Unplanned downtime costs businesses millions. At a time when rising operational costs are putting intense pressure on businesses to become more efficient, the revenue and productivity losses from equipment failures hit even harder. And that's not even counting the increased maintenance and repair costs. Want to move beyond break-fix maintenance but unsure where to start?

Advancements in AI, machine learning, and data analytics have made predictive maintenance more accessible and effective than ever. This webinar provides a practical guide to implementing a successful predictive maintenance program. We'll demystify predictive and prescriptive IoT analytics, explore industry-specific use cases, and provide insights into building a data-driven culture that supports proactive maintenance.

Learn how to turn data into your most valuable asset for ensuring optimal equipment uptime and performance on Oct. 22. OpenText's Phil Schwarz and Ryan Sickles will provide a practical guide to implementing a successful predictive maintenance program, as well as other useful information.

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