A quantitative understanding of tackling wildlife trafficking with United for Wildlife

Quantifind supports the Challengers for Wildlife network’s fight against the wildlife trafficking network by leveraging their risk signal information.

Featured image of Quantifind

Featured image of Quantifind

Featured image of Quantifind

Palo Alto, California, October 13, 2022 (GLOBE NEWSWIRE) – QuantifindA leading provider of open source decision intelligence services in the private sector, it brings collaboration and ethical artificial intelligence to the conservation discussion to implement real solutions.

It lends its technology to United for Wildlife (UfW), a global network of public and private partnerships that facilitates collaboration between the transportation sector, the financial sector and law enforcement to prevent wildlife trafficking around the world.

Quantifind’s risk-focused approach provides a way for the UfW network of conservationists, technologists, engineers and change makers to identify wildlife trafficking for Quantifind’s ethical AI solution. United Partners for Wildlife is working with Quantifind to further expand the definition of wildlife trafficking in Quantifind Library Hazard Card Leverage the Quantifind Graphyte platform to analyze suspicious actors and counterparties.

Signal sharing through collaborative risk card criteria
Hazard cards, as defined in the previous Quantifind Mail, can be tools to facilitate collaboration between industry experts, data scientists, and information consumers to create models that comprehensively identify signals and assess the significance of those risks. These cards help to “scale expertise” by operationally identifying each risk and setting up machine learning models for measurable and validated success. Moreover, the approach goes a long way towards creating a transparent, Responsible approach to artificial intelligence By clearly documenting the definitions of risks that the model targets.

Taking classification and documentation a step further, and integrating this risk chart with a comprehensive knowledge graph that integrates information from a large number of Open Source Intelligence (OSINT) datasets, Quantifind hopes to help partners map and disrupt wildlife trafficking networks around the world.

Quantifind’s Graphyte platform opens up new opportunities for conservation investigations. Open source decision intelligence will lead to faster investigation and prosecution of wildlife traffickers by empowering investigators, law enforcement and private organizations.

The need for intelligent decision-making in memorization
Quantifind can take the definition of risks for trafficking experts and enable them to leverage across the financial services and transportation industry, providing the global scale needed to address the problem.

Although technology is increasingly being used to investigate poaching and the illegal trade in wildlife, the definition of risks and the open source data available are often not shared or investigated. This lack of informational decision making is an impediment to large-scale investigations. Using a global open source archive in Graphyte, investigators can track risk signals in English, French, Spanish, Portuguese, and languages ​​supported by Cyrillic and Chinese character sets.

Quantifind allows investigators, from a field conservation biologist to a Wall Street financial investigation unit, to gain up-to-date insight from open source intelligence. This will also allow members to collaborate with others around the world, no matter where they are located, in identifying specific risks to wildlife, including endangered species and related products.

About Quantifind
Quantifind Graphyte’s AI-powered financial crime automation platform applies comprehensive data coverage, best-in-class risk assessment accuracy, and powerful investigation tools to achieve productivity gains from AML-KYC of over 40%.

Contact Information:
Mike Albanese
mike.albanese@newswire.com

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