Ermittlungen im Umfeld der organisierten Kriminalität sind komplex und zeitaufwändig. Kriminelle Aktivitäten und Verflechtungen erstrecken sich oft über Landes- und Staatsgrenzen hinweg. Damit steigt die Zahl der Datenquellen und der Aufwand, die Vielzahl unterschiedlicher Daten zu sichten und die relevanten Informationen in einen Zusammenhang zu setzen. Ermittler müssen oftmals Chatverläufe
Artificial intelligence
"Unsere Brutstation, also unser Innovation Management Bereich, versucht, zwei Mal im Jahr Innovations Incubations durchzuführen."
More newsworthy than ever, since the pandemic, the so-called ESG (Environmental, Social, and Governance) is one of the hottest topics in any organization, any industry. No surprise, ESG investing continues to soar in 2022. Did I tell you I work for a company that has a solar farm, bees and
How is SAS positioned to support the strategic goals of Retail & Consumer Goods businesses?
Change is the only constant, and it doesn’t happen overnight. This is particularly true in the world of data analytics. As organizations are looking to become more digital, resilient and profitable, executives are going back to the whiteboard to reconsider how they’re using data and analytics to transform their business.
Traditionally, banks have been seen as the front line in anti-money laundering activity. They have increasingly been subject to regulatory requirements to check customers, transactions and activity. However, as governments have required banks to make fraudulent activity harder, criminals have evolved their tactics. And the financial sector needs to keep
I was recently told that an organization had tried to implement AI for forecasting in supply chain but had failed due to poor data. This got me thinking about exactly what the impacts of poor data would be. And whether the approaches I had applied elsewhere could help. It's probably
Gartner first openly used the term "hyperautomation" in 2019. But what is it? How will it benefit your organization? And what are we hyperautomating? In this post, I discuss what we are hyperautomating and how the convergence of technology and decision maturity made it possible. If you are still curious about
Este año, coincidiendo con la semana del Día Internacional de la Mujer, hemos celebrado el 17º meetup de Women in Machine Learning and Data Science (WiMLDS), plataforma global, donde co-lidero el equipo de WiMLDS Madrid y cuya misión principal es promover la presencia de mujeres en los campos de la
Money laundering is a growing threat within the insurance industry. The regulatory framework within banking is adding stronger controls and governance processes which will encourage launderers to seek alternative areas to launder funds. While insurance presents a different type of Anti-Money Laundering (AML) risk, the risks still exist. Long considered