Computer vision and the data-centric AI pipeline
Data-Centric AI (DCAI) represents a pioneering approach in AI by focusing on the quality and relevance of data to optimize machine learning models and system performance.
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It is no longer a secret that big data can have a significant impact on the environment. Data helps to streamline processes, make environmental policy decisions and develop new, more sustainable ways of working.

Big Data & Analytics

The digital data is structured or automatically generated by machines, M2M or RFID data and logs, or also generated by users in crowd sourcing and social media channels. The entire pool of data in different data formats results in big data.

Big data is prepared for analysis and evaluation. Real-time analyses are playing an increasingly important role. The results of the data analyses reveal potential in all areas of the company that is relevant to the implementation of corporate goals.

The specialist articles in the Big Data & Analytics category describe the technologies that evaluate data volumes. You will find helpful analyses and regular reports on the use of new technologies. Interesting facts about Hadoop, Apache Spark, in-memory databases, data lakes, data warehouses, architectures for big data applications, predictive analytics and analytical platforms.

The digital data is structured or automatically generated by machines, M2M or RFID data and logs, or also generated by users in crowd sourcing and social media channels. The entire pool of data in different data formats results in big data.

Big data is prepared for analysis and evaluation. Real-time analyses are playing an increasingly important role. The results of the data analyses reveal potential in all areas of the company that is relevant to the implementation of corporate goals.

The specialist articles in the Big Data & Analytics category describe the technologies that evaluate data volumes. You will find helpful analyses and regular reports on the use of new technologies. Interesting facts about Hadoop, Apache Spark, in-memory databases, data lakes, data warehouses, architectures for big data applications, predictive analytics and analytical platforms.

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