ACM - P1
https://doi.org/10.1145/3658321.3658367 https://doi.org/10.1145/3701625.3701656 https://doi.org/10.1145/3613904.3642700
ACM - P2
Scholar Pg1
Accelerating Time-to-Market: The Role of Generative AI in Product Development
G Paliwal, A Donvir, P Gujar… - 2024 IEEE Colombian …, 2024 - ieeexplore.ieee.org
… Furthermore, GenAI enhances team collaboration through … All of these activities add
complexity that has the potential to … Prompt given to GPT-4o: You are an expert Product Manager …
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Accelerating innovation with generative AI: AI-augmented digital prototyping and innovation methods
V Bilgram, F Laarmann - IEEE Engineering Management …, 2023 - ieeexplore.ieee.org
… brief overview of the use cases for LLMs in the first two phases, our focus will be on AIaugmented
prototyping of digital products. While LLMs can improve and accelerate the process of …
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Same author (do more)
Comparing the ideation quality of humans with generative artificial intelligence
J Joosten, V Bilgram, A Hahn… - IEEE Engineering …, 2024 - ieeexplore.ieee.org
… 4) This study highlights the potential and limitations of generative AI within the innovation …
Bilgram and F.Laarmann,“Accelerating innovation with generative AI:AIaugmented digital …
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From Hybrid to AI-First Innovation Management
S Biel, A Hahn, V Bilgram… - IEEE Engineering …, 2025 - ieeexplore.ieee.org
… The rise of generative Artificial Intelligence (AI) in traditionally human domains of creativity
… product innovation management. In this article, we investigate the evolving role of innovation …
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Leveraging Generative AI in Enterprise Contexts: Towards a Paradox Theory and Organizational Boundary Work Approach
A Viljoen, A Hein, P Constantinides, H Krcmar - 2024 - aisel.aisnet.org
… By exploring how and why firms organize their GenAI activities, we suggest … Senior GenAI
product manager … We also show how the GenAI value chain distinguishes itself from the value …
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Artificial intelligence: how can Gen-AI tools support the current business models of the firms and add value?
CS Scappaticci - 2023 - bibliotecadigital.fgv.br
… such as the one-person enterprise, which can be a redefining … , Gen AI and other AI tools can
alter and improve the revenue … Gen-AI being used as only a supportive tool for key activities …
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The impact of Artificial Intelligence on businesses. The case of Bluewind
A Pascon - 2024 - unive.unitesi.cineca.it
… use cases on generative artificial intelligence in business will … from utilizing GenAI in their
everyday activities and some of … For example, the risk of gaps in the GenAI system resulting in …
Generative AI also enables a revolution in product design through rapid and large-scale optimization: designers can swiftly iterate and refine concepts, significantly accelerating the design process. Beyond aesthetics, it contributes to structural efficiency, identifying designs that maximize strength and durability while minimizing material usage, resulting in substantial cost savings. To fully harness its potential, generative design should be integrated seamlessly throughout the product life cycle, from initial conception to manufacturing and testing. Furthermore, by analyzing user feedback, product managers can leverage AI to create designs that precisely align with customer preferences, driving products’ success.
How European software can play to its strengths. McKinsey & Company. Bevan, O., Chui, M., Kristensen, I., Presten, B., & Yee, L. (March 2024). Implementing generative AI with speed and safety. QuantumBlack AI by McKinsey.
Booth, B., Donohew, J., Wlezien, C., & Wu, W. (2024, March 5). Generative AI fuels creative physical product design but is no magic wand. Tratto da McKinsey Digital: https://www.mckinsey.com/capabilities/mckinsey-digital/ourinsights/generative-ai-fuels-creative-physical-product-design-but-is-no-magicwand
Cautela, C., Dell’Era, C., Mortati, M., & Gastaldi, L. (July 2019). The Impact of Artificial Intelligence on Design Thinking Practice: Insights from the Ecosystem of Startups. Strategic Design Research Journal, Strategic Design Research Journal.
Gartner, Inc. (2023). Unlocking the Potential: GenAI’s Impact on Product Innovation and Growth.
Gibson, K. (2024). AI-DRIVEN BUSINESS MODELS: 4 CHARACTERISTICS. Harvard Business Review.
Greenstein, B., Light, C., & Likens, S. (April 2024). The path to generative AI value: Setting the flywheel in motion. PwC.
ACM
Unfamiliar measurements usually hinder readers from grasping the scale of the numerical data, understanding the content, and feeling engaged with the context. To enhance data comprehension and communication, we leverage analogies to bridge the gap between abstract data and familiar measurements. In this work, we first conduct semi-structured interviews with design experts to identify design problems and summarize design considerations. Then, we collect an analogy dataset of 138 cases from various online sources. Based on the collected dataset, we characterize a design space for creating data analogies. Next, we build a prototype system, AnalogyMate, that automatically suggests data analogies, their corresponding design solutions, and generated visual representations powered by generative AI. The study results show the usefulness of AnalogyMate in aiding the creation process of data analogies and the effectiveness of data analogy in enhancing data comprehension and communication.