James E. Seeber

James E. Seeber, Senior Solutions Engineer, IBM Corporation

Jim has been with IBM for over 12 years and has more than 30 years of experience in best practices for Power Generation, Refining, Mining including 8 years in the Travel & Transportation industries. The majority of his work experience is in heavily regulated industries focused on achieving and maintaining regulatory compliance.

Prior to joining IBM, he was responsible for process engineering, business analysis, and application systems management. He was responsible for enterprise asset management systems supporting multiple refineries and more than 150 customer facing retail venues, including training, configuration, installations and upgrades.

His current role is responsibility for presentations and demonstrations of IBM enterprise asset management applications for prospective and existing clients, including system specification, sizing, and configuration. He leads client workshops, PoCs, and PoTs, to assist client’s adapting their technology transformation strategy.

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.

Fiona Greenyer

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