In this video, Tanya Seajay, CEO and founder of Orenda, a SIX company, talks to ESG Insight editor Mark McCord about the need to build trust in ESG investing. While there is no shortage of data, the challenges are in sourcing the right data, managing the data supply chain, delivering transparency, and considering how AI might help. “ESG is too big to fail,” says Seajay, so the time is now to address these issues.
The challenges and opportunities of managing market data using hardware acceleration, a deterministic approach to low latency connectivity and in-memory and other high speed databases. What are industry best practices for access to high-speed market information? How are firms using hardware acceleration? What is a deterministic approach to low latency connectivity and why is it...
Touted as the next frontier of artificial intelligence, agentic AI hogged the data management headlines in 2025. Seemingly ushering the realisation of the no-more-drudge-work predictions that heralded the arrival of general AI years back, agentic AI has certainly become the target of institutional investment and developer innovation in the past 12 months. According to a...
Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.
Data lineage has become a critical concern for data managers in capital markets as it is key to both regulatory compliance and business opportunity. The regulatory requirement for data lineage kicked in with BCBS 239 in 2016 and has since been extended to many other regulations that oblige firms to provide transparency and a data...