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Machine Learning Takes Hold in the Capital Markets: Some Examples
WatersTechnology looks at 16 projects in the capital markets that involve machine learning to show where the industry is heading.
Listen Up: How Tech is Turning Voice into a Valuable Dataset
Voice is arguably one of the most interesting—yet largely untapped—alternative datasets in existence today.
The Rise of the Algo Wheel
An examination as to how the buy side is embracing algo wheels and where the challenges still remain.
Due North: Inside TMX Group's Bold Data Audit Overhaul
Toronto's TMX Group is looking to revolutionize the way that it conducts data audits with users. While the early feedback is positive, will others follow suit?
The API Economy’s Existential Crisis
Has the so-called ‘API economy’ been over-hyped, or is there value in recalibrating an open API strategy? WatersTechnology examines.
Bad Clocks Block FX Best-Ex
To get a good deal in fast-moving FX markets, buy-side firms need to know the time. Some of them don’t.
Banks Team Up for “Ion Replacement” Project
Consortium weighs building fixed-income software in potential threat to Ion, the dominant vendor
Robo-raters Help Banks Vet Vendors for Cyber Risk
These specialists are touting services for monitoring third parties amid tougher rules on outsourcing risk.
Banks Begin Exploring Homomorphic Encryption Use Cases (Part 2)
Josephine Gallagher explores some of the real-life applications of homomorphic encryption in development and the main roadblocks to its adoption.
Homomorphic Encryption: Banks Take Notice (Part 1)
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.
After Fidessa Exodus, Some Users Brace For Trouble
WatersTechnology spent three months examining Fidessa to see what has transpired inside the vendor since the Ion acquisition. During a period of great change, a lot of questions—and worry—remain.
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.
Brokers Tackle Pro v. Non-Pro Data Cost & Compliance Challenges
Max Bowie digs deep into how firms are making sure they classify data consumers correctly to avoid paying unnecessary fees.
A Look Inside UBS's Quantitative Evidence & Data Science Team
Led by Bryan Cross (pictured), the asset manager's QED team aims to blend quant and fundamental to find unique solutions to new problems.
Old Dogs, New Tricks: Veteran Tech Execs Enjoy the Startup Life
An examination of how long-serving industry veterans are finding a home at fintech startups.
Embracing the Numbers: Analytics to Improve Trader Performance
As passive strategies and fee compression cut into active returns, buy-side firms are turning to internally generated data.
Lost in Translation: The Genesis of the Data Translator
An examination of the ‘data translator’ role and how it can help forward a firm’s data agenda.
Souheil Badran Oversees Northwestern Mutual's Innovation Program
After a run at Alibaba's Ant Financial, Badran is ready to lead the 160-year-old institution's digitization efforts.
The Future of Cloud Regulation: The Authorities Take Notice
A look at how regulators could approach supervising public cloud companies in the future.
The Secret Source: Machine Learning and Open Source Come Together
A deep-dive into how capital markets firms are using open-source tools to experiment with machine learning.
Blockchain’s Standards Dilemma
An examination into how the industry is trying to create standards around blockchain development.
Blockchain Could Unlock Value of Real Estate as an Asset Class
In Part 2, Max looks at how new technologies could help to grow the real estate market.
Real Estate as a Tradeable Asset Class Faces Data Hurdles
The value of real estate markets dwarfs other asset classes, but a lack of data has hindered its development. Part 1 of a 2-part series.
The Rise of the Robot Quant
The latest big idea in machine learning is to automate the drudge work in model-building for quants