RO Origin的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

透過趨勢和差異分析、目標市場和價值主張定義、風險管理、原型設計和驗證以及以資料為中心的人工智慧方法；以有效的端到端程序，在產品和服務開發中實施人工智慧。 案例研究：無人機產業。

為了解決RO Origin的問題，作者Valentin Jules DE BALTHASAR DE GACHEO 這樣論述：

Creating or enhancing products and services are one of the highest objectives and benefits of AI implementation in businesses, but this topic has not yet received much attention in the literature. This study presents a procedure to guide entrepreneurial, business, and research projects develop comp

etitive solutions integrating AI, more specifically deep supervised learning algorithms using unstructured data. The drone industry is selected as a case study. A transversal method that builds on the main trends and gaps identified in the adoption of AI in businesses is presented and implemented. T

he contribution of this study is threefold: First, the results indicate that the method maximized the chance of commercial success by identifying viable use cases, prevented wasting time and funds, decreased the risks of project’s failure, designed functionalities based on needs and competition, opt

imized data storage, increased model transparency and performance, and guide data collection. The author suggests that the procedure could be applied to other industries. Second, an overview of the drone industry cumulating market, literature and regulation reviews is provided and can guide future p

rojects. Third, the specifications of a drone design are provided and could help focus on the development of AI applications for drones.