SparkCognition Founder and CEO, Amir Husain, talks about the future of Big data and analytics in the Energy sector. Energy Thought Summit (ETS) events bring the world’s thought leaders together to debate the state and future of energy.
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Customer Success Story: Identifying Vane Failure From Combustion Turbine Data
Webinar: Are You Data-Ready for Predictive Maintenance in Energy?
This webinar will educate you to the key data requirements needed for a successful AI predictive analytics project and equip you with ideas on how to improve your data quality. How much data do you ne
Using AI to Pinpoint the New "Normal" in Wind Turbine Performance
Case Study: Predicting Rare Failures in Hydro Turbines
Hydropower is a unique resource in that it is both sustainable and highly efficient at converting natural, kinetic energy into electricity. Modern hydro turbines are massive assets, producing...
Protecting plant-wide assets, knowledge, and productivity with AI-based Predictive Maintenance
SparkCognition's Director of Solutions, Jessica Hamm, dives deep into the role of artificial intelligence in the power generation sector, and how predictive maintenance is changing the landscape for m
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
White Paper: Artificial Intelligence and the Connected Plant
Artificial Intelligence and the Internet of Energy (IoE)
5 Ways The Energy Industry Is Using Artificial Intelligence
The Future of Utilities Starts With Connected Power Plants
Electricity is one of the great luxuries of the 21st century. Flick a switch, and your home has light, heat, a variety of entertainment options, not to mention an instant...
Predicting Failures in Hydro Turbines: Easy as H2O
From the massive blades spinning on top of hillsides to solar panels decorating rooftops, advances in technology are helping to create a cleaner, more sustainable source of energy. Hydropower is...
Webinar - How Machine Learning Will Revolutionize Your Utility Asset Management
Webinar - How Machine Learning Will Revolutionize Your Utility Asset Management. Technology is moving quickly, and machine learning and the IoT are becoming increasingly prevalent. Watch our webinar.
The Future of Utilities Starts with Connected Power Plants
The Future of Utilities Starts with Connected Power Plants.Energy is everything. This is most obvious when we have to go without it. Unexpected downtime is devastating to utilities companies, but...
How Artificial Intelligence is Bringing Change to the Physical World
How Artificial Intelligence is Bringing Change to the Physical World. Artificial Intelligence already impacts our lives every day, but in what areas will the biggest transformations occur?
The Buy or Build Dilemma: Implementing AI in Utilities
More and more utilities are realizing that they have a problem of too much data and not enough ways to use it all. Some executives are wondering if they...
Artificial Intelligence and What's Next for Communities - SparkCognition at ETS 2017
SparkCognition's Chief Architect of IoT systems, Slavek Zaremba explores the transformational impact of artificial intelligence on humans and what it holds for our jobs, industries, and more. To lear
SparkCognition's SparkPredict - Cognitive Machine Prognostics
SparkPredict is a cognitive engine designed to address machine prognostics. Our technology truly enables predictive capabilities by providing advanced failure notice. Read more: http://bit.ly/2rNCOeW
Helping the Utility Industry: How AI Can Aid Failure Prediction and Prevention, Downtime, and Cybersecurity
The industry is experiencing a new operating environment where equipment is outfitted with sensors and communications devices. While all the data collected by this smart equipment presents great...
How SparkCognition Helped Invenergy Predict Premature Gearbox Failure
SparkPredict is more than 80% accurate at predicting wind turbine failure within 60 days, and more than 90% accurate within 30 days. Learn more: http://bit.ly/2qJbDxC Subscribe to SparkCognition on
Minimize Costs Through Machine Learning