Open-source
IBM’s ‘multi-billion-dollar opportunity’ securing open-source software
In its first three weeks, Lightwell has made 7,500 open-source patches available to clients.
‘The end of the beginning’: Brown Brothers Harriman re-invents itself
Voice of the CDO: Firms who want to use AI successfully better start with their metadata, says BBH’s Mike McGovern and Kevin Welch.
SNB researchers test LLM-based FX trading strategy
Meta’s Llama 3.1 comes out on top at predicting G10 currency sentiment based on news articles.
The industry is not ready for what’s around the corner
Waters Wrap: As cloud usage and AI capabilities continue to evolve (and costs go up), Anthony believes the fintech industry may face a similar predicament to the one facing journalism today.
Agentic AI comes to Bloomberg Terminal via Anthropic protocol
The data giant’s ubiquitous terminal has been slowly opening up for years, but its latest enhancement represents a forward leap in what CTO Shawn Edwards calls, “the way we should talk to the world.”
NY Fed Home Loans Bank spurns multi-cloud model
The cost and complexity of diversifying away from the big three providers outweighs concentration risks.
Investing in the invisible, ING plots a tech renaissance
Voice of the CTO: Less than a year in the job, Daniele Tonella delves into ING’s global data platform, gives his thoughts on the future of Agile development, and talks about the importance of “invisible controls” for tech development.
Study: RAG-based LLMs less safe than non-RAG
Researchers at Bloomberg have found that retrieval-augmented generation is not as safe as once thought. As a result, they put forward a new taxonomy to help firms mitigate AI risk.
DeepSeek success spurs banks to consider do-it-yourself AI
Chinese LLM resets price tag for in-house systems—and could also nudge banks towards open-source models.
Inside the company that helped build China’s equity options market
Fintech firm Bachelier Technology on the challenges of creating a trading platform for China’s unique OTC derivatives market.
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.
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.
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.
Banks seemingly build more than buy, but why?
Waters Wrap: A new report states that banks are increasingly enticed by the idea of building systems in-house, versus being locked into a long-term vendor contract. Anthony explores the reason for this shift.
DORA will change the buy vs. build debate… maybe
Waters Wrap: With DORA’s deadline looming, trading firms are having to reassess their long-term tech strategies. Anthony wonders if that means more building and less buying.
Kepler Cheuvreux builds proprietary execution platform with Adaptive
The broker wants to move away from third-party technologies as DORA’s risk management requirements could make vendor relationships more cumbersome.
JP Morgan’s goal of STP in loans materializes on Versana’s platform
The accomplishment highlights the budding digitization of private credit, though it’s still a long road ahead.
Regulators recommend Figi over Cusip, Isin for reporting in FDTA proposal
Another contentious battle in the world of identifiers pits the Figi against Cusip and the Isin, with regulators including the Fed, the SEC, and the CFTC so far backing the Figi.
Déjà vu for common domain model
Piecemeal progress on ambitious derivatives data standard raises questions over business case
Ace high or busted flush? Digital Asset’s mixed fortunes mirror DLT adversity
The vendor hoped to remodel post-trade using blockchain technology—and it still might—but its bumpy progress raises questions over the future of DLT in finance.
Natixis refines in-house interoperability model
The French asset manager has refined its canonical data model over the last decade, as the interoperability movement continues to evolve.