Although procurement fraud is always a critical problem in almost every free market, audit departments still have a strong reliance on reporting from informed sources when detecting them. With our generous cooperator, SF Express, sharing the access to the database related with procurements took place from 2015 to 2017 in their company, our team studies how machine learning techniques could help with the audition of one of the most profound crime among current chinese market, namely procurement frauds. By representing each procurement event as 9 specific features, we construct neural network models to identify suspicious procurements and classify their fraud types. Through testing our models over 50000 samples collected from the procurement database, we have proven that such models -- despite having space for improvements -- are useful in detecting procurement frauds.

Fake video and audio streams that appear to be real can ruin the reputations of your executives and your company. They can cost you money. They can even cost you your job. Fortunately, there are steps you can take that can help. If you're at all familiar with the term "deep fake" you probably think about it in terms of fake videos about celebrities or politicians where they're already being used as parts of disinformation campaigns.

Analytics is a game-changer in detecting procurement fraud. It is by far the most efficient way of doing so.

Contrary to envisaged fears that emerging technology like Artificial Intelligence (AI) will put a lot of humans out of jobs, SAS, a global technology solution company has said the computerised system if well applied, will create more jobs and help improve human efficiency, using data analytics. The information on the role of AI in business growth was revealed at the SAS Road to Digital Transformation and Artificial Intelligence Workshop, which held in Lagos on Tuesday. Senior Business Solution Manager, Advanced Analytics and AI at SAS, Mr. Larry Orimoloye, argued that emerging technology like AI was actually transforming businesses creating more jobs and enhancing business efficiency. According to him, in a customer operation centre where humans are responding to customers' complaints, a lot of training and investment are being put into in to enable the staff respond accurately to customers' needs and challenges. However, he pointed out that this is something that machines like robots can easily do because they have been programmed to do so and they have the intelligence to it accurately.