The autumn season of 2010 holds the promise of extreme exchange action in the European arena as all of the major incumbent exchanges proceed with major investments in their matching engine, data centre and connectivity infrastructures. Clearly, this has all come in response to the arrival of a glut of multilateral trading facilities (MTFs) since the launch of the most successful of them – Chi-X Europe – back in mid-2007.
Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...
Nearly 60 years ago, Melvin Conway observed that an organisation’s technology will inevitably mirror its internal structure. It’s a law that has aged uncomfortably well in capital markets, where billions spent on trading, risk and analytics systems have produced vertical stacks that reflect business-line org charts rather than the horizontal data flows firms now need...
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...
