What is Anomaly Detection and its Role in Preventative Analytics

DataRPM

Equipment downtime is a multi-billion-dollar problem which will only continue to grow with exploding sensor data. According to IDC, by 2018 a third of industrial companies will be disrupted by “Industrial IoT enabled competitors.” So how can companies monetize their IoT investments for higher operational efficiencies and productivity? Anomaly Detection and Prediction is the silver bullet that companies need to maximize their machine uptime and performance. Watch the on-demand webinar featuring the Dean of Big Data, Bill Schmarzo, Chief Technology Officer, Big Data at Dell EMC and Seth Page, General Manager and Head of Partnerships at Progress DataRPM, to learn how zero factory downtime can be a reality.
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Spotlight

The healthcare industry is currently experiencing a significant transformation, as Big Data continues to be leveraged in unprecedented ways. The availability of vast quantities of electronic health records, medical claims, and other health-related data has allowed healthcare providers to harness the power of Big Data in order to drive innovation and improve patient outcomes.

OTHER ON-DEMAND WEBINARS

How to Scale New Products with a Data Lake on AWS and Qubole

awscloud.com

Big data technologies can be both complex and involve time consuming manual processes. Organizations that intelligently automate big data operations lower their costs, make their teams more productive, scale more efficiently, and reduce the risk of failure.
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Expert Panel: The Importance of Governance in Data Modernization

Data modernization, especially through cloud migration, is critical to realizing value from today’s fast, diverse, and high-volume data. Modernization is about overhauling legacy data management and practices that hold organizations back from achieving business goals, improving resilience, and reducing risk. However, often overlooked in the rush to develop new applications and migrate data is modernizing data governance. Poor attention to data governance will bake problems into overall modernization efforts that become hard to correct, increase risks, and ultimately reduce the value of data.
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Practical tools and techniques for building a brand that is trusted with data

In this ODI Inside Business webinar you’ll discover how you can help your business work towards six critical outcomes that together contribute to developing a brand that is trusted with data.
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Applying Convolutional Neural Networks with TensorFlow

Databricks

In this latest Data Science Central Deep Learning Fundamentals Series webinar, we will cover the fundamentals behind TensorFlow and how to apply them within a convolutional neural network (CNN) example. The principles we will cover include CNN concepts and their impact to the accuracy and loss of your network. All these concepts will be brought to life by demonstrating how Databricks simplifies deep learning - letting you quickly access ready-to-use ML environments, as well as prepare data, and train models faster. After this session, if requested, you will receive the presentation and associated notebooks so you can run the samples yourself.
Watch Now

Spotlight

The healthcare industry is currently experiencing a significant transformation, as Big Data continues to be leveraged in unprecedented ways. The availability of vast quantities of electronic health records, medical claims, and other health-related data has allowed healthcare providers to harness the power of Big Data in order to drive innovation and improve patient outcomes.

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