The data provider is utilizing generative AI and large language models to provide a conversational interface in FactSet Workstation that will complement AI-powered workflows and products.
LTX has pinned its hopes of breaking into the fixed-income market on innovative use of AI. But how successful has its approach been, and what is it up against?
It’s been two years since IBM’s pivot to a hybrid cloud and AI strategy, and the tech giant saw strong earnings as it continues to invest in the watsonx platform.
The bank spent the last three years evolving and expanding LiquidityDirect to include additional asset classes, and will white label the platform to customers.
The offering will run eastward, connecting routes in the US with European markets in London, Frankfurt, and Bergamo.
Three years after laying out its cloud roadmap, the vendor is still pushing ahead with the Genesis platform as the foundation.
Execs from Amazon, Google and IBM explain their capital markets strategy when it comes to rolling out new AI tools.
The CEI aims to bring interoperability to loan trading, but it’s entering a market dominated by a long-standing incumbent.
Tech giant’s cloud computing arm grew customer base in Q2 despite cost-cutting among users
Through a combination of its own technology and partnerships with fixed-income mainstays Bloomberg and Tradeweb, S&P is looking to create end-to-end workflows to simplify trading of primary bond issues for both buy-side and sell-side firms.
In what CEO Billy Hult described as a “challenging backdrop” for the quarter, the marketplace operator is looking ahead on acquisitions, automation and a widening pool of market-makers.
Satya Nadella and Sundar Pichai both touted the advancements their respective companies have made in the field of generative AI during their earnings calls.
The fixed-income trading provider’s Adaptive Auto-X automation tool and new data offerings were a bright spot amid lackluster Q2 earnings.
AI is having a moment, and data vendors and software providers are seizing on it. Some are building models in-house, while others are looking to third parties to power their strategies—but the focus is largely on productivity and faster data access…
Open-source wrappers like MLflow, though useful and popular, highlight the risks hidden beneath these models.
Financial firms can’t afford to treat data governance as a one-off, check-the-box exercise. Instead, senior data management execs say, it should be treated as an ongoing series of regular health checks.
With electronification and tech development increasing in fixed income, participants are looking for better data access in the primary market for corporate bonds.
Wei-Shen, Reb and Nyela invade London for a week!
Capital markets are no strangers to hype machines. Among the buzz around generative AI, Nyela wonders who will be best suited to take advantage of the technology and deliver the right use cases to Wall Street.
The combined entity will look to tap into AI tools provided by S&P’s Kensho outfit and AWS’ cloud to build new analytics platforms.
As large language models that underpin the likes of ChatGPT and Bard come to market, vendors and trading firms are starting to see the benefits—and challenges—that open APIs provide.