Quantexa, a provider of decision intelligence solutions, plans to invest an additional £125 million in AI over the next three years to help clients advance the use of AI to protect, optimise, and grow their organisations. In line with the investment, the company has previewed its generative AI technology, Q Assist, and says it will further develop its AI stack to offer industry-specific use cases for sectors including financial services.
Financial institutions are under pressure to maximise the insight they can derive from their data. With data spread across multiple silos and stored in both structured and unstructured formats, embedding analytics into business processes can be difficult and calls for new approaches to data management. Open source database and data processing technologies, as well as...
The headlong rush to adopt artificial intelligence poses multiple risks to financial institutions that don’t take the necessary preparatory steps before implementation. One potential source is the increasing AI-savviness of company employees. As they become accustomed to using the technology on consumer devices and websites, there is a greater risk they’ll inadvertently leak or compromise...
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...
