|
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. Reserve your seat today for this special October 22nd webinar.
Register Now to attend the webinar Stop Fixing, Start Predicting: Mastering Predictive Maintenance with IoT Data Analytics and AI.
Don't miss this live event on Tuesday, October 22, 2024, 11:00 AM PT / 2:00 PM ET.
| SPEAKERS |
|
|
|
MODERATOR |
 |
 |
 |
Phil Schwarz
Industry Strategist for
Energy & Resources
OpenText |
Ryan Sickles
Lead Product Manager,
Core Analytics Database
OpenText |
Stephen Faig
Research Director
Unisphere Research and DBTA |
|