The complex tool they developed includes a mixture of spectral analysis, optimization, control theory, and musical modelling, and allowed them to release a new version of the album where the Fab Four can be heard live and like never before. In this talk, you will learn how a single engineer built a tool that exceeded any solution available on the market through community collaboration, code reuse, and the ability to quickly turn mathematical algorithms into an effective application. However, Abbey Road Studios recently used MATLAB ® to create a new proprietary algorithm that can separate out the individual original sources from the old recordings in order to remaster the recording and remove 95% of the background noise from the fans. The simple concert recording technology available in 1964 provided only a 3-track recording that was impossible to remix effectively using traditional methods. "Live at the Hollywood Bowl" was the only live album from The Beatles, and a hard one to listen to because of the screaming fans drowning out the music. He also assesses the critical importance of good model development and implementation, and what insights he has taken from Model-Based Design in other industries.Īudio Source Separation: "Demixing" for Production In this talk, Ray discusses how financial risk technology stacks are evolving in response to regulatory and geopolitical change, bigger datasets, new modelling techniques, and rapidly changing development cultures. Fit-for-purpose models also increase functionality and drive progress, enabling more differentiating features on a car, device, or plane, and facilitating new investment, lending, and liquidity-creating products.
Good processes mitigate against risks such as costly trading errors or compliance charges in finance, while high integrity requirements have long dominated engineering.
In both cases, validated, verified fit-for-purpose models are key, extending product lifecycles amidst extreme scenarios, albeit across different time horizons. Engineering models typically draw on fewer, highly coupled inputs, often embedded in physical and electronic hardware. Financial risk management is data-centric, highly dimensional, and deployed into software systems. Two Worlds Coincide: Financial Risk Management and Model-Based DesignĪt first glance, financial risk management might appear to have little in common with engineering Model-Based Design.
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