Quantum computing experts voice explainability fears
Big speed-ups for quantum-powered models could prompt bigger questions from regulators.
Regulators and model-risk managers have been kept busy in recent years by rapid advances in machine-learning techniques that power banks’ modeling of everything from interest rates to customer fraud. If quantum computing continues its rapid march towards commercial viability, they might be about to get a whole lot busier.
Speaking yesterday to a panel of experts at Risk Live, hosted by WatersTechnology sister publication Risk.net, Lee Braine, managing director of research and engineering at
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
Once a blockchain cheerleader, Axoni changes its playbook
The fintech, whose origins can be traced back to the genesis of capital markets’ complicated flirtation with DLT, has largely ditched the tech as the foundation of its data synchronization offering, opting for more familiar territory.
The IMD Wrap: Quality drivers—the sticks and carrots accelerating the data quality race
Like a Formula One Grand Prix, data management is a race that can be won or lost. And just as each race is part of a larger F1 championship that pays large sums of TV money to the winning team, winning or losing one race can contribute to winning or losing an endgame with much more at stake.
This Week: Clear Street, Hudson River Trading/Google Cloud, Alveo and more
A summary of the latest financial technology news.
Start-up uses ‘Magic’ to democratize access to AI for hedge funds
Spun out of Brevan Howard five years ago, SigTech hopes its new no-code generative AI offering can help smaller buy-siders even the odds with AI models.
JP Morgan touts DLT, tokens for collateral management
Distributed-ledger technology could make moving non-cash collateral more efficient, said managing director Toks Oyebode during an Isda conference on Thursday.
Waters Wrap: The changing definition and perception of blockchain
Anthony says that questions of definition and perception are killing DLT projects in the capital markets—oh, and a lack of proven implementations.
This Week: IPC extends Google Cloud partnership, BlackRock/AIA, DTCC and more
A summary of the latest financial technology news.
Waters Wavelength Podcast: Deutsche Bank’s Boon-Hiong Chan
Boon-Hiong Chan from Deutsche Bank joins the podcast to talk about blockchain interoperability.
