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Predictive Maintenance - The Next Evolution

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Historically, predictive maintenance required very expensive technology and resources, like data scientists and domain experts, to be effective. Thanks to artificial intelligence (AI) methods such as machine learning making its way into the mainstream, predictive maintenance is now more achievable than ever. Our latest webinar will explore how machine learning is changing the game and greatly reducing the need for data scientists and domain experts. These technologies self-learn and autonomously monitor for data pattern anomalies. Not only does this make predictive maintenance far more practical than what was historically possible, but now predictions 30 days in advance are the norm. Don't let the old way of doing predictive maintenance cause you loss in productivity any longer.

Meet the Panel

Tim Goecke
Director of Enterprise Integration Solutions, MAVERICK Technologies