Take a look at the highlights from our recent Data Management Summit in London.
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For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...
The infrastructure that underpins today’s institutional financial markets is being rewired to support instantaneous transactions, always-on operation, hacker-proof privacy, and drastically reduced costs. Platform upgrades that leverage distributed ledger technology (DLT – including blockchain networks, smart contracts and cryptographic proofs), asset programmability via tokenisation, peer-to-peer transactions, and decentralised data, are being implemented to boost functionality,...
Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...