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Security of Data is Paramount

Traffik Analysis Hub runs in a secure cloud environment with access for authenticated members only, into which they can upload non-personal data related to human trafficking. This allows analysts to draw from a rich pool of data and more easily identify trafficking patterns, networks and hotspots.

Step 1: Data Collection

Authenticated partners are able to upload data from a large variety of sources. In addition, instructed open-sources data is ingested at scale - including thousands of publicly available newsfeeds.

Step 2: Data Sorting and Processing

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

Step 3: Analysis and Outputs

With the data from all sources on the platform aggregated, structured and linked, the initially disparate datasets are transformed into a common actional information pool (a "data lake"). As the TA Hub developed, complex data will be used to create actionable data visualisation (i.e. graphs or tables) and analatyic outputs with supporting interpretive narratives.

Step 4: Use and Impact

Onces the structed and unstructed data has been gathered, processed an analysed with interpretive narrative, partners are able to act on this vital and powerful information to investigate global trafficking activity.

How it Works

The Traffik Analysis Hub (TA Hub)  programme is an impactful collaboration across multiple sectors united by a common goal of preventing human trafficking. At its heart is a suite of technologies developed by IBM and specifically configured to serve the needs of all those with a stake in countering trafficking.

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