Unstructured data is produced in abundance by every business in some way. Whether it's images and videos, text-heavy emails, or sensor data, all of these have the potential to increase competitive advantage if meaningful, actionable insights can be extracted from them.
But traditional analytics tools haven’t been optimized to pull from or make sense of unstructured data sources. This means organizations are excluding a huge cache of their data from all their analyses—and potentially leaving revenue-generating information on the table. Fortunately, advances in AI technology now enable businesses to leverage their unstructured data in exciting new ways.
The question is, in the world of unstructured data, how can organizations extract key insights from this dataset—without the headache?
Unstructured data is produced in abundance by every business in some way. Whether it's images and videos, text-heavy emails, or sensor data, all of these have the potential to increase competitive advantage if meaningful, actionable insights can be extracted from them.
But traditional analytics tools haven’t been optimized to pull from or make sense of unstructured data sources. This means organizations are excluding a huge cache of their data from all their analyses—and potentially leaving revenue-generating information on the table. Fortunately, advances in AI technology now enable businesses to leverage their unstructured data in exciting new ways.
The question is, in the world of unstructured data, how can organizations extract key insights from this dataset—without the headache?