Access to Innovation
Access to Capital
Access to Talent
Access to Market
Access to Knowledge
Date Trend snippet:
28 May 2021
Relevance date:
2020
Type of Treath or Oppertunity
Domain of application
Source of threat
Trends in Security
Trends in Security Information
The HSD Trendmonitor is designed to provide access to relevant content on various subjects in the safety and security domain, to identify relevant developments and to connect knowledge and organisations. The safety and security domain encompasses a vast number of subjects. Four relevant taxonomies (type of threat or opportunity, victim, source of threat and domain of application) have been constructed in order to visualize all of these subjects. The taxonomies and related category descriptions have been carefully composed according to other taxonomies, European and international standards and our own expertise.
In order to identify safety and security related trends, relevant reports and HSD news articles are continuously scanned, analysed and classified by hand according to the four taxonomies. This results in a wide array of observations, which we call ‘Trend Snippets’. Multiple Trend Snippets combined can provide insights into safety and security trends. The size of the circles shows the relative weight of the topic, the filters can be used to further select the most relevant content for you. If you have an addition, question or remark, drop us a line at info@securitydelta.nl.
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AI is bringing about a massive transformation in the banking industry
AI is bringing about a massive transformation in the banking industry. It yields many new data-driven insights, while increasing productivity and presenting new cost-saving opportunities. AI allows banks to enhance the customer experience, accelerate business growth, mitigate risks and increase operational efficiency.
More source info
Implications and applications for Rabobank and its clients
AI is bringing about a massive transformation in the banking industry. It yields many new data-driven insights, while increasing productivity and presenting new cost-saving opportunities. AI allows banks to enhance the customer experience, accelerate business growth, mitigate risks and increase operational efficiency. This trend offered endless opportunities for Rabobank, too. AI can be applied to all of the bank’s internal and available external sources of data. It has already been leveraged for multiple different purposes – for fraud prevention, personalised financial advice, real-time transaction monitoring, risk assessment, cybersecurity, enhanced human-machine interaction and even for marketing. Rabobank created an AI model to identify operational deposits, enabling the bank to conduct better risk assessments. The model was built in only six weeks, and saves the bank millions of euros per year - of course by using customer data only in accepted ways.
A proactive player in the market
Rabobank strives to promote a data-driven society and aims to improve confidence in AI. One way the bank contributes is by being an active player in the market. Rabobank is one of the investors behind ProducePay, a Los Angeles-based company that aims to overcome the lack of proper short-term access to financing and transparency within the farming industry supply chain by providing fresh produce farmers with financial resources, tech tools and data insights. Another AI-driven initiative Rabobank is proud to support is JoinData, an authorisation data platform for the Dutch agricultural sector that enables companies, knowledge institutions and agricultural entrepreneurs to work together to stimulate sustainable entrepreneurship and innovation in the industry
