Bridging the gap in data analyticsThu Nguyen
Machine Learning and AI are two exciting application areas that enable programs to automatically learn and improve from experience
Location data has become by default for businesses as well as private consumers. Although, consumers are experiencing exponential digital developments through major technology giants, the digital transformation for governments and industries is slowing down.
A major survey by McKinsey shows that less than 1% of all data collected is analyzed. Data grows quickly, and all data has a location factor. However, only a fraction of this data is analyzed for smart decision making. We translate data from the dynamically changing environment to make data-driven decisions. This is done by converting real-time data into usable information; while self-learning algorithms embedded in our solutions help continually improve predictions.
Machine Learning and AI are two exciting application areas that enable programs to automatically learn and improve from experience. Our customers have greatly benefited from Machine Learning to create sustainable and light solutions.
In the Netherlands, the government has an initiative called ‘common ground’ that strives to create a future-proof municipal IT infrastructure. IMAGEM contributes to this initiative for all government customers through the VALLEY – a concept of reusing applications and pay per use models. Our model supports the development of society in collaboration with government, industry and citizens.
Source: Wouter Brokx