Toward Autonomy: The People, Process and Technology Challenges
Artificial Intelligence (AI) promises huge in-process savings through transparency, higher yields through real-time monitoring and control, and back end savings as manufacturers migrate toward autonomous operations. But what does this all mean, and how do manufacturers prepare for these new opportunities? Companies hoping to achieve this Industry 4.0 level of manufacturing operation must address some important issues (1) how to build data driven thinking within the workforce; (2) how to identify goals for AI and then link these to the compute architecture; and (3) how to jump the ambition to execution gap? The challenge is a system of systems problem. It involves people, processes and technologies and no single vector will be sufficient for success.
Vice President, IOTG Group and General Manager, industrial Division at Intel Corporation
Christine is a vice president in the Internet of Things Group (IOTG) and general manager of Intel’s Industrial Solutions Division. Her organization is responsible for Intel’s Industrial IOT business within the manufacturing, energy, logistics and commercial building segments, including the product and ecosystem strategies for this rapidly evolving space.
Boles joined Intel in 1992 as an application engineer for 16 bit microcontrollers. For 25 years, she has led development, delivery and the enabling of customers and ecosystems for Intel based solutions in many managerial roles. These solutions span a broad range of embedded and internet of things applications across many industries, including communications, storage, retail, imaging and commercial buildings.
Boles holds a Bachelor of Science in Electrical Engineering from University of Cincinnati and an MBA from Arizona State University.
End-User, Enterprise, OEM
AI, Manufactring, Data, Technology, Autonomous
CxO, VP / Director, Middle Management, Technical, Business Line Management, Operations
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