Quod’s Medan Gabbay and Ian Mawdsley of Refinitiv discuss and analyze the challenges facing the sell-side, including reducing costs, remote trading, and artificial intelligence (AI) and machine learning (ML).
There is no doubt that financial markets are increasing in complexity. Much of this complexity is fuelled by the digital transformation and adoption of emerging technologies that are at the top of many financial institution’s strategic agendas.
Artificial intelligence (AI) and machine learning (ML) are transforming the e-trading landscape in capital markets. The availability, consistency, and consumption of high-quality data are the foundation of any AI/ML model. But what challenges do these big data themes bring to the industry?