Fight back against sophisticated money launderers with these 3 techniques.
Tag: predictive modeling
A note from Udo Sglavo: In Digital transformation, scientific computing, and peace of mind, I mention that the COVID-19 pandemic is paralyzing the world. However, new challenges are also inspiring new ideas to tackle those challenges. We might ask questions about what is causal in nature, trying to figure out
This is the third of the seven parts of blog post series “A practical guide to tackle auto insurance fraud”. In the first two articles of the series we drilled down to Data Management and Data Quality as the basis for insurance fraud detection analytics and also to the Business
“And the weather yesterday was a sunny 18oC with warm spells in the south and showers in the north. This is similar to the pattern we saw last Thursday.” Imagine if the weather forecast only restated what happened in the past -- would we bother waiting until the end of
Hatten Sie auch bei dem von „Q“ verwendeten Begriff „Smart Blood“ während der Injektion der Nanoteilchen in Bond’s Blutbahn sofort ein völlig neues Feld für interessante Use Cases im Bereich der menschlichen Sensortechnik vor Augen? Ob 007 wohl klar ist, was der MI6 mit den so gewonnenen Informationen über die
Machine learning is moving into the mainstream. Once the sole purview of academic researchers and advanced technology firms, machine learning is now being is used by many companies in more traditional industry verticals. Machine learning uses mathematical (not necessarily statistical) models to learn about data. In this context, learning about
It’s been very hot here in Northern Italy: electricity provision has struggled to keep up and we’ve had frequent power outages in the area, even within our apartment building. A bit inconvenient? Don’t get me started. I feel like my home appliances have turned against me, taking me back to
There is no doubt that analytics is an overused and often abused term. So what does really analytics means? In part 2 of a series of articles on the analytical lifecycle, this blog will highlight some of the common and emerging techniques used to analyze data and build predictive models
When it comes to fraud detection and risk mitigation, predictive modeling has earned a reputation as the “heavy hitter” in the realm of data analytics. As our celebration of International Fraud Awareness Week continues, I would challenge our readers to ask themselves this question, “Is the reliance upon predictive analytics
Another day, another scam defrauding insurers and governments. For purposes of full disclosure, the case I'm highlighting today comes from Washington's Labor and Industries (L&I), the agency where I formerly worked and headed up fraud prevention efforts, and the investigation dates back to my time there. During my time there,
Sometimes, it is good to start with a confession. I filed my taxes at the last minute. It was past time to get some money back from the IRS before they could waste $60,000 on another Star Trek spoof video. Normally I'm one of those people that files in February,
Personally, I love studies. They help put things into context, and when done well, provide an independent and hopefully unbiased view of the forces that shape our lives. They are also a great way to see government funds used in strange ways. For example, the new NIOSH (National Institute for
Watching our nation approach the "fiscal cliff", and the dire predictions if we truly drive off it like the last scene in Thelma and Louise, has sharpened my view of the potential risks that huge gaps of fraud and abuse present to all of us. One of the key lessons
David Loshin's latest blog post: "Monitoring for Event Patterns."