01/31/2017, 4:00 PM
January 31, 9:00am (CET) | 4:00pm (SGT)
Today, devices generate more data than social networks. Each device can send data several times per second and with millions of connected devices, a typical data processing platform might be required to deal with billions of such incoming events every day. Even though processing this amount of data is obviously a considerable and by no means trivial technological challenge, it is clear that the device data itself – even when stored in a preprocessed form – is not something actionable. To get actionable insights, the collected data must be analyzed.
One type of task that can be effectively tackled with data analysis is anomaly detection. Its goal is to find unusual behavior that differs significantly from what has been observed before or from what is expected.
Who is the webinar for?
This 30-minute webinar is free of charge and is aimed at IoT project leaders, data analytics experts and software architects of Internet of Things (IoT) solutions.
The webinar includes
Irene Cramer is chief product owner of the data analytics services that are part of the Bosch IoT endeavor. For more than 5 years, she is part of interdisciplinary teams that foster the application of data-driven methods within Bosch, and for more than 10 years she is specialized in data mining.