large language models
Tokenization & Private Markets: Where mixed data finds a needed partner?
Waters Wrap: Reading the tea leaves, Anthony predicts BlackRock’s Preqin deal, Securitize’s IPO, and numerous public comments from industry leaders are just the tip of the iceberg.
Is market data compliance too complex for AI?
The IMD Wrap: Reb looks at two recent studies and an article by CJC, which cast doubt on AI’s ability to manage complexity.
New GPU indexes to provide transparency into AI compute
Silicon Data, a company backed by DRW and Jump Trading, has launched its H100 and A100 indexes, providing transparency into the economics of AI compute.
Trust though transparency: The need for explainable AI
In this guest column, Broadridge’s Mary Beth Sweeney tells the story of BondGPT’s creation and the company’s endeavor to ensure that any user inquiries are met with traceable answers from the service.
M&G Investments replaces research platform with Bloomberg’s RMS
The chief investment officer of the London-based asset manager explains why the firm opted to use Bloomberg’s RMS platform for its research capabilities.
BlueMatrix acquires FactSet’s RMS Partners platform
This is the third acquisition BlueMatrix has made this year.
Wall Street hesitates on synthetic data as AI push gathers steam
Deutsche Bank and JP Morgan have differing opinions on the use of synthetic data to train LLMs.
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.
Waters Wavelength Ep. 329: LLMs and the dead internet theory
This week, Reb and Tony talk about the internet and the problems compounded by AI.
The great disappearing internet—and what it could mean for your LLM
AI-generated content, bots, disinfo, ads, and censorship are killing the internet. As more of life continues to happen online, we might consider whether we’re building castles atop a rotting foundation.
Northern Trust Asset Management enlists network theory to construct alpha signals
The $1.3 trillion asset manager will publish a paper later this year detailing how measuring network effects helps it better understand persistent drivers in trends.
Generative AI brings testing times for modelers
Flagstar’s lead model validator offers some tips for safely integrating LLMs into risk models.
Waters Wavelength Ep. 326: Connectifi’s Nick Kolba
He joins the podcast to discuss the model context protocol, LLMs and agentic AI.
S&P Global details AI partnerships, LLM advancements
The data provider has partnered with Microsoft and Anthropic to use hyperscaler tech to boost its AI offerings.
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.
Academic warns of systemic risk from AI-powered trading
Strategies generated by LLMs exhibit “very strange, correlated trading behavior”, says Lopez Lira.
The Model Context Protocol brings agents to life—along with risk
Waters Wrap: From chat to infrastructure modernization, Anthropic’s MCP offers a ‘bridge’ to agentic AI, but its early days may prove disillusioning.
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.”
Deutsche Bank casts a cautious eye towards agentic AI
“An AI worker is something that is really buildable,” says innovation and AI head
LLMs are making alternative datasets ‘fuzzy’
Waters Wrap: While large language models and generative/agentic AI offer an endless amount of opportunity, they are also exposing unforeseen risks and challenges.
Perceive, reason, act: Agentic AI, graph tech used to assess risk
Industry executive Jay Krish is experimenting with large language models to help PMs monitor for risk.