160-year-old institution's digitization efforts.
A deep-dive into how capital markets firms are using open-source tools to experiment with machine learning.
The latest big idea in machine learning is to automate the drudge work in model-building for quants
Quants are embracing the idea of ‘model-free’ pricing and deep hedging.
The hype of artificial intelligence is far from fading—actually, it’s more like a building tidal wave. Wei-Shen wonders if the capital markets will catch the wave, or get smothered by the tide.
With Benoît Legrand firmly in the driver’s seat, the last four years have seen ING push to transform its IT landscape and approach to innovation.
The bank has a number of projects using emerging technologies, one of which optimizes the process of detecting price anomalies.
The bank is looking to pair this relatively new role with its data scientists as a bridge for business professionals.
FIS is pushing to add greater automation for its private-equity business in an effort to streamline workflows.
The regulator already uses machine learning to identify spoofing and layering activities.
BlackRock, MSCI, and La Française are some of the firms looking to replace traditional, linear risk models.
Finance firms and regulators are beginning to assess the ethical implications of artificial intelligence.
The immense growth of online data is driving an increasing number of asset managers to deploy web-scraping tools to find unique investment insights.
Artificially intelligent algorithms are not infallible—as Jo Wright explains, it’s quite the opposite.
Asset managers wanting to thrive in today’s landscape of squeezed margins must learn how to capitalize on innovative AI tech to deliver top-line growth, according to SS&C Technologies.
The call of artificial intelligence and machine learning is alluring. However, Wei-Shen says they can be tough to deal with, especially when shooting at invisible targets.
The Japanese bank has already automated handwritten form processing and is experimenting with AI to make use of its unstructured data.