Data Analytics and Machine Learning in the Cloud and Edge
The value of an IoT system is not a single sensor event, or a million sensor events archived away. A significant amount of the value of IoT is in the interpretation of data and decisions based on that data.
While a world of billions of things connected and communicating with each other and the cloud is well and good, the value lies in what is within the data, what is not in the data, and what the patterns of data tell us. These are the data science and data analytics portions of IoT, and probably the most valuable areas for the customer.
Analytics for the IoT segment deals with:
- Structured data (for example, SQL storage): A predictable format of data
- Unstructured data (for example, raw video data or signals): A high degree of randomness and variance
- Semi-structured (for example, Twitter feeds): Some degree of variance and randomness in form
Data also may need to be interpreted and analyzed...