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It is the ambition of the Dutch AI Coalition to position the Netherlands at the forefront in the field of knowledge and application of AI for prosperity and well-being. To achieve this goal, it is crucial to make data widely available so that AI algorithms can be better fed with accurate information.

The purpose of both reference guides is to actively support organizations facing challenges in data sharing for AI applications by providing a framework with common building blocks for the efficient and coordinated development of AI data spaces. The guides focus on guidelines and building blocks for individual (sector-specific, application-oriented) AI data spaces, as well as guidelines and building blocks for interconnecting data spaces. Together, they describe how reliable data sharing can be shaped both within and between AI data spaces.

Organizations that can harness the power of big data have the opportunity to launch new business initiatives and jump ahead of the competition. But processing, storing, and analyzing big data presents an incredible challenge.

Read more of following five top data trends in the article to see what companies are doing today to overcome these obstacles and put big data to work in accelerating revenue growth.

1. Stream processing enables real-time Big Data insights
2. AI and ML power automation and analytics
3. Data-as-a-Service offers scalable, cost-effective management
4. Data lakes and lakehousses provide optimized storage
5. Transitions in Big Data governance