Product Development with AI, VR, and AR
Introduction
By Jon M Quigley
In today’s complex and rapidly evolving technological landscape, application to product development AI, VR, and AR tools positively reshape the way products are designed and developed. These innovative technologies enable teams to optimize concept generation, refine product and system use case requirements, and enhance verification processes, making product development more efficient and customer-focused.
Our book illustrates using AR, VR, and modern tools for product development.
AI, VR, AR, and Concept Generation and Selection
Product development using AI, VR, and AR tools are pivotal in generating and selecting product concepts. AI-driven algorithms analyze market trends, customer needs, and potential use cases to offer data-backed insights during brainstorming and ideation phases. Meanwhile, VR and AR environments allow engineers to visualize product concepts interactively, are mechanisms for customer feedback, and foster collaborative decision-making across geographically dispersed teams. Tooling and prototyping take time can be expensive and have longer project time horizons for changing.
For instance, VR technology enables virtual prototyping, allowing stakeholders to evaluate and adjust design parameters without needing costly physical prototypes. This ensures alignment with initial design intentions while accelerating decision-making processes.
Defining Use Case Requirements
AR enhances the creation of detailed use case scenarios by overlaying virtual annotations in real-world environments. This multimodal approach improves the clarity of product functions and interfaces, ensuring that all design requirements align precisely with end-user needs.
Additionally, AI facilitates the analysis of Big Data from telemetry systems to extract actionable insights. These insights are invaluable in tailoring product functionalities to meet specific use cases, ensuring relevance and user satisfaction.
AI, VR, AR, Verification Processes
AR and VR technologies have significantly enhanced verification and validation (V&V) processes. Engineers can use VR simulations to test product behavior under virtual conditions that mimic real-world scenarios. This reduces development costs and uncovers potential design flaws early in the process.
AR tools streamline verification by enabling engineers to overlay virtual models onto physical components, ensuring seamless integration and functionality. AI complements these efforts by analyzing test data and identifying anomalies, thus providing a data-driven foundation for continuous improvement.
Conclusion
Integrating AI, VR, and AR tools into product development transforms how companies innovate, enabling faster time-to-market, enhanced customer satisfaction, and more efficient workflows. As these technologies evolve, their impact on concept generation, use case definition, and verification processes will undoubtedly expand, driving further advancements across industries.
We intend to be at the SAE International World Congress 2025 for an author meet and greet and to present our thoughts on the practical use of these tools.
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