AI
AI is coming for complexity … and trading depends on it
While AI may be able to recreate interfaces, the value is in messaging networks, low-latency data, and unique information flows.
Firms look to decommission legacy tech and embrace a range of cloud-based tools
A survey of capital markets firms reveals a demand for cloud-native analytics and increased adoption of AI technology. However, challenges around cost and migration complexity persist when it comes to cloud migration.
Capital markets firms outline tech, data and ops priorities
A survey of capital markets firms reveals a demand for cloud-native analytics and increased adoption of AI technology. However, challenges around cost and migration complexity persist when it comes to cloud migration.
GenAI and data quality converge at T. Rowe Price’s (Data) Lake Como
Jay Como was hired by T. Rowe Price in 2023, just as generative AI was rippling across the capital markets. Rather than accepting data quality as a hindrance to AI development, his team wants to use AI and agents to help solve this long-standing issue.
Market data cost increases slow, but prices still outmatch budgets
The market for market data is in flux as procurement teams are buoyed by C-suite attention, AI, and competitive tension. But providers are trying to protect their moat.
Jump Trading CIO: Prop AMMs allow users to create ‘a mini Jump Trading’
Dave Olsen said at FIA Boca that a new concept, proprietary automated market-makers, had grabbed the firm’s attention this year.
SigTech’s closure amid agentic AI boom raises questions
Sources say competition from leading AI companies was too stiff to combat.
Apac buy-side firms embrace AI, automation to optimize business processes
Survey of Apac buy-side firms shows growing AI, API and automation usage to enhance investment workflows and enable data integration
Apac buy-side firms embrace AI, automation to optimize business processes
Survey of Apac buy-side firms shows growing AI, API and automation usage to enhance investment workflows and enable data integration
FHLB Cincinnati explores AI to spot failing banks
The financial risk head at FHLB Cincinnati is developing an agentic model to draft reports for analyst review.
Waters Wavelength Ep. 347: Brennan Carley
This week, Brennan Carley, who has spent more than 40 years working in financial technology, joins to discuss the hidden risks and untapped potential of agentic AI in the capital markets.
After Dora, ITRS pursues agentic AI for autonomous monitoring
Chief product officer says firms can bolster data resilience with new forms of AI.
Infused reasoning and the future of AI in capital markets
How AI is evolving from experimental capability to strategic enabler, and what that means for firms seeking a smarter competitive edge
Esma won’t soften regulatory expectations for cloud and AI
CCP supervisory chair signals heightened scrutiny of third-party risk and operational resilience.
Bloomberg Terminal’s agentic play shows rapid change in trading tech
Waters Wrap: The data giant’s conversational AI interface might seem novel, but others say having one is becoming a bare minimum in the world of trading technology.
Data heads scratch heads over data quality headwinds
Bank and asset manager execs say the pressure is on to build AI tools. They also say getting the data right is crucial, but not everyone appreciates that.
CompatibL’s unique AI strategy pays dividends
CompatibL’s unique approach to AI and how its research around cognitive bias and behavioral psychology have improved the reliability of its AI-based applications.
Market participants voice concerns as landmark EU AI Act deadline approaches
Come August, the EU’s AI Act will start to sink its teeth into Europe. Despite the short window, financial firms are still wondering how best to comply.
Fiber’s AI gold rush risks a connection drop
In search of AI-related profits, investors flocked to fiber cables, but there are worrying signals on the horizon.
Data standardization key to unlocking AI’s full potential in private markets
As private markets continue to grow, fund managers are increasingly turning to AI to improve efficiency and free up time for higher-value work. Yet fragmented data remains a major obstacle.
Digital employees have BNY talking a new language
Julie Gerdeman, head of BNY’s data and analytics team, explains how the bank’s new operating model allows for quicker AI experimentation and development.