Watch On-Demand

Powering a New Era in AML with X-Sight DataIQ

On-Demand Webinar

Today’s Anti-Money Laundering (AML) teams are becoming increasingly pressured as the financial services industry is transformed by the growing wave of digitalization (a trend that's been accelerated more recently by COVID-19). With better technology, innovative products and channels have arrived, as well as changing expectations in customer behaviors – and it’s presented the criminals with newer means to operate and expand their risky business. As a result, transaction volumes are growing and your organization is expected to onboard customers more quickly, transfer funds faster, and tackle new evolving risks while preventing a growing backlog.

In his recent whitepaper, Arin Ray from Celent shares how traditional technology used in AML programs is proving inadequate in responding to modern-day challenges. He also discusses how financial services organizations are exploring new technologies such as artificial learning and machine learning to improve efficiency and effectiveness of AML programs. When applying these new techniques, data is the most critical foundational component. But data has been underutilized because FSOs struggle with common data management challenges that are exacerbated by growing volume and speed of transactions. Regulatory scrutiny on model risk management is forcing a re-think in approaches to data management and many are taking this opportunity to usher in changes that break down data silos and simplify data architecture.

  • Read the industry report, from NICE Actimize and Celent, to gain expert insights on a new era in AML revolving around data and advanced analytics. See how high-quality data coupled with modern analytical tools can significantly elevate and accelerate KYC-AML processes across the board.
  • Watch the on-demand webinar , from NICE Actimize and Celent, to see how high-quality data coupled with modern analytical tools can significantly elevate and accelerate KYC-AML processes across the board.
Learning outcomes:
  • Tackling new AML risks emerging from a rapidly changing ecosystem
  • Why data serves as the foundation of today's AML programs
  • Improving KYC-AML effectiveness with better data and advanced analytics
  • How high quality data fuels AI and machine learning techniques
On-demand webinar speakers:
  • Arin Ray, Senior Analyst, Risk and Compliance | Celent
  • Ted Sausen, Subject Matter Expert, Anti-Money Laundering | NICE Actimize
  • Anne Liegel, Sr. Product Marketing Manager, Anti-Money Laundering | NICE Actimize

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Available on-demand here

Speakers: Vikas Agarwal, Partner, Financial Services Advisory Practice | PwC
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新しいAIツールを使用してAMLを改善し、効率を向上させるには

Based on Aite Group’s latest research reports, learn about the CARES Act, its impact on financial crime risk management, as well as challenges and opportunities for financial institutions.

Available on-demand here

Speakers: David O’Connell and Trace Fooshee | Aite Group
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オンデマンドウェビナー

AMLコンプライアンスチームが、検知とワークフローを改善するためにAIや機械学習などのテクノロジーを導入する必要があることは周知の事実です。AIとエキスパートモデルは、バックログを削減し効率を高める強力なAMLプログラムの基盤となります。
このRisk.netとの合同ウェビナーでは、以下のことを学ぶことができます。
  • 業界全体を視野に入れた集合的なインテリジェンスの活用
  • 新しいポリシーとルール変更によるクライアントプロファイルへの影響分析
  • 機械学習に基づくセグメンテーションでアラートの質を高める方法
  • 煩雑なデータ移行プロジェクトを行わずにチューニング頻度を増やす
  • 自動アラートトリアージプロセスでアラート量を削減顧客の活動がリスクを高めるまでアラートを休止状態にする

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Based on Aite Group’s latest research reports, learn about the CARES Act, its impact on financial crime risk management, as well as challenges and opportunities for financial institutions.

Available on-demand here

Speakers: David O’Connell and Trace Fooshee | Aite Group
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In this interactive discussion, hear PwC and NICE Actimize experts discuss challenges for financial services organizations and why you need to look at controls differently.

Available on-demand here

Speakers: Vikas Agarwal, Partner, Financial Services Advisory Practice | PwC