Hidden Insights

Sundeep Tengur19 April 2019 0

Is your organisation doing enough to keep pace with payment fraud?

The financial services industry is under continued pressure to create more convenient ways of paying for goods and services. This trend goes beyond common hype. It’s a cultural shift from long-standing payment methods traditionally defined by industry heavyweights to embracing market demands and delivering customer-centricity. With digitisation, new market entrants

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Artificial Intelligence

Hidden Insights: 8 ways for banks to use AI

Christian Engel16 April 2019 0

8 ways for banks to use AI

If a bank gets in touch with a software company and wants to know how it could use artificial intelligence (AI), that means two things. First, the bank is willing to consider AI, and second, that it really does not know much about the subject. Banks want AI, and they

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Banking

Artificial Intelligence | Fraud & Security Intelligence

Marcin Nadolny15 April 2019 0

Here and now: Boosting anti-money laundering efforts with Artificial Intelligence

Anti-money laundering has been an issue for banks and financial institutions for some time. Transaction monitoring systems have been around for many years. Meeting and complying with regulations at the regional or national level, however, remains a challenge. Many financial institutions are almost playing catch-up with regulators, as anti-money laundering

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Banking

Risk Management

Giada Scalpelli13 April 2019 0

What’s next for risk management?

Which topics and priorities will be the focus for chief risk officers in 2019? A range of experts and representatives of major banking institutions addressed these questions at a recent event, CRO and CFO Banking Agenda 2019, organised by CeTIF, the Research Center on Technologies, Innovation and Financial Services, in collaboration

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Banking

Artificial Intelligence | Fraud & Security Intelligence

Josefin Rosén12 April 2019 1

Can artificial intelligence learn fast enough to beat money launderers?

Anti-money laundering is an important issue for governments and banks alike. The fight to prevent terrorist financing and profiting from crime means that banks and other financial institutions are increasingly required by regulations to put anti-money laundering systems in place. Many are turning to analytics in the process, and particularly to

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Risk Management

Tony Cartia11 April 2019 0

Stepping up from model governance to model risk management

The number of models used by large operators in the financial sector is increasing by around 10 to 25 percent per year. Most of the new models are designed to meet business needs, such as pricing, the definition of strategic plans and the management of liquidity. Some, though, are for

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Banking

Analytics

Christer Bodell10 April 2019 0

9 ways hackathons can support innovation

Hackathons are short-term programming events that use data and analytics to solve real-world challenges. They have been around for a while now, and there is general agreement that they are great opportunities for networking and experimenting. There is also, however, now a growing sense that organisations can use them to

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Artificial Intelligence | Risk Management

Alex Kwiatkowski9 April 2019 0

The acceleration of AI in risk management: Getting in with the AI crowd

The recently released results of a new joint survey from SAS and the Global Association of Risk Professionals (GARP) on the use of AI in risk management makes for very interesting reading. Here are the highlights from the study, which involved more than 2,000 participants from across the global financial

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Banking

Fraud & Security Intelligence

Marcin Nadolny8 April 2019 0

Here and Now: Analytics can protect your business from procurement fraud

Let’s be blunt. Procurement fraud is a problem. Orders and purchase procedures are one of the most vulnerable areas of corruption. The scale of irregularities and abuse in the procurement area is large. In fact, procurement fraud is the second-biggest economic crime after theft. Estimates suggest that businesses can

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Analytics | Data Management

James Ochiai-Brown4 April 2019 0

8 reasons to run SAS Analytics in containers

The idea of running software in a self-contained package took off with the launch of Docker in 2013 and has become a hot topic in the application development and DevOps community. In a recent survey by Red Hat, 57 percent of companies questioned said they use containers for some workloads

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