GenAI
Hyperscalers to take hits as AI demand overpowers datacenter capacity
The IMD Wrap: Max asks, who’s really raising your datacenter costs? And how can you reduce them?
How a Chinese AI firm shook the tech world
DeepSeek’s AI model is the very ethos of doing what you can with what you have.
To unlock $40T private markets, Hamilton Lane embraced automation
In search of greater transparency and higher quality data, asset managers are taking a tech-first approach to resource gathering in an area that has major data problems.
S&P sees strong demand for GenAI tools as leadership changes hands
The data provider released several AI-enabled tools and augmentations to existing platforms in 2024 and plans to continue to capitalize on the technology in 2025.
DTCC revamps data distribution, collection efforts with cloud, AI
The US clearinghouse is evaluating the possibilities that cloud and AI offer to streamline the processes by which it collects and makes data available to market participants.
We’re running out of datacenters! (But maybe AI can help?)
The IMD Wrap: Datacenter and cloud adoption is being pushed to its limits by AI. Will we simply run out of space and power building AIs before AI figures out how to fix it?
Agentic AI and big questions for the technologists
Waters Wrap: Much the same way that GenAI dominated tech discussions over the last two years, the road ahead will feature a lot of agentic AI talk—and CIOs and CTOs better be prepared.
Bloomberg offers auto-RFQ chat feed—but banks want a bigger prize
Traders hope for unfettered access to IB chat so they can build their own AI-enhanced trading tools
Bloomberg debuts GenAI news summaries
The AI-generated summaries will allow financial professionals to consume more data, faster, officials say.
8 bank CTOs and CDOs sound off on artificial intelligence
Waters Wrap: Last year, WatersTechnology spoke with heads of technology and data from a range of tier-1 banks. Anthony pulls at one common thread from those interviews: AI.
Artificial intelligence, like a CDO, needs to learn from its mistakes
The IMD Wrap: The value of good data professionals isn’t how many things they’ve got right, says Max Bowie, but how many things they got wrong and then fixed.
An inside look: How AI powered innovation in the capital markets in 2024
From generative AI and machine learning to more classical forms of AI, banks, asset managers, exchanges, and vendors looked to large language models, co-pilots, and other tools to drive analytics.
Expanded oversight for tech or a rollback? 2025 set to be big for regulators
From GenAI oversight to DORA and the CAT to off-channel communication, the last 12 months set the stage for larger regulatory conversations in 2025.
Asset manager Saratoga uses AI to accelerate Ridgeline rollout
The tech provider’s AI assistant helps clients summarize research, client interactions, report generation, as well as interact with the Ridgeline platform.
CDOs evolve from traffic cops to purveyors of rocket fuel
As firms start to recognize the inherent value of data, will CDOs—those who safeguard and control access to data—finally get the recognition they deserve?
LSEG rolls out AI-driven collaboration tool, preps Excel tie-in
Nej D’Jelal tells WatersTechnology that the rollout took longer than expected, but more is to come in 2025.
Does TP Icap-AWS deal signal the next stage in financial cloud migration?
The IMD Wrap: Amazon’s deal with TP Icap could have been a simple renewal. Instead, it’s the stepping stone towards cloudifying other marketplace operators—and their clients.
T. Rowe Price’s Tasitsiomi on the pitfalls of data and the allures of AI
The asset manager’s head of AI and investments data science gets candid on the hype around generative AI and data transparency.
Waters Wavelength Ep. 298: GenAI in market data, and everything reference data
Reb is back on the podcast to discuss licensing sticking points for market and reference data.
J&J debuts AI data contracts management tool
J&J’s new GARD service will use AI to help data pros query data contracts and license agreements.
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux