Tech giant IBM is targeting security, AI, and portability in the modernization of the mainframe as firms report still retaining “the workhorse of the back office.”
Quantum-proof algo standards are nearing completion, but enhanced cryptography won’t come cheap.
Anthony thinks that the fintech community should be looking over their shoulders as the major cloud providers are going to disrupt financial markets even more than they do today.
After experimenting with gate model quantum computers—as used by IBM and Google—CaixaBank gets to work on real-life problems.
Embryonic work on quantum neural networks raises hope of faster, more accurate models
According to Google’s Phil Moyer, the capital markets are shifting from a world where location determined liquidity, to one where accessibility will be the main differentiator for exchanges. Anthony explores what this could mean for trading firms going…
To show how ML and NLP are spreading across the industry, WatersTechnology highlights 20 stories from the last 12 months that feature unique uses of AI.
Race is on to secure new encryption algorithms for DeFi, before quantum computers become a present danger.
In Anthony’s mind, eight topics will dominate the headlines in the New Year. They are…
For decades, market data platforms have been critical components of financial firms’ trading infrastructures. But with changing user needs and emerging technologies gaining ground, will the platforms of the past be replaced by upstart challengers—or can…
Blending classical and quantum computing could reduce the cost of quantum calculations and eliminate the need to understand hardware specifics, IBM says.
IBM’s general manager of global banking and financial markets joins the podcast to talk about the importance of modernizing mainframes.
The best uses of the cloud so far have been as an enabler of performance and innovation. The best uses yet to come could reshape AI. So, Max warns, if you think cloud is about cutting costs, you’re thinking about it all wrong.
Big speed-ups for quantum-powered models could prompt bigger questions from regulators.
In recent years, the major cloud providers have expanded their service offerings specific to capital markets firms. Some industry observers believe it’s just a matter of time until they get involved in market data M&A activity.
The exchange’s pilot application to model enterprise risks cuts computation time from 10 years to 30 minutes.
If banks want to future-proof against quantum computing disruption, Anthony says they need to start experimenting now. But there’s another reason to start down this path: as Goldman Sach’s William Zeng explains, there’s a lot of funding that’s available…
The two firms spent the better part of 2020 developing a detailed analysis of the quantum computing resources needed to achieve quantum advantage in derivatives pricing. Execs from IBM and Goldman explain why this benchmark is important for future…
JP Morgan Chase's head of AI technology and Deutsche Bank's head of innovation for the Americas at Deutsche Bank join to talk about AI, cloud, and more.
What do Liquidnet and Trading Technologies (and others) have in common? Anthony explains. He also discusses advancement—and disillusionment—in the quantum space.
Bill Murphy, formerly Blackstone's CTO and now managing partner at Cresting Wave, talks technical debt, machine learning, blockchain, management strategy & more.
Use cases for quantum computing are piling up—from CVA to VAR. But so are the obstacles
ABN, ING and Rabobank are exploring quantum for regulatory stress tests. In the US, Zapata Computing is seeking a patent for the same.
Execs from Barclays, IBM & Post-Quantum discuss why financial firms have to start preparing today for the future of hacking and quantum computing.