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The Intersection of Humans and Technology at the Edge | Intel Technology

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Do you know where your data is being processed?

In this InTechnology video, Camille talks with Joannie Fu, Vice President of the Network & Edge Group (NEX) Execution Office at Intel. They get into the definition of the edge along with the effects of AI on the edge and our future generations.

Defining The Edge

Although there isn’t yet a universally accepted definition of the edge in the industry, Joannie broadly describes it as the infrastructure that extends beyond the traditional data center or public cloud—considered the core. The edge focuses on the collection, processing, and storage of networking and communication data that transpires between the data center (the core) and various endpoint devices (the edge). There are nuanced differences between the “near edge” and “far edge,” depending on the proximity of computing resources to the data center. Edge devices can vary widely, ranging from smartphones and self-driving cars to shopping centers, fast-food restaurants, and beyond. Presently, there’s no standardized approach for processing edge data, and Joannie believes that the entity capable of streamlining this will gain a competitive advantage in the sector.

The Edge, AI, and the Next Generations

AI is swiftly transforming computing at the edge. Joannie cites the example of smart classrooms, which leverage AI at the edge to monitor student engagement and allow teachers to modify their instructional techniques based on real-time feedback. Nevertheless, there are worries about the potential for human biases to be incorporated into AI and edge-intelligent devices. There’s been an evolving cycle of development for edge technologies, starting from PCs in the ’80s and ’90s to today’s smartphones and other smart edge devices. Each wave of innovation has required time for new standards and ecosystems to emerge. This absence of standardization raises concerns about data privacy in edge computing. According to Joannie, the crucial question moving forward is how to balance innovation at the edge while establishing appropriate regulatory frameworks. Looking to the future, Joannie contends that the attributes setting humans apart from AI will be skills rooted in human interaction, like leadership, the constant questioning of acquired knowledge, and the ability to connect ideas across various fields.

Joannie Fu, Vice President of the Network & Edge Group (NEX) Execution Office at Intel

Joannie Fu the edge edge compute AI

Joannie has been a part of Intel for two decades. She began her journey as a Construction Program Manager, responsible for overseeing the building of fabrication plants. Intrigued by the semiconductor manufacturing sector, she furthered her studies in electrical engineering, industrial engineering, and manufacturing engineering. Currently, Joannie serves as the Vice President of the Network & Edge Group (NEX) Execution Office, channeling her enthusiasm for the convergence of technology and human society to address some of the world’s most pressing issues. She earned a spot on Fast Company’s 2023 Queer 50 list. Her educational background includes an MBA in Internet Marketing and eCommerce Strategy from the Paul Merage School of Business at the University of California, Irvine. She also holds another MBA, specializing in eCommerce Strategy in Asia, from the HKUST Business School, along with a Bachelor’s degree in Architecture and Structural Engineering from California State Polytechnic University–Pomona.


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The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.


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