BLECKWEN BLOG

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26 June 2019

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by: d.leriche

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Categories: Uncategorized

Bleckwen raises $10m and appoints David Christie as CEO   Backed by leading international investors, the company will focus on its global expansion plans and enhancing its award-winning AI-based fraud detection platform   London, 26th June 2019: Bleckwen, a provider of real-time analytics software for fraud detection & prevention in payments, has come out of […]

1_ Introduction   Interpretable, or Explainable, Artificial Intelligence (“AI”) has turned into an important topic for those software vendors and users in today business world working within the space. As AI has increasing impact on day to day activities; trust, transparency, liability and auditability have become prerequisites for any project deployed at a large scale. […]

Bleckwen were delighted to participate and contribute at what was a fascinating and high energy event in London this week. During two days filled with presentations and panel discussions, a wide-ranging audience discussed the rapidly moving developments across technology landscapes, regulatory topics, debating the psychology of crime and, of course, looking into evolving criminal strategies. […]

3 December 2018

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by: d.leriche

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Categories: Uncategorized

  In the previous article, we explained why the interpretability of machine learning models is an important factor in the adoption of AI in industries, and more specifically in fraud detection. (https://www.bleckwen.ai/2017/09/06/interpretable-machine-learning-in-fraud-prevention/ ). In this article, we’re going to explain how LIME works. It’s an intuitive technique that we have tested at Bleckwen. Before looking […]

24 July 2018

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by: d.leriche

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Categories: Uncategorized

At Bleckwen we love reading books! For your summer break, we’ve compiled this list our favourite AI books. We are happy to share it with you. Enjoy!   WEAPONS OF MATH DESTRUCTION Author: Cathy O’Neil Cathy O’Neil (a Harvard PhD graduate in mathematics) has worked as a professor, hedge-fund analyst and data scientist. She founded ORCAA, […]

6 July 2018

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by: d.leriche

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Categories: Non classé

In 2017, over 330 million people around the world use Twitter each month to comment and react instantly to events. Over the same year around 180 billion of tweets have been sent by users! In autumn 2017, Spain experienced one of the most important social event since the Spanish Civil War: the Catalan independence referendum. […]

8 June 2018

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by: d.leriche

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Categories: Uncategorized

According to Yannick Martel, Managing Director of Bleckwen, a fintech specialized in Artificial Intelligence for fraud prevention, interpretability is today a major stake to ensure a broad adoption of Artificial Intelligence.    First of all, could you explain what interpretability is? Interpretability is the ability to explain the logic and the reasons that lead an […]

31 May 2018

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by: n.chambon

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Categories: Non classé

While the media highlight increasingly sophisticated cyber-attacks, decision-makers could easily forget that humans are one of the main weak links of IT security. According to the latest IBM – Ponemon Institute report published in 2016, 25% of data leaks are due to human error or negligence.  | Social engineering is about exploiting human weakness to […]

28 May 2018

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by: n.chambon

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Categories: Non classé

Credit card fraud is the most visible type of consumer fraud: According to The Nilson Report, global damages caused by credit card fraud reached 21 billion dollars (18.4 billion euros) in 2015. Less known to consumers, wire transfer fraud (see https://www.bleckwen.ai/2018/05/31/social-engineering-consequences/) catches the attention of banks seeking to protect their customers, as one single such attack may siphon […]

6 September 2017

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by: upper

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Categories: Uncategorized

Interpretability: the missing link in Machine Learning adoption for fraud detection Machine learning methods are increasingly used, especially in anti-fraud products (developed by Bleckwen and other vendors) to capture weak signals and spot patterns in data that humans would otherwise miss. If the relevance of these methods for fraud detection is widely recognized, they are still mistrusted […]

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