An average organization makes decisions based on only 12% of its available data because it’s “too messy” to deal with. Experts predict that the amount of data will increase by 800% in the next five years, and most of it will be multi-structured.
“Dark” Data Challenge
The enormous amounts of data generated by smart devices, operational machinery, equipment and sensors, etc. (aka “dark” data) vastly exceed the current capabilities to process this data.
For example, a single turbine compressor blade can generate 500GB per day, while a wind farm may generate 150,000 data points per second.
Today, the majority of this data is poorly analyzed or not collected at all. The ability to analyze, synthesize and draw conclusions from the massive amounts of “dark” data enables new levels of operational effectiveness, situational awareness, and ultimately intelligent decision making.
- Cybersecurity Analytics: applying AI analytical techniques to cyber threat intelligence.
- Industrial IoT: condition-based maintenance and preventive analytics; IoT/sensor-based solutions; telemetry data; etc.
- Computer Vision: object recognition within images/video; anomaly detection & change classification; deep learning of image content.
- AI and human interaction to detect, investigate, and remediate complex cyber adversarial behaviors.
- Cost savings and operational availability of equipment and machinery through condition-based preventive maintenance.
- Business intelligence through analysis of images, videos, and unstructured geospatial data.