Technology

How to successfully mitigate fraud – AI in action

Fraud is evolving, with influences spanning technical sophistication through to turmoil and crisis. Most recently, the Covid-19 pandemic has thrown an additional spanner in the works. As the drivers behind these activities are becoming more varied, the…

Fraud and AML – AI and machine learning done right

What resources does your financial services organisation need to ensure success when it comes to artificial intelligence (AI) and machine learning? Having an appropriate team in place, including domain experts, analysts and data engineers is a great…

Successfully moving risk software to the cloud

Cloud technologies offer numerous benefits over traditional on-premise deployments. While the rate of adoption in the financial services industry was initially slow, banks and asset managers are now embracing these technologies and moving their…

Check mates – AI and the future of KYC

Financial crime prevention is an increasingly complex task for financial services firms. Criminal activities such as money laundering and fraud have rocketed, and the perpetrators are getting smarter. Amid tightening regulation and the threat of…

The advance of analytics

Machine learning is coming to analytics but there are hurdles to overcome first, says Aiman El‑Ramly, chief operations officer at ZE PowerGroup

Making technology count in a C/ETRM world

As businesses grow, so does their need for modern, agile and cost-effective commodity/energy trading risk management (C/ETRM) solutions. Pioneer Solutions explores how its next-generation, highly configurable C/ETRM systems take advantage of the latest…

The RPA revolution

Doug Wendler, chief executive of Machina Automation, explains the increasing popularity and uptake of robotic process automation (RPA), focusing on how it has recently evolved and how it is expected to continue this evolution, and whether RPA’s…

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