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How it works

The Traffik Analysis Hub (TA Hub) program is an impactful collaboration across multiple sectors united by a common goal in preventing human trafficking and the damage it does to humanity.

Video: Overview of Traffik Analysis Hub

What is the Traffik Analysis Hub?

The Traffik Analysis Hub (TA Hub) is a revolutionary partnership across industries and sectors including financial institutions, NGOs, law enforcement and government agencies

All unified by the common goal of sharing data to stop human trafficking. Now live and operational, using advanced cognitive technologies developed by IBM, the TA Hub partners gather information and share highly accessible analysis of human trafficking drawing on over 300,000 records, as part of their day- to-day business. IBM uses AI technology to quickly analyze and process volumes of data from a variety of sources; while ensuring its security and integrity.

The data hub is a crucial development in the fight against human trafficking, and builds on IBM’s longstanding commitment to help combat the issue.”
Guillermo MirandaGlobal Head of IBM Corporate Social Responsibility

How it Works

Across the globe we work in silos and fear that sharing anything breaches data privacy, and thus we impede the effort to stop human trafficking.

But, the TA Hub platform has changed this; it enables partners to combine data from many sources and formats, allowing analysts to draw on an even richer pool of data than ever before. Analysts are better able to identify trafficking patterns, networks and hotspots and focus the right anti-trafficking resources, in the right way.

The platform is hosted in a secure IBM Cloud environment and uses the highly advanced technologies of IBM Watson Artificial Intelligence (AI), machine learning, data visualization, and data analytics, using a wide range of open source data to augment manually curated data from the programme partners.

The TA Hub's highly accessible visual analysis tools can change the paradigm for many participants, offering valuable context and background.

Security of Data is Paramount

Authenticated partners are able to upload data from a large variety of sources. In addition, unstructured open-source data is ingested at scale – including thousands of publicly available news feeds.

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    Step 1: Data Collection

    Authenticated partners are able to upload data from a large variety of sources. In addition, unstructured open-source data is ingested at scale – including thousands of publicly available news feeds.

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    Step 2: Data Sorting & Processing

    Using IBM Watson - AI, machine learning, and natural language recognition - an intelligent "golden tagging" schema is applied to the data. In addition, the TA Hub solution is trained to recognize terms and incidents related to human trafficking in the unstructured content, and structure it along the golden tags schema. This allows for consistent formatting, analysis and outputs.

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    Step 3: Analysis & Outputs

    With the data from all sources on the platform aggregated, structured and linked, the initially disparate datasets are transformed into a common actionable information pool (a “data lake”). As the TA Hub develops, complex data will be used to create actionable data visualization (ie. graphs or tables) and analytic outputs with supporting interpretive narratives.

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    Step 4: Use & Impact

    Once the structured and unstructured data has been gathered, processed, and analyzed with interpretive narratives, partners are able to act on this vital and powerful information to investigate global trafficking activity.

Join Us

Because we are at a time in history where working together on a global level is not just possible, it’s an imperative

By joining us, we can have a deeply powerful impact; more powerful than by working alone. This is your chance to be part of history and finally put an end to trafficking.

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