Many organizations face challenges on trying to manage an unstructured data flooding, such as:
- Pinpointing and activating relevant data for large-scale analytics.
- Lacking the fine-grained visibility that is needed to map data to business priorities.
- Removing redundant, obsolete, and trivial (ROT) data.
- Identifying and classifying sensitive data.
To address this situation and to speed up the "puzzle tale" dilemma so we can create sense of the data quickly and prepare it to an AI application, IBM developed a solution called IBM Spectrum Discover which is a modern metadata management software that provides data insight for petabyte-scale file and object storage, storage on premises, and in the cloud. This software enables organizations to make better business decisions and gain and maintain a competitive advantage.
Imagine boosting your Artificial Intelligence & Data Science productivity just like the “puzzle tale” by:
- Unifying data Silos, wherever they the data resides, on-premises or off
- Simplify and accelerate data curation
- Improve the quality of your data by eliminating redundant, obsolete and trivial data
- Enhance the value of your data with semantic metadata
IBM Spectrum Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of unstructured data. It also improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed-critical research.