Take a look at the highlights from our recent Data Management Summit in London.
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Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...
Artificial intelligence has made it possible to extract critical data from unstructured sources at speed and at scale. But the headlong rush to adopt the sorts of tools that can mine this rich vein of information is exposing organisations to new risks. Generative AI, whose models are commonly applied to trawling PDFs, emails, financial reports...
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.
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...