The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.

In the world of finance, where every decision can have significant ramifications, the possibility of predicting market movements is invaluable. Traditionally, analysts have relied on a combination of data analysis, market trends, and expert insights to make informed predictions.

Due to its multivariate and multipurpose use and reuse, data’s worth is dramatically increasing, leading to an era characterized by the generation of data marketplaces towards accessing, selling, sharing, and trading data and data assets.

In terms of the calibre and variety of services offered to end users, smart city management is undergoing a dramatic transformation.

3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.

The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.

While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models.

32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA). DOI: 10.1109/WAINA.2018.00120

In the era of Big Data and AI, it is challenging to know all technical and business advantages of the emerging technologies.