The Gensler administration has ruffled feathers in the broker-dealer community with a new proposal seeking to limit their use of predictive data analytics. But at the heart of this deal is something far more seismic: one of the first attempts by the SEC to regulate AI.
The new tool is the culmination of integrating recent acquisitions, including IHS Markit, ChartIQ and Kensho.
The capital markets landscape is witnessing a technological revolution – a wave transforming the sell-side FX front office. Firms such as smartTrade Technologies are at the forefront of this transformation, leveraging technologies such as artificial…
David Hardoon returns to talk about the field of language and how it’s the ‘heart and soul’ of artificial intelligence.
Execs from Amazon, Google and IBM explain their capital markets strategy when it comes to rolling out new AI tools.
The cloud data platform provider continues to make investments in data quality and cleansing.
The bot is trained using financial and ESG data, but won’t replace humans—yet—says the firm.
Tech giant’s cloud computing arm grew customer base in Q2 despite cost-cutting among users
Amazon, Google, IBM and Microsoft aren't just cloud providers anymore—and their tentacles are going to spread deep into trading systems going forward.
Satya Nadella and Sundar Pichai both touted the advancements their respective companies have made in the field of generative AI during their earnings calls.
For future analytics enhancements, the vendor will also lean into large language models and generative AI.
Barron-DiCamillo also urges regulators to work with industry best practice, not against it
The fixed-income trading provider’s Adaptive Auto-X automation tool and new data offerings were a bright spot amid lackluster Q2 earnings.
Although Q2 revenue was flat year-on-year, it was buoyed by IBM’s hybrid cloud and AI strategy. The tech giant will build up its AI capabilities similarly to how it’s dealt with Red Hat OpenShift.
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…
Generative AI has plenty of uses in finance, but banks must first overcome compliance headaches
Automation is gaining traction in fixed-income markets, but use cases are limited and progress is slow. Market participants must overcome some uniquely human problems before they fully embrace the machine.
A summary of the latest financial technology news.
While large language models are likely to proliferate, those that can develop a solid data infrastructure of taxonomies, ontologies, data sourcing, mapping and lineage will be the ultimate winners, Anthony says.
MarketAxess won the best AI/machine learning data initiative in this year’s Inside Market Data & Inside Reference Data Awards, thanks to its CP+ bond pricing engine.
A new whitepaper from Google finds that existing guidance on the use of AI and ML models for risk management is a start, but leaves room for improvement.
Open-source wrappers like MLflow, though useful and popular, highlight the risks hidden beneath these models.
The regulator is concerned that rapid AI adoption will favor incumbent vendors; it aims to launch a sandbox.
In the wake of the Ion hack, regulators are pushing for firms to beef up their cyber defenses. Anthony says that they'll need to mind their words and tread carefully, as cloud, machine learning and open source take off.