How artificial intelligence is redefining apps
人工智慧如何重新定義應用程式

In his recent article, Brian Gorbett talked about demystifying artificial intelligence (AI) and machine learning (ML), proclaiming that every business in the world should be an AI company. In this article, I concur that claim and base it on three factors:
Brian Gorbett 在最近的文章中談到了揭開人工智慧 (AI) 和機器學習 (ML) 的神秘面紗，宣稱世界上的每個企業都應該是人工智慧公司。在本文中，我同意這一說法，並基於三個因素：

1. Businesses are now recognizing more and more the power of collecting large quantities of data to improve business processes.
   企業現在越來越認識到收集大量數據來改善業務流程的力量。
2. Increased availability and lower cost of Compute.
   提高可用性並降低計算成本。
3. Advances in algorithms. 演算法的進步。

Together, these factors are beginning to revolutionize the way organizations in every industry conduct the way they do business and are on their way to revolutionizing the way developers build their apps.
這些因素共同開始徹底改變每個行業的組織開展業務的方式，並正在徹底改變開發人員建立應用程式的方式。

How AI is redefining apps
人工智慧如何重新定義應用程式

In simple terms, AI is technology that has been designed to emulate human reasoning. Intelligent machines take mounds of data, learn from it, and redeploy outputs that automate and increase personal and professional efficiencies.
簡單來說，人工智慧是一種旨在模仿人類推理的技術。智慧機器獲取大量數據，從中學習，並重新部署輸出，從而實現自動化並提高個人和專業效率。

For example, how many people do you know that use a virtual assistant? Starting in 2011 with Siri and followed closely by Cortana, Alexa, Google Assistant, and Bixby, conversational interfaces have allowed us to voice—not type—our requests. Need to set an appointment, know the song playing on the radio, track a package, or make a reservation? Just ask. They understand what we say through AI-powered technology. 
例如，您認識有多少人使用虛擬助理？從 2011 年的 Siri 開始，緊隨其後的是 Cortana、Alexa、Google Assistant 和 Bixby，對話式介面讓我們能夠透過語音而不是打字來表達我們的請求。需要預約、了解收音機中播放的歌曲、追蹤包裹或進行預訂嗎？就問吧。他們透過人工智慧技術理解我們所說的內容。

Another example of AI’s influence is seen in the financial industry – transformed by technology, benefiting from increased visibility and task automation. In addition, cash flow decisions, forecasting, scenario planning, comparing “what-if” options, and compliance is becoming easier because of AI.
人工智慧影響力的另一個例子是金融業——透過科技的轉變，受益於可見性的提高和任務自動化。此外，由於人工智慧，現金流決策、預測、場景規劃、比較「假設」選項以及合規性變得更加容易。

So, with AI becoming ingrained within our culture, industries, and user expectations, developers such as yourself need to start rethinking the way you develop your apps.
因此，隨著人工智慧在我們的文化、產業和用戶期望中根深蒂固，像您這樣的開發人員需要開始重新思考開發應用程式的方式。

Traditionally, software development begins with coming up with a great idea for an app. You then code your mobile app. Only after these steps is AI added to enhance the application. I believe that’s going to change.
傳統上，軟體開發始於為應用程式提出一個好主意。然後，您對行動應用程式進行編碼。只有在這些步驟之後，才添加人工智慧來增強應用程式。我相信這種情況將會改變。

AI will be moving from an add-on to an integral component of the app from the get-go.
人工智慧將從一開始就從應用程式的附加元件轉變為不可或缺的元件。

This development shift can be compared to the introduction of mobile. Apps were first developed for desktop/laptop usage, followed by the development of the mobile version. That flipped when tablet and smartphone usage dominated the landscape, introducing the “mobile-first” software development approach we see today.
這種發展轉變可以與行動技術的引入相比較。應用程式最初是為桌上型電腦/筆記型電腦使用而開發的，隨後開發了行動版本。當平板電腦和智慧型手機的使用佔據主導地位時，情況發生了逆轉，引入了我們今天看到的「行動優先」軟體開發方法。

Developing your app for mobile consumption is now the norm; developing your app with AI first (not last) will be the new norm.
開發行動消費應用程式現已成為常態；首先（而不是最後）使用人工智慧開發應用程式將成為新的規範。

The benefits of an AI-first approach
人工智慧優先方法的好處

We already touched on some examples of how AI has positively impacted our personal and professional worlds, but let’s look at a few more benefits of an AI-first approach to app development.
我們已經討論了人工智慧如何對我們的個人和職業世界產生積極影響的一些例子，但讓我們看看人工智慧優先的應用程式開發方法的更多好處。

Making AI the nucleus of your app will deliver:
讓人工智慧成為應用程式的核心將帶來：

• Continuous, automated analysis of user behavior and patterns: information you need to make your app even more user friendly
  對用戶行為和模式進行持續、自動的分析：使您的應用程式更加用戶友好所需的信息
• The high-quality, custom experience users are now expecting. For example, product recommendations, notifications, and content based on their behavior and preferences.
  用戶現在期待的高品質、客製化體驗。例如，基於他們的行為和偏好的產品推薦、通知和內容。
• The learning, reasoning, and solutions required to improve your app (possible through advanced technology and machine learning, not human trial and error.
  改進應用程式所需的學習、推理和解決方案（可以透過先進技術和機器學習，而不是人工試驗和錯誤）。

The result? A mobile app that seemingly optimizes itself using data gleaned from the behavior of the users your app was designed for in the first place.
結果？一款行動應用程序，它似乎使用從您的應用程式最初設計的用戶行為中收集的數據來優化自身。

Smarter, more accurate, connected—there’s no end to the benefits of lassoing the power of AI technology. Intuit has already recognized the benefits in QuickBooks Online, as seen with our AI-powered suggestions for payment due reminders.
更聰明、更準確、更互聯——利用人工智慧技術的力量帶來的好處是無窮無盡的。 Intuit 已經意識到 QuickBooks Online 的優勢，從我們基於人工智慧的到期付款提醒建議即可看出。

Bottom line: AI has been here for a long time, and it’s here to stay. As a developer, if you want it to succeed, you should be prepared to see—and embrace—changes in the process, tools, and programming languages you use when developing your mobile app.
底線：人工智慧已經存在很久了，而且會一直存在。作為開發人員，如果您希望成功，您應該準備好看到並接受開發行動應用程式時所使用的流程、工具和程式語言的變更。