Provided by
NAVEX2024-05-02T01:46:00
A new survey conducted by Compliance Week and NAVEX on compliance team access to data and the use of artificial intelligence (AI) to analyze it found many compliance professionals lack full and transparent access to their firm’s data.
The survey also indicated compliance teams lack the confidence to use data analytics tools on what they perceive as partial data and are apprehensive about applying AI tools to compliance tasks.
This report will address:
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Artificial intelligence is no longer limited to generating insights or supporting analysis. With every passing day, AI systems are being designed to initiate actions, trigger workflows, and influence outcomes with minimal human intervention.
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The U.S. Department of Justice touted a record $6.8 billion in False Claims Act (FCA) recoveries in fiscal year 2025, much of that total stems from prior years’ cases and does not necessarily reflect the administration’s current enforcement direction.
2026-02-26T14:00:00Z Provided by konaAI
In this webcast, we will break down the survey results to reveal how compliance teams are using AI today, the benefits and risks they are experiencing, and where future opportunities are taking shape.
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As companies push employees to use Artificial Intelligence tools to boost efficiency, many organizations are encountering challenges in implementing the technology. A new Compliance Week and konaAI survey found that the most common obstacles were practical and operational issues tied to existing compliance infrastructure.
2026-01-24T00:09:00Z By Adrianne Appel
More than 83 percent of respondents to a new Compliance Week and konaAI survey report using artificial intelligence (AI) but only about 25 percent say their organizations have implemented a strong governance framework.
2026-01-15T19:17:00Z Provided by GAN Integrity
Compliance and risk professionals surveyed about their third-party due diligence programs report growing strain as organizations manage larger vendor ecosystems with limited resources and rising regulatory expectations.
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