We are excited to announce our 3 part webinar series on “Industrial IoT and failure prediction on event signals”. In this series, we will highlight how companies can seize the opportunity to monetize the trillion dollar opportunity in IIoT by “connecting the unconnected” for cognitive insights. These cognitive insights from real time sensor/machine data can empower companies to achieve ground-breaking results in plant efficiency, improved productivity and “digital readiness for smart factory”.
Watch on-demand the first part, aptly titled “Feature Engineering for failure prediction on time series data” Adurthi Ashwin Swarup, Sr. Data Scientist, at DataRPM will introduce the concept of how imprecise business problems are translated to precise data science solutions, how data is transformed and whitened for algorithms that are essential to predictive maintenance use-cases.
By Attending this webinar, you will
1. Understand the importance of feature engineering for predictive maintenance.
2. Learn how to think about and apply feature engineering to sensor data to make the leap from storage efficiency to analytical efficiency.
3. Learn how big data can be leveraged using cognitive data science to simultaneously compare large set of sensor features for model computation.