Better Decision Making Using Cognitive Computing

Utilities around the world are deploying situational intelligence applications to correlate, analyze, and visualize business, operational and IoT data, spatially, over time and across network nodes. The resulting 360-degree view of the enterprise provides many benefits for their work in powering the digital economy. Our situational intelligence applications use cognitive computing, based on Kolmogorov Complexity, for real-time analysis of time series and text from connected devices. This presentation features three use cases from utilities:

Diagnosing smart meters in real time
Predicting power outages
Optimizing spare part replacement on wind turbines

Paul is responsible for Space-Time Insight's technology direction and product management. With more than 20 years’ experience in enterprise software and services, Paul’s background combines academic thought leadership with international executive leadership at global companies. Before joining Space-Time Insight, Paul was CTO at Saffron Technology and Vice President Research at SAP Labs at Palo Alto.