The finance sector stands on the brink of an explosion in front-to-back office uses of artificial intelligence and machine learning for the benefit of clients and investors, writes for Mike O’Hara from The Realization Group for Tabb Forum.
Sybenetix’s propriety Behaviourial Analytics Model combined with flexible, immediate access by firms is cited as an example of the ‘high-density compute power’ that is becoming business-critical. “We must process data on demand at critical points in decision making for compliance and investment managers, so we need compute power on demand,” says Taras Chaban, CEO of Sybenetix. “Our compute capacity is heavily parallelized, because we need to be able to analyze the performance and decisions of portfolio managers separately and independently. Moreover, it’s not a matter of constant data processing at a steady rate; we need to process in bursts, then the models need to update themselves,” He continues.
The article states that financial market participants are turning to the more cost-effective harnessing of compute power, due to the finance sector’s growing dependence on analysis and interpretation of large datasets to deliver improved outcomes for clients and investors.
To this end, the data management and compute power demands of large-scale artificial intelligence and machine-learning (AI/ML) programs require buy and sell-side firms to fundamentally reappraise their existing technology capabilities, writes Mike O’Hara. You can ready the full article here at Tabb Forum.