AI-enabled technology to automate third party risk intelligence collection and to identify and contextualise opportunity
As we addressed in our latest adverse media post, there is an array of categories—and subcategories— of negative news screening that need to be properly screened for accurate and relevant results. But how do people look for and analyse adverse media in foreign languages? And why is this still so difficult?
Read MoreOn 1st December 2022, the Wolfsberg Group published its Principles for Using Artificial Intelligence and Machine Learning in Financial Crime Compliance. It is a welcome piece of commentary and advice and is inline with our thinking at smartKYC.
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We have won the award for ‘Best Proposition for AI, Machine Learning’ at the Data Management Insight Europe Awards!
We have won the award for ‘Best Financial Crime Solution’ at the RegTech Insight APAC Awards!
It is well known that ‘adverse media’ screening is the process of searching for negative news and other data sources about an individual or company for due diligence purposes.
We have won the award for ‘Best Financial Crime Solution’ at the RegTech Insight USA Awards!
In this final article, we share our last set of best practices for Adverse Media Screening, a tool increasingly important for individuals and companies in monitoring online news and media.
We are honoured to announce we have won the award for Best ESG KYC surveillance provider at the ESG Insight Awards 2022!
smartKYC’s contribution to the due diligence industry results in awards across several disciplines, including technology, AI and ESG.
We are honoured to be finalists in the Computing AI & Machine Learning Awards again this year in the categories of ‘The Most Innovative Use of AI’ and ‘Explainable AI Award.’ These prestigious awards ‘recognise the best companies, individuals and projects in the AI space today.’
Dispelling The Fog & Mystique Surrounding AI
Financial institutions face the challenges of achieving seamless client onboarding and ever evolving regulatory hurdles due to huge work loads, expensive staffing costs and inefficiencies caused by outdated processes and human error.