Christopher J. Rospenda, IBM Global Maximo Strategy Leader, IBM Corporation
Chris has been with IBM for over 20 years and brings over 30 years of experience in Best Practices for the Travel and Transportation Industries, with a special focus on Airports, Airlines, Flight Operations and Maintenance.
Prior to joining IBM, Chris worked for major air carriers in various leadership roles. He assisted and lead several mergers and acquisitions of major carriers domestically and internationally. He was also was a Director and Manager of System Operations Control for several airlines with overall safety and completion responsibility for minute-to-minute operations. He has also run many airport operations from inception to shut down.
Chris leads the IBM Connected Operations Worldwide Transportation Team focusing on asset utilization, configuration compliance and overall health assessments for Aviation & Defense, Rail, Shipping and Trucking.
The Connected Technician: Using AI, AR, Advanced Analytics and IoT Data to Empower your Field Workforce
The operating model for work training and execution is changing. Enterprise assets are becoming smarter; data is being leveraged for impact; and near real-time monitoring is finally here. The new generation of technicians want information at their fingertips, immediately accessible with graphics and two-way instruction.
Simultaneously, there is a change happening in the workforce. Your staff is shifting from tribal knowledge workers to digital natives who grew up relying on smart devices for information. To operate at peak performance, your organization needs to leverage the expertise of your aging workforce across the workforce through a simple, yet effective, mobile solution. This solution must also meet the high expectations of your digital natives while connecting them to resources and support to effectively address challenges in the field—where and when they need them.
Companies failing to embrace this digital and demographic transformation will simply underperform. Technicians will have little to no context on the asset’s current and historical health that would help them make informed maintenance decisions. On top of all this, when repairs to critical assets are not effectively executed, it drives up labor and maintenance costs.
This session will cover how companies can use Artificial Intelligence, Augmented Reality, advanced analytics and IoT data to reimagine core workflows and transform the way their field technicians work. We will also talk about how customers are leveraging these advanced technologies to transform their maintenance and repair procedures. And by helping technicians troubleshoot problems and repair equipment more efficiently, they are improving key metrics such as reduced mean time to repair and improved first time fix rates.
The evolution of the mobile technology has gone from proprietary platforms to open systems that can access the internal and external information seamlessly. The efficiency of this capability is one that drives enhanced learning capabilities and knowledge transfer at an accelerated pace, leading to increased first time repair and lower operating costs.