SparkPredict

  • Predictive and Prescriptive Maintenance: Why Enterprise Should Know the Difference

    Predictive and Prescriptive Maintenance: Why Enterprise Should Know the Difference

    We’re often asked by our clients to explain the difference between “predictive” and “prescriptive” analytics. We thought that this simple example could clear up the distinction: Imagine you’re...

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  • Mitsubishi Hitachi Adds SparkCognition AI Tech to Boost Predictive Analytics2:24

    Mitsubishi Hitachi Adds SparkCognition AI Tech to Boost Predictive Analytics

    SparkCognition, a global artificial intelligence (AI) technology leader, and Mitsubishi Hitachi Power Systems Americas, Inc. (MHPS-Americas) are working together to advance AI applications in MHPS-TOM

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  • The Future of Utilities Starts with Connected Power Plants2:06

    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 SparkCognition can help. See how SparkPredict can change...

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  • Case Study: Predicting Rare Failures in Hydro Turbines

    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...

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  • A Cognitive Approach to Industrial Safety and Efficiency

    A Cognitive Approach to Industrial Safety and Efficiency

    SparkPredict enables truly predictive capabilities to deliver millions of dollars in cost savings and operational efficiency improvements to machine operators. This not only provides more time for...

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  • SparkCognition Changing the World by Way of Oil and Gas

    SparkCognition Changing the World by Way of Oil and Gas

    The oil and gas industry is one of the largest and most influential branches in the current world economy. It supports over a million jobs globally, stimulates manufacturing in oil...

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  • Predictive Maintenance on Critical Assets: Applying AI to Top Drives

    Predictive Maintenance on Critical Assets: Applying AI to Top Drives

    Much of the equipment on an oil and gas rig is redundant. For example, there are typically three mud pumps on a given rig. If a mud pump breaks down,...

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  • Predictive Maintenance on Critical Assets2:12

    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 downtime.

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  • Predicting Failures in Hydro Turbines: Easy as H2O

    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...

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  • Recognizing The Value Of Data In The Maritime Space

    Recognizing The Value Of Data In The Maritime Space

    Rapidly developing technologies are transforming the way major transportation assets are managed. Innovations such as the cloud, cognitive analytics, the industrial internet of things (IIoT), and...

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  • The New Logbook: Machine Learning for Maritime Data Analytics

    The New Logbook: Machine Learning for Maritime Data Analytics

    With the explosion of new sensors and IoT devices on ships, more data is being generated than ever before, but little of that data is actually being put to good...

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  • Raise Machine Prognostics To A Cognitive Level

    Raise Machine Prognostics To A Cognitive Level

    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...

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  • Minimize Costs Through Machine Learning

    Minimize Costs Through Machine Learning

    Reprinted with permission from Uptime® Magazine. Machine learning is an approach of exploring and building algorithms that enable computers to continuously learn and adapt. With utilities, unknown...

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  • SparkCognition's Cognitive Predictive Capabilities1:15

    SparkCognition's Cognitive Predictive Capabilities

    Usman Shuja, VP of Market Development, gives an example of how SparkCognition used predictive analytics and AI to decrease downtime and maintenance costs for the best pump and valve manufacturer in th

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  • SparkCognition's SparkPredict - Cognitive Machine Prognostics0:47

    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

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  • Standardizing Machine Learning Models

    Standardizing Machine Learning Models

    At SparkCognition, we create machine learning models that can predict some amazing things — like forecasting the failure of a gas turbine days ahead of time instead of hours. However,...

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  • How SparkCognition Helped Invenergy Predict Premature Gearbox Failure Using OSI PI Data0:50

    How SparkCognition Helped Invenergy Predict Premature Gearbox Failure Using OSI PI Data

    Check out how SparkCognition utilizes OSI PI Data to solve premature asset failures and other varying utility problems.

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  • A More Effective Approach to Unsupervised Learning with Time Series Data

    A More Effective Approach to Unsupervised Learning with Time Series Data

    At SparkCognition, our anomaly detection platform SparkPredict is often entrusted with preventing failure in multi-million dollar equipment. Thus, the analytics of sensor data over time (time...

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  • How SparkCognition Helped Invenergy Predict Premature Gearbox Failure0:50

    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

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  • Predictive maintenance could improve drilling equipment reliability

    Predictive maintenance could improve drilling equipment reliability

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