SparkCognition leverages its proprietary Automated Model Building solution to generate the most globally optimal model for each and every data set. Automated Model Building is capable of performing multiple analytical techniques, including Anomaly Detection, Clustering, Classification and Regression. SparkCognition’s product, SparkPredict™ is able to consume unlabeled data (or data without known failures and states, also known as unsupervised learning) and perform an ensembled, automated clustering technique.
How Dover Implements Cognitive Analytics with SparkCognition
Ali Raza, President of Dover Energy Automation, describes why they are implementing cognitive analytics wit...
Other content in this Stream
Maximizing Offshore Oil Well Production
Exploring the impact of artificial intelligence on offshore oil and gas
Oil and gas companies shift workplace culture, focus on tech to woo younger generations
Reimagine Offshore Maintenance with AI
Five exploration technologies for the offshore industry
Customer Success Story: Identifying Non-Productive Time and Invisible Lost Time on Oil Rigs
How Algorithms Are Taking Over Big Oil
Automation and Data Technology Showcase
SparkCognition Adds Artificial Intelligence to Aker BP's Operations
Energy Experts Share Big Data Insights
Case Study: Improving Offshore Production with AI-Based Predictive Analytics
One major oil platform operator was facing recurring failures in production subcomponents that resulted in >10% downtime and millions of dollars of lost production. They employed SparkCognition’s turn
Webinar: Are You Data-Ready for Predictive Maintenance in O&G?
O&G companies' projects with machine learning-based predictive analytics will ultimately be driven by data quality, availability, and management. This webinar will expose you to the key data requireme
The Practical Guide to Industrial AI: Benefits and Implementation
Artificial intelligence is certainly not a new topic. The field has seen starts and stalls, as many of AI's successes have been promising for research progress. With new developments and impactful
Webinar: How Apergy Harnessed the Returns of Cognitive Analytics in E&P Operations
Oil & Gas Webinar
Join SparkCognition's Stuart Guillen, alongside other oil & gas experts, to explore the potential of artificial intelligence and machine learning in the oil and gas industry.
Five minutes with: Philippe Herve, VP, SparkCognition
Predictive Maintenance on Critical Assets
Predictive Maintenance on Critical Assets. On an oil rig assets range from replaceable to critically important. Predictive maintenance exists to ensure all assets in this range are safe from unplanned
Automating Drilling Processes Using Machine Learning: A Three-Step Checklist
By Philippe Herve and Marla Rosner There’s been a great deal of enthusiastic discussion around the idea of automating drilling processes in the oil and gas sector. Research suggests automation...
IoT & Machine Learning in Oil & Gas
IoT & Machine Learning in Oil & Gas. Oil and gas companies have been collecting data from sensors for over a decade, but not all of this data is going to good use. SparkCognition breaks down how the
Case Study: Predicting Maintenance and Production in Oil Wells