Hidden Insights

Artificial Intelligence | Risk Management

Colin Bristow14 March 2022 0

How can technology help insurers with the fight against money laundering?

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

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Insurance

Analytics | Fraud & Security Intelligence

Boosting anti-money laundering capabilities

Stefan Baciu2 March 2022 0

Boosting anti-money laundering capabilities

The fight against fraud and money laundering is an ongoing one. Fraudsters move fast to stay ahead of their targets, and it is hard for organizations to keep on top of the situation. New regulations have recently targeted anti-money laundering as a way to prevent terrorist financing and tax avoidance

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Banking

Analytics | Artificial Intelligence

Marcos Garcia1 March 2022 0

4 architecture takeaways from my MSc in AI

I have just completed an MSc in artificial intelligence and have been reflecting on my key takeaways from this experience. Study and learning like that is intrinsically interesting. And all the more so when everyone around you talks about analytics and artificial intelligence. Many would argue that it is worth

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Analytics | Learn SAS | Machine Learning | Students & Educators

Ariane Liger-Belair1 March 2022 0

The Small Step from Life Sciences to Data Science

Everyone has been there. That crucial moment when you must ask yourself the question "What do I want to do with my life?". This question can be scary and difficult to answer. Yet, some lucky ones quickly find their path. And it's not only a path that makes sense, but

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Analytics

Amir Sohrabi25 February 2022 0

Data science talent strategies for the Great Resignation

The COVID-19 pandemic brought huge changes in the workplace, such as a massive increase in remote working. These may or may not last. However, one pandemic-driven change shows no signs of stopping: the Great Resignation. When the pandemic first hit, resignations as a proportion of the workforce fell dramatically. However,

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Analytics

Katrina Wakefield16 February 2022 0

The expanding role of HR in the modern employment experience: 8 key takeaways

Using data has become more and more important to HR teams where they are recruiting, managing or retaining employees. This has been particularly true during the last two years, as remote working became the norm, and many of the standard recruitment practices were simply not possible. As we move beyond

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Government

Analytics

Rob McManus15 February 2022 0

Workplace personalisation: Why HR analytics is in the spotlight

In the early days of COVID-19, we heard a lot about how working practices were changing, probably forever. People would no longer want to crowd into the office every day. And employers would no longer need to pay for expensive city-centre real estate. Instead, remote working would become the norm

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Government

Analytics

Antonio Calvo10 February 2022 0

Riding the AI wave in retail: Takeaways from NRF 2022

The waves of disruption just keep coming. Retailers have learned to make rapid pivots to catch and surf the big ones – but how are they doing with AI? NRF this year explored what it means to ride the AI wave in retail. We invited experts from Microsoft, Sitoo and

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Retail

Analytics

Gorkem Sevik9 February 2022 0

The business value of modern analytics platforms: Takeaways from our recent SAS chat

On 14 January, we held a SAS chat on the business value and importance of modern analytics platforms. Participants from SAS and partners, including Intel, joined us from across the globe. We checked in from London, Oxfordshire, Johannesburg and Istanbul, as well as Knoxville, Atlanta, Cary and Florida in the

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Analytics

Ronald Breedveld4 February 2022 0

How to better manage customer demand in an economic downturn

Before the outbreak of COVID-19, demand planning hardly ever matched actual sales. But since the virus reached Europe, the level of sales in different product categories became even more difficult to predict. How could the garden centers have imagined that consumers would invest their money in a roof, pavement or

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Retail

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