GenAI
Bloomberg rolls out GenAI-powered Document Insights
The data giant’s newest generative AI tool allows analysts to query documents using a natural-language interface.
Waters Wavelength Ep. 310: SigTech’s Bin Ren
This week, SigTech’s CEO Bin Ren joins Eliot to discuss GenAI’s progress since ChatGPT’s emergence in 2022, agentic AI, and challenges with regulating AI.
A new data analytics studio born from a large asset manager hits the market
Amundi Asset Management’s tech arm is commercializing a tool that has 500 users at the buy-side firm.
Microsoft exec: ‘Generative AI is completely passé. This is the year of agentic AI’
Microsoft’s Symon Garfield said that AI advancements are prompting financial services firms to change their approach to integrating AI-powered solutions.
Fitch claims 20% developer productivity boost using AWS GenAI tools
The vendors have expanded an existing deal to include new Amazon tools that have helped Fitch modernize its infrastructure and applications.
Waters Wavelength Ep. 308: Arta Finance’s Caesar Sengupta
Caesar, who previously spent 15 years at Google, joins to discuss Arta’s goal of putting a private banker in everyone’s pockets.
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?
The murky future of buying or building trading technology
Waters Wrap: It’s obvious the buy-v-build debate is changing as AI gets more complex, but Anthony wonders how trading firms will keep up.
For AI’s magic hammer, every problem becomes a nail
A survey by Risk.net finds that banks are embracing a twin-track approach to AI in the front office: productivity tools today; transformation tomorrow.
On GenAI, Citi moves from firm-wide ban to internal roll-out
The bank adopted three specific inward-facing use cases with a unified framework behind 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.