Resources and events from the intersection of Capital Markets and AI

Events

Webinars and Conferences

Insights

Blogs and Briefs

Securing Generative AI Models: Understanding Threats and Defenses 

Once-Click Extraction: Precision and Efficiency in Every Trade Request

Learn How ING Automates Sales Trader Workflow (STW) with Sense Street.

Implementing AI in the Enterprise

GenAI will solve bespoke, high-accuracy problems in large enterprises. But this requires continuous curation of proprietary data. Self-evidently, the tech is evolving very fast.

Unlocking the Power of Conversation in Capital Markets

At Sense Street we’re building AI that reconstructs counterparty intentions in all the messiness of financial chat data. But what does this endeavour really involve?

Data Curation for Fine-Tuning Language Models in Capital Markets

Time to put the spotlight on what really drives the success of machine learning models: data curation. Learn how annotations can effectively tackle the unpredictability of the human language.

Making Sense of Chat: GenAI in Capital Markets

We discuss the challenges and opportunities of using chat in Capital Markets, explore the latest techniques for addressing these issues, and share the challenges and solutions we have encountered in implementing production-scale Generative AI models.

Tools in Capital Markets Powered by GenAI

Learn how you can use the data that Sense Street extracts in your workflows and how our platform automates tasks, and provides visibility into trading activities to meet regulatory requirements. It is a great webinar packed with actionable information.

Architectures for the Deployment of GenAI in the Enterprise

In enterprise environments, enhanced security, redundancy, and robustness are crucial for managing high throughput. Learn how to deploy large generative models in these settings while ensuring efficiency and reliability.

Securing Large Generative Models

We'll explore practical steps to safeguard your models, including robust security measures and threat detection, to protect against malicious actors and ensure AI system integrity.