Big Data and Machine Learning

We are dealing with Big Data when due to size or time constraints our existing hardware or software cannot deliver actionable information on time. For example, to identify fraud on the international ATM network requires millions of transactions to be analyzed within minutes.

On the other hand, Machine Learning (ML) is an example of using a bottom-up approach in order to discover patterns within data.

While complementary, Big Data and Machine Learning should not be confused with each other and can be used on their own in a number of cases.

Meta Business Systems has been involved in both areas for over 10 years, long before the terms were coined. Recently we analyzed the email metadata of an organisation with 1,500 employees in order to detect fraudulent activities. The metadata contained only sender, receiver, date and subject of 48,000,000 emails sent/received during a period of 3 years.

Contact us for more information.