Innovation 6: Data Analytics and Data Lakes
An important challenge that needs to be addressed is the optimum way to handle the vast amount of data, which may come from multiple sources, be of different types and be non-structured. Add to this the need to process the data rapidly in (almost) real-time. To overcome these challenges, it will be essential to go beyond the traditional data management systems and to use cutting-edge Data Lake technologies and methodologies, tailored for the needs of IBM.
CONNECTOR will build modern and customised Big Data Analytics and Artificial Intelligence techniques (e.g. Natural Language Processing) to integrate and rapidly process the vast amount of miscellaneous input data that will be produced. This data will be stored and managed in suitable Data Lakes, so that it is possible to enhance situational awareness and enable fast risk assessment and decision making.
Service Description
An important challenge that needs to be addressed is the optimum way to handle the vast amount of data, which may come from multiple sources, be of different types and be non-structured. Add to this the need to process the data rapidly in (almost) real-time. To overcome these challenges, it will be essential to go beyond the traditional data management systems and to use cutting-edge Data Lake technologies and methodologies, tailored for the needs of IBM.
CONNECTOR will build modern and customised Big Data Analytics and Artificial Intelligence techniques (e.g. Natural Language Processing) to integrate and rapidly process the vast amount of miscellaneous input data that will be produced. This data will be stored and managed in suitable Data Lakes, so that it is possible to enhance situational awareness and enable fast risk assessment and decision making.
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