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How a robot investigator searched 60 million files - BBC News
Jan 19, 2021 1 min, 17 secs
Technology of Business reporter.

Imagine having to search through all the documents, emails and messages of a huge multinational company.

Ms Khalil works for FRA, a forensic investigation business that supports legal cases across the globe.

Ms Khalil and a 70-strong team faced an ocean of files, transaction data and emails spanning worldwide activities, most of them entirely innocuous.

A daunting collection of 500 million documents and transactions had to be whittled down.

After duplicates and other irrelevant material were eliminated the investigators were left with 60 million documents for review?

More Technology of Business.

"No business is ever really ready for a full forensic investigation," Ms Khalil says, but her co-workers from Airbus were very responsive.

As if 60 million items were not enough of a challenge, 800 Airbus employees around the world were legally assigned as custodians of those documents.

We had to identify who was the custodian of that data," says Greg Mason, founding partner and co-head of data analytics at FRA.

These allowed documents to be examined in complete security, a crucial point for Airbus.

Processing a mountain of data gets easier and faster if it's treated as just that - data.

AI was trained to search unstructured data such as emails.

This meant it could wade through unstructured data and spot corrupt practices.

Mr Mason reckons only about 5% of the documents set aside were checked by people, but that still amounts to three million files.

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