Training Webinar
Online 1 ACAMS Credit

Collective Intelligence: Moving Beyond Data Silos

May 26, 2026 / 2PM–3PM GMT
Log in or Create Account
This is a free webinar, please log in to get access and register.

Overview

Financial crime networks don’t respect organizational boundaries — yet our data often does. In this webinar, we explore how collective intelligence can move the industry beyond isolated data silos and toward a more holistic network view of risk. We’ll examine today’s patchwork of information sharing models — from private consortia and bilateral collaboration to emerging public-private initiatives — and how regulatory momentum (PSD3, the AML Regulation, and evolving payment services oversight) is reshaping what “good” looks like. We will discuss the practical path to a true network view: what can be shared, with whom, and under what governance; and whether the future is dependency on consortia, an evolution of mandated ecosystems, or a hybrid that blends public data with privacy-preserving private collaboration. We’ll close with a risk versus reward lens to help teams decide when the problem is material enough to require investment and how to design controls that mitigate financial crime risk without unnecessary “gold plating.”

All ACAMS webinars are available with live, AI-powered translation for audio and captions in more than 60 languages.

1
1 ACAMS Credit

Learning Objectives

Identify the main barriers created by siloed data and compare key data sharing modalities (consortia, bilateral collaboration, and public-private initiatives) that enable faster, more connected financial crime detection and investigation

Explain how PSD3, AMLR, and PSR expectations — alongside privacy, data sovereignty, and governance constraints — are influencing what can be shared across EMEA and what a “holistic network view” could realistically entail

Apply a decision framework to choose among building/using a consortium, waiting for ecosystem mandates to mature, or adopting a hybrid approach — balancing risk appetite, measurable benefit, and proportional controls

Sponsors

Topics

  • Money Laundering Typologies
  • Terrorism Financing
  • Fraud Typologies
  • Scams
  • Fraud Risks and Controls
  • Human trafficking
  • LLM and Generative AI
  • Machine Learning
  • Agentic AI
  • Anti-Money Laundering and Countering the Finance of Terrorism
  • Fraud
  • Modern Slavery
  • Other Predicate Crimes
  • Artificial Intelligence
  • Technology

Industries

  • Banks
  • Financial Services

Regions

  • Europe and Central Asia
  • Jurisdictions

Level

  • Intermediate

Pricing

Log in or Create Account
This is a free webinar, please log in to get access and register.