NICE Actimize
Conduct risk: be proactive, stay ahead
As concerns around conduct risk abound, firms need to arm up and tighten surveillance to stay ahead. Lee Garf, general manager at NICE Actimize, explains why market abuse remains the biggest risk to financial markets firms today
Staying ahead of financial crime: powered by the cloud
A webinar exploring how to safeguard your institution and customers from financial crime with the speed and agility of the cloud
Moving targets: the new rules of conduct risk
How are capital markets firms adapting their approaches to monitoring and managing conduct risk following the Covid‑19 pandemic? In a Risk.net webinar in association with NICE Actimize, the panel discusses changing regulatory requirements, the essentials…
Moonshots and machines: can AI solve the problems of fincrime?
New technologies such as artificial intelligence (AI) and machine learning promise much in the battle against financial crime, but where are these solutions best deployed? A panel of anti-money laundering and analytics professionals convened for a Risk…
Establishing an effective conduct risk framework
The stakes have never been higher when it comes to conduct risk. Regulators now look to hold senior managers personally liable for the misconduct of their employee populations and, with teams more globally dispersed, managing conduct and culture is more…
Asia Risk Awards 2021
All the winners of this year's Asia Risk Awards and Technology Awards
Fighting financial fraud with AI
Risk and compliance professionals convened for a Risk.net webinar, How to successfully mitigate fraud – AI in action, in association with NICE Actimize to debate the use of artificial intelligence in the fight against fraud
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…
A risk-based approach to AML and financial crime risk in Asia‑Pacific
Financial institutions across Asia‑Pacific are grappling with fast-changing risks and digital transformation in their efforts against money launderers and financial criminals. Risk.net hosted a webinar in association with NICE Actimize to discuss the…
Managing AML and fraud – A risky business needs a risk-based approach
Financial services organisations (FSOs) are expected to meet strict financial crime regulations regardless of their size, and those with smaller budgets and fewer resources are finding this increasingly difficult as regulations, guidelines and threats…
Rethinking compliance – New approaches to conduct risk and surveillance
Improper behaviour by employees of a financial institution that has the potential to contribute to market instability – known as conduct risk – can have severe financial, regulatory, legal and reputational ramifications. This Risk.net webinar, in…
Driving anti-money laundering efficiency gains using artificial intelligence
Anti-money laundering (AML) is expensive and labour-intensive, and artificial intelligence (AI) can offer improved efficiency gains. Could they be a match made in heaven? This Risk.net webinar, in association with NICE Actimize, took place amid the…
Risk Technology Awards 2020 – Coping with Covid uncertainty
Scenarios scrapped, rules revised and holes plugged – how the winners of the Risk Technology Awards 2020 are adjusting to the Covid‑19 pandemic
Adopting a risk-based approach to AML and financial crime management
This webinar explores risk management strategies to develop an effective anti-money laundering (AML) and financial crime programme, and addresses the unprecedented challenges of Covid-19 and how they will impact AML systems, combating the financing of…
Managing AML and fraud – A risky business requires a risk-based approach
This webinar explores how to meet AML and fraud management obligations while empowering core businesses to remain competitive and innovative
Machine learning in fraud analytics to combat financial crime – Getting it right
Risk and compliance professionals gathered for a Risk.net webinar in association with NICE Actimize to consider the challenges and opportunities of successfully harnessing artificial intelligence in the fight against financial criminals
Rethinking compliance – New approaches to conduct risk and surveillance in 2020
Risk.net's annual Top 10 Operational Risks Survey found that conduct risk ranked among the most pressing issues keeping operational risk professionals awake at night. With an emphasis on reducing costs, firms are required to employ data within their…
Using new AI tools to improve anti-money laundering and drive efficiency
This webinar explores how the marriage of AI and expert models lays the groundwork for a strong AML programme foundation that eliminates backlogs and creates efficiencies
Machine learning in fraud analytics – Getting it right
Over the past couple of years, financial institutions have made significant achievements in the fight against fraud by embracing machine learning analytics and advanced artificial intelligence
Deploying agile analytics in the fight against fraud
Financial firms are under pressure to tackle the widespread problem of financial fraud. As the speed, scale and sophistication of fraudulent activity grows, a panel of financial crime experts reveal how firms can develop an agile analytics capability to…