科技大趨勢 - AIoT

AI (人工智能)跟IoT(物聯網)都是當前熱門的科技話題,而未來的趨勢將會是將兩者結合的技術– AIoT。簡單來說,它就是將IoT的技術中導入人工智慧,使本來單純互相連接的裝置擁有學習、分析並做出決策的能力,為人類帶來更加便利的生活。

智能家居作為IoT的一個成功應用,在導入人工智慧後,為我們的生活帶來了更多便利。舉一個簡單的例子,當你早上起床時,智能家居系統可以自動調整房間燈光並播放你喜歡的音樂。當你外出時,系統會自動關閉不必要的電器從而節省能源。而系統當檢測到你即將回家時,它會提前啟動空調。這些智能化的行為都是因為智能家居學習了你的日常習慣並根據你的偏好進行自動調整。

如果將AIoT應用在企業上,也會帶來許多好處,它能夠自動化及優化企業流程,實現智能監控、自動化控制及預測性維護。例如AIoT可以自動檢測並自行解決生產線上的故障,從而節省人工排錯的時間及成本。另外AIoT因為結合了大數據的分析再加上機器學習的技術,能夠在海量數據中提取有價值的數據用於預測需求,優化供應鏈或改進產品的設計等等。提升各企業在市場中的競爭力,並幫助其更加快速的做出決策。

然而,即使是如此便利的技術,都必然伴隨著資訊安全的風險。AIoT 系統因需要大量的數據收集及共享,其中可能會包含不少的個人身份資訊,位置信息甚至是健康數據,從而增加個人私隱存取或利用的風險。而AIoT中許多IoT設備或在實施方面仍然存在不少安全漏洞,加上該系統需要使用無線網路進行通信,使系統更容易成為網路攻擊的對象。

AIoT的確可以為個人為企業帶來不少的好處,並在科技領域中也逐漸成為主要趨勢。但我認為與其僅僅關注如何應用AIoT,更值得去討論如何在設備安全,監控檢測,教育培訓甚至是法規方面去最大程度減少資安方面的風險。


尹展軒
Senior IT Consultant

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Speed Without the Sprawl

Leveraging OutSystems' rapid development strengths, our team achieves true Agile development, focusing intensely on user requirements. However, requirements are never fixed; they take time to refine within the project's cycle. If a developer simply builds projects based on the initial requirements, it leads to significant rework when those requirements are inevitably revised. This creates serious technical debt that can derail a project's schedule. To combat this, we strictly follow the OutSystems Canvas Design architecture to define each module's usage and content. We generalize logic into foundational modules, optimizing reusability and providing high adaptability when requirements change. This approach allows us to eliminate complicated dependencies—avoiding the deployment nightmares that plague monolithic systems. The Real-World Challenge: "The Spaghetti Monolith" We’ve all seen it. A project starts fast. The "Idea-to-App" time is record-breaking. But as sprints pass and requirements evolve, the "interest rate" on technical debt spikes. Suddenly, changing a simple UI element breaks a core business process because the logic was trapped inside the screen. Deployment becomes a "big bang" event where everything must go live at once because of circular dependencies. In our team, we don't just "code fast"; we architect for resilience. Our Solution: The 4 Layer Canvas Strategy We treat the 4 Layer Canvas not just as a suggestion, but as our structural imperative. Here is how we use it to handle volatile requirements:  Isolating Volatility (End-User Layer): We keep our User Interfaces (UI) and interaction logic in the End-User Layer. This layer is highly volatile—it changes constantly based on user feedback. By isolating it, we can redesign a "Customer Portal" without risking regressions in our core business rules.Stabilizing Business Logic (Core Layer): We abstract our entities and business rules into the Core Layer. This is the backbone of our factory. Whether the data is accessed by a Mobile App, a Web Portal, or a Timer, the validation rules remain consistent. This promotes the "Don't Repeat Yourself" (DRY) principle.Enabling Independent Deployments: By using Service Actions (Weak Dependencies) in our Core layer, we decouple our modules. This allows different squads to deploy changes independently without forcing a factory-wide refresh—a critical enabler for our CI/CD pipelines.The Governor: AI-Driven Architecture How do we ensure we stick to these rules when moving at Agile speeds? We don't just rely on manual code reviews; we use the AI Mentor System. This tool acts as our automated architect. It scans our entire factory to detect architectural violations that humans might miss, such as: Upward References: Preventing foundational libraries from depending on business logic.Side References: Ensuring our End-User apps don't tightly couple with one another.Circular Dependencies: Identifying the "deadly embrace" between modules that locks deployments.The AI Mentor System quantifies this debt, allowing us to pay it down proactively before it hinders our release velocity. Join a Team That Values Architecture In our Taiwan office, we believe that low-code doesn't mean "low-architecture." We are building resilient, composable enterprise ecosystems that can scale. If you are a developer who cares about structural integrity, clean code, and mastering the art of OutSystems architecture, we want to hear from you.