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AI in the Cloud: How the Two are Making for a Perfect Match
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.
Lawyer: Don’t Punish the Programmers
Smart contract developers should not be responsible for violations of regulation perpetrated on the blockchain, says Katten special counsel.
AI’s Next Phase – Thriving Through Implementation
Many in financial services are trialing artificial intelligence (AI) applications, with projects increasingly sophisticated in methodology and ambition. WatersTechnology, in partnership with SmartStream, recently convened a Chatham House-style discussion…
Clearstream Head Warns of Limitations of Simple AI
Revamping systems for STP is more useful than robotics applied to limited aspects of operations and workflow.
IBM Wants to Enable AI Model Sharing and Data Privacy
The technology provider is using advanced techniques and encryption to enable institutions to share AI models.
As Passive Investment Drives Closing Auction Volumes, Chi-X Takes Aim
Chi-X launched MatchPoint to meet the demand for anonymous trades during the closing auction.
QuantConnect Wants to Create a ‘League’ for Algo Testing
The crowd-sourced trading platform is looking to create a competitive arena for quants to test their algorithms.
Quandl Uses Algos to Predict a Company's Future Earnings
EQR is part of Quandl’s move to offer more exclusive datasets to its customers.
The Rise of the Robot Quant
The latest big idea in machine learning is to automate the drudge work in model-building for quants
Northern Trust Develops Google-Inspired Pricing Engine
The new service for traders employs time series analysis to forecast rates for securities lending.
Brown Brothers Harriman's Welch Explains Bank's Use of Artificial Intelligence
The bank has a number of projects using emerging technologies, one of which optimizes the process of detecting price anomalies.
HFT Firm Potamus Looks to Outsourced Trading, New Asset Classes
Potamus has seen its US equities platform grow in the past year.
Machine Learning Shakes Up Classical Financial Risk Modeling
BlackRock, MSCI, and La Française are some of the firms looking to replace traditional, linear risk models.
The AI Ethics Dilemma: Banks Find a Fine Line Between New Tech and 'What's Right'
Finance firms and regulators are beginning to assess the ethical implications of artificial intelligence.
Barclays Nearly Finished with First Major Quantum Computing Experiment
Dr. Lee Braine walks through how the bank is experimenting with quantum computing and where the field is heading.
Mizuho Finds New Ways to “Activate” its Data Using AI
The Japanese bank has already automated handwritten form processing and is experimenting with AI to make use of its unstructured data.
Acadian: Beware Quant Snake Oil
The quant firm’s Seth Weingram lays out his principles for the effective use of machine learning.
Warrants Issuers Battle Algo Predators in Hong Kong
The threat of high-frequency traders have forced banks to spend big on tech.
Morgan Stanley Explores Using AI to Better Trade Equities
The bank is also looking at using AI for intelligent IOI suggestions based on clients’ trading profiles.
Liquidnet Builds Netflix-like Functionality for Buy Side
The company is leveraging AI to make investment suggestions and dig out sentiment from spoken announcements.
Heating Up: An In-Depth Look at How Investment Firms Use Carbon Data
As ESG data becomes more of a commodity, firms are struggling with how best to incorporate carbon data.
Human Factor Is Crucial to the Alt Data Gold Rush
While tech advancements are being made, buy-side firms still rely on humans to make sense of alt data.
'Next Act: A Profile of Euronext's Alain Courbebaisse
The last decade has seen Euronext chewed up and spun out following a series of mergers & acquisitions. Once again independent, Courbebaisse is writing the exchange’s IT roadmap.
Fund Houses Get Picky Over Where to Use Machine Learning
Buy-siders have limited their usage of deep learning techniques due to haziness over their inner workings.