Josephine Gallagher explores some of the real-life applications of homomorphic encryption in development and the main roadblocks to its adoption.
With security, privacy, risk, and control in mind, the duo have teamed up to provide an all-encompassing public cloud utility for the financial sector.
Banks are showing interest in solutions based on homomorphic encryption, including for sharing information on cybercrime. Jo takes a look at what this technology is, and if these solutions can be commercially viable.
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.
Led by Bryan Cross (pictured), the asset manager's QED team aims to blend quant and fundamental to find unique solutions to new problems.
The UK financial regulator is seeing fewer entrants into the industry as start-ups struggle to break into the market.
An examination of the ‘data translator’ role and how it can help forward a firm’s data agenda.
The firm's chief investment officer, Tan T-Kiang, explains how his team is using GCP to "listen" to live market data.
A deep-dive into how capital markets firms are using open-source tools to experiment with machine learning.
The bank is looking to pair this relatively new role with its data scientists as a bridge for business professionals.
Combined offering from Crux and Google Cloud can slash data onboarding times, says vendor
Buy-siders have limited their usage of deep learning techniques due to haziness over their inner workings.
As nations and markets become increasingly interconnected, geopolitical risk has become top of mind for portfolio managers.
The technology giant is rolling out tools to asset managers who need to use machine learning but have limited in-house experience.
Lucena will provide a pre-packaged signal based on Wall Street Horizon's earnings dates revision data, for buy-side firms without the in-house resources to analyze the raw data themselves.
As alternative data companies battle for capital and a coveted spot in investment managers’ portfolio strategies, they are turning to bespoke marketing and partnerships to stand out in an industry where firms still struggle with data science resources.
The bank is one-third of the way through a three-year project to re-engineer its data management processes to become a more data-driven business.
There is a movement underway to establish universal standards and the semantic ontologies that make them sing. As the industry approaches semantic utopia, questions remain about what steps need to be taken to get there and whether all the work will be…
WatersTechnology speaks with data specialists from all parts of the capital markets in an in-depth examination of deep learning's impact in finance.
To a hammer, every problem looks like a nail. Similarly, many in the financial industry think the growing data science space will solve all problems. But firms should be more critical of their needs before using data science as a hammer.
A new study finds that while large asset managers are investing in big data analytics and alternative data, it’s a fraught process.
Its portfolio of ‘ready-made POCs’ assist financial services, banking and insurance firms in proving the return on investment issue.