Evolving Product Engineering Teams in the AI Era

The artificial intelligence (AI) revolution, particularly the rise of generative AI, necessitates a paradigm shift in engineering organizations. This article draws parallels with the cloud revolution, highlighting the need for deeper integrations of AI expertise within engineering teams. We discuss the evolution of product engineering during the cloud era, emphasizing the transition from specialized functional teams to a more integrated model leveraging cloud-native capabilities. We then delve into the challenges and opportunities presented by AI-integrated products, advocating for a distributed model of AI expertise where AI skills are embedded within existing teams. We outline the benefits of this approach, such as accelerated development, deeper AI understanding, and a culture of continuous learning. Finally, we address the challenges of talent gaps, cultural resistance, and integration complexity, offering strategies for mitigation. By embracing a proactive and strategic approach, engineering organizations can successfully navigate the AI revolution and reap its full benefits.

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Publication Details

Journal
IEEE Engineering Management Review
Published
2024-08-13
DOI
https://doi.org/10.1109/emr.2024.3442970
Citations
5
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
1.82
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article

Evolving Product Engineering Teams in the AI Era

Sriram Panyam, Praveen Gujar, Gunjan Paliwal
5 citations
IEEE Engineering Management Review
Technology Assessment and Management
1.82
article

Evolving Product Engineering Teams in the AI Era

Sriram Panyam, Praveen Gujar, Gunjan Paliwal
article en
5 citations

Abstract

The artificial intelligence (AI) revolution, particularly the rise of generative AI, necessitates a paradigm shift in engineering organizations. This article draws parallels with the cloud revolution, highlighting the need for deeper integrations of AI expertise within engineering teams. We discuss the evolution of product engineering during the cloud era, emphasizing the transition from specialized functional teams to a more integrated model leveraging cloud-native capabilities. We then delve into the challenges and opportunities presented by AI-integrated products, advocating for a distributed model of AI expertise where AI skills are embedded within existing teams. We outline the benefits of this approach, such as accelerated development, deeper AI understanding, and a culture of continuous learning. Finally, we address the challenges of talent gaps, cultural resistance, and integration complexity, offering strategies for mitigation. By embracing a proactive and strategic approach, engineering organizations can successfully navigate the AI revolution and reap its full benefits.

IEEE Engineering Management ReviewVol. 53(4)
LinkedIn (United States) (US), DigiLens (United States) (US), Metro Transit (US)
Openalex Percentile: Top 16%
Technology Assessment and Management
1.82
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