Etisalat Digital invites you to attend an Internet of Things workshop in association with The Assembly and PTC.
In this session, we continue our deep dive into the world of AI Analytics for the Internet Of Things. In previous workshops, we restricted ourselves to non-sequential data, only building models for simple goal/failure prediction or categorization. However, most real world IoT data is sequential as it is continuously generated in intervals and demonstrates valuable chronological trends, so it’s important to handle time series. The ThingWorx Analytics server comes built-in with special mechanisms for working with time series data, allowing for predictive models with lookback capability.
We’ll show you how to bring data in this format into the system and create machine learning models from it, adjusting parameters for best results. We’ll analyze the input and output data trends according to metrics and then operationalize our model so that it can be used in real time from a web mashup also created in ThingWorx.
All session attendees will be provided with special FREE access to a full-featured cloud instance of ThingWorx including the advanced Analytics module – where you can upload datasets, extract data trends, create & score machine learning models & build web interfaces for operationalized models & analytics displays with little to no code needed. As it’s all on the cloud, no installation or setup prior to the session is required.
Work with Time Series Data in IoT Analytics
Etisalat Digital invites you to attend an Internet of Things workshop in association with The Assembly and PTC.
In this session, we continue our deep dive into the world of AI Analytics for the Internet Of Things. In previous workshops, we restricted ourselves to non-sequential data, only building models for simple goal/failure prediction or categorization. However, most real world IoT data is sequential as it is continuously generated in intervals and demonstrates valuable chronological trends, so it’s important to handle time series. The ThingWorx Analytics server comes built-in with special mechanisms for working with time series data, allowing for predictive models with lookback capability.
We’ll show you how to bring data in this format into the system and create machine learning models from it, adjusting parameters for best results. We’ll analyze the input and output data trends according to metrics and then operationalize our model so that it can be used in real time from a web mashup also created in ThingWorx.
All session attendees will be provided with special FREE access to a full-featured cloud instance of ThingWorx including the advanced Analytics module – where you can upload datasets, extract data trends, create & score machine learning models & build web interfaces for operationalized models & analytics displays with little to no code needed. As it’s all on the cloud, no installation or setup prior to the session is required.