校正 3 個心態,跨越自學程式門檻

Enid Tian, Head of AppWorks School (田育欣 / 之初學校校長)

Team AppWorks 原生成員,2011 年起以實習身份加入,畢業後升格為投資分析師,而後轉任 AppWorks School 校長。台大財金系畢,輔 AIESEC & 國標系。

近年來線上課程蓬勃發展,不少學習平台如 Udemy、Udaciy、Khan Academy 等,都提供多元豐富的軟體開發課程,引領「自學程式」風潮。若是應用得當,半年以內就可以學有所成,讓沒有相關背景的新手,踏上軟體開發之路,現在,想要轉職到程式開發相關的工作,其實不需要再念四年大學或兩年研究所。

儘管如此,在 AppWorks School 過去三年多來,輔導上百人轉職成軟體工程師,其中有不少申請者都是在自學途中,遇到難以獨自突破的瓶頸,所以選擇報名參加 AppWorks School 為期 16 週的免費程式課程 (目前有 Android、iOS、Web 專班)。因此,我們想從實際的觀察中,分享我們認為程式自學者應該校正的三個心態,希望能幫助更多人跨過學習障礙,早日成為心目中的軟體工程師:

一、釐清學習目標,先專注在一個領域上

首先,軟體開發新手在一開始接觸程式開發時,很容易迷失在廣大的 CS 知識中,不知道該從哪裡下手。也經常會有各種道聽途說:「聽說 Python 很適合新手」、「聽說前端比較好入門」、「聽說 Java 的工作機會最多」,在各種資訊轟炸之下,許多初心者經常會一下學 Python,一下學 JavaScript,但都侷限在很初階的程度,且往往學到一半,才發現跟自己預設的目標沒有直接相關,花費了大把的時間跟精力,卻徒勞無功。

我們建議,新手在程式開發上可以採取「目標導向式學習」,先設定一個清楚的目標,再去安排自學計畫與步驟。例如,如果想要做網頁應用,那麼應該直接從 HTML /  CSS / JavaScript 入門;如果想要開發手機 App,則依開發的平台 iOS 或 Android 來選擇學習 Swift 或 Kotlin,減少繞遠路的時間成本。

如何安排自學路徑?實際上,網路上已經有不少軟體工程師的過來人,分享從事各種工作應學習的技能樹 (如下圖),新手在學習的過程中,可不時確認自己正在學習的內容,是否與目標相關,若發現偏離目標,才能即時喊停,將學習的效益發揮到最大。

前端開發技能樹 (部分擷取),清楚描繪新手的學習路徑。資料來源:GitHub

二、檢視學習瓶頸,增加時數或深度

選擇要專注的領域後,另一個新手常見的誤區,就是經常反覆學習「已知的知識」。變成一直在新手圈裡跨不出去,我稱之為「新手舒適圈」。舉例來說,許多 Web 開發新手,經常反覆學習各種 HTML 標籤,卻遲遲做不出想要的網頁畫面;Android 開發新手,則持續練習處理靜態的畫面、簡單的按鈕互動,卻不知道怎麼串接後端資料、處理用戶的網路行為。

之所以會有這個現象,背後通常來自兩個原因。第一,許多新手都是透過影片或短期課程兼職學習,若投入練習的時數不夠,很容易學了就忘,可能前一晚看了影片,隔天有事情沒練習,後天就忘記了,只好重看一次複習,若這次又來不及複習,過幾天可能又得重來一次,就這樣無限循環,卻遲遲無法突破。

這種情形通常是練習與實作的時間不足,必須重新安排學習計畫。我們建議,若想兼職學習有成,每週至少需花 15-20 小時,一次至少安排連續兩小時的時段,例如,平日晚上需有 2-3 天晚上,投入 2-3 小時,週末兩天則需各投入 6-8 小時,才能有所累積。

第二個原因,則是當新手想挑戰較進階的題目、感到困難時,很容易會想「一定是我的基礎不夠好,才會不知道要怎麼做」。所以會反覆的觀看已經看過的影片,花時間重複學習基礎知識,但往往只能加深原有的記憶,對眼前的問題仍然一籌莫展。

在實務上,進階的問題,很可能需要進階的知識才能解決,原本的學習資源或許未能涵蓋。因此,建議這時新手該做的事情,是搜集、閱讀更多「進階知識」,甚至在這個階段,還需要觀摩前人的做法,先模仿、再理解,才有機會突破瓶頸,讓自己更上一層樓。

這不代表基礎不重要。而是要提醒,如果發現自己總是一樣的東西學了又學,或同樣的影片看了三次,卻說不出自己的成長、做不出想要的東西時,就該檢視到底是投入的時間不足,或者該學習更深入、更進階的內容。

三、多開口請教,從別人的經驗中學習

通常初心者都有 1-2 個工程師朋友,當初也可能是受到他們的啟發所以想學習程式。但是在自學的過程中,卻往往不敢開口請教,以為是自己讀得還不夠多,所以不好意思麻煩別人,卻導致在一個問題上花費了過多的時間,累積不必要的挫折感,終至放棄學習。

舉例來說,許多開發環境都有系統 Bug,若待機久了運作上會失常,即使是沒有缺失的程式碼,也有可能跑不出應有的結果。此時有經驗的工程師,會試著「重新開機」或著手解決系統的問題,不到 10 分鐘問題就解決了,但缺乏實務經驗的初心者,通常不會想到原來不是程式碼的問題,糾結許久卻苦無頭緒,可能要等到兩、三天後,意外將開發環境關掉重開,問題才突然解決。

這種心態,與其說是「怕麻煩別人」,通常往往是「怕自己問了笨問題」。但問題本身其實是中性的,越是去評價問題的優劣好壞,越容易讓自己陷入不敢提問的困境。反之,若能將每一個問題單純視為學習的機會,越快解決問題,就越快累積經驗值,才越有機會成為合格的軟體工程師。

當然,靠自己的能力解決問題,會有很大的成就感,但若發現自己已經困在同一個問題好幾個小時了,不妨開口向工程師朋友請教,透過他們的經驗,幫助自己更快速成長。如果真的覺得朋友很忙,網路上的技術討論社群如 Front-End Developers TaiwanAndroid TaipeiiOS@Taipei 等,都很歡迎新手張貼問題,也會有熱心的工程師前輩幫忙解答。

總結來說,拜網路產業開源風氣之賜,程式開發相比於其他技能,有非常多的網路學習資源,卻也容易讓新手迷失,希望以上三點提醒,能夠幫助初心者檢視自己的學習問題,進而有所突破。

【如果你希望透過高效、密集的學習環境來幫助你,也歡迎你申請加入 AppWorks School

Photo by Free-Photos on Pixbay

加入優質新創,是年輕人最好的自我投資

Antony Lee, Communications Master (李欣岳 / 媒體公關總監)

負責媒體與社群溝通相關輔導。加入 AppWorks 前有 18 年媒體經驗,是台灣第一批主跑網路產業的記者,先後任職《數位時代》副總編輯、《Cheers 快樂工作人》資深主編、SmartM 網站總編輯。畢業於交大管科系,長期關注媒體產業變化,熱愛閱讀商業與科技趨勢、企業與人物故事,樂於與人交流分享,期許自己當個「Internet 傳教士」。

對想要持續自我提升的職場工作者而言,在職涯的某個時間點,經常都會問自己這個問題:「我該到知名的大公司,或是規模尚小的新創公司上班?」

對此,我的建議是:不論是大公司或是新創公司的經驗,只要企圖心夠強,都會帶來很好的自我成長。但盡可能在年輕的時候,就能累積至少一段在新創公司的工作經驗,越年輕越好。因為這樣的經驗,會為自己未來的職涯,累積更多實力,進而開啟更多可能性,而越年輕,自我探索與勇於嘗試的機會成本越低,成長的斜率卻更高,把時間拉長,能為往後人生帶來更大的總價值。

AppWorks 創辦人 Jamie 林之晨就是最好的例子之一。他分享,他曾經在國中打電動被記過、大一被當了 15 學分,是一個輸在起跑點的年輕人。但現在以 41 歲年齡,當上年營收 1,200 億新台幣、台灣市值第 17 大的台灣大總經理,成為同儕中較早達到「折返點」的代表。過去 20 年,作為創業者所得到的訓練,是讓他可以輸在起跑點,卻在折返點趕上的原因。

Jamie 進一步指出,這不代表成績不重要,而是年輕人應該把自己放在對的環境,才能找到自我學習、成長的動力。加入優質新創的工作,正好提供給年輕人大量自我探索、運用新科技新方法、尋找新趨勢、創新商業模式、發現並解決問題的機會,為自己創造往後在職場上「彎道超車」的機會。 近期,AppWorks 針對我們創業生態系中的新創,舉辦了「科技新創聯合大徵才」(Startup Job Fair),共有 88 家優質科技新創,提供 513 個熱門職缺。有關 AppWorks 生態系中各新創有關人才的問題,AppWorks 招募輔導長 (Recruiting Master) Izza 林于荃,平常就頻繁的協助新創招募優秀人才,對於新創徵才、用人,以及工作者求職,有深刻且廣泛的第一手觀察;對於這次的科技新創聯合大徵才,我也和她一起討論了我們的整體觀察,很值得分享給想要加入新創的工作者。

從工作者的角度,建議可從兩個問題去盤點、思考自己的職涯規劃:

為什麼加入新創的工作,是年輕人最好的自我投資?

相較於制度完善、發展成熟的大公司,新創最大的不同,就是處於產業風口、成長快速,但人力精簡、變化多且快,沒有太多可以參考的既定 SOP 或過往成功經驗,為了求生存或 Time to Market,不論是商業模式、發展策略、產品或服務,隨時都可能調整、優化,經常會從市場反饋中,修正預定的計畫與執行方式,工作節奏需要快、狠、準。

選擇在新創工作,也因此可以為個人帶來幾個價值,甚至可能影響往後幾十年的職場人生:

快速累積專業能力

如何為自己帶來學習與成長,是衡量一份工作的重要條件之一,而在新創工作,累積專業能力的速度最快。因為面對市場機會與變化,透過小步快跑的調整速度,是新創相較於大公司最重要的競爭力,在新創工作者身上最常見的,是以每天、每周為期來快速調整工作內容,每一個工作產出的成果,都可以快速獲得內外部的檢視與回饋,進而必須克服遭遇的瓶頸、問題、阻礙,這會促使工作者使出十八般武藝,還不會的就趕快找人問、找方法學、找資源解決,自然能快速累積專業能力。

多樣性的工作內容,開啟未來更多可能

在人力與資源有限的新創中,分工不如大公司精細,往往是一人身兼數職,工作涵蓋的範圍更為廣泛。這往往也讓人能在工作中重新認識自己。因為對於工作的理解,不管在學校真的學了什麼、問了多少人、找了多少資訊,在真正投入一份工作角色前,這些都比較像是「霧裏看花」的想像,只有真正做了才知道。新創工作身兼多職的特色,恰巧提供工作者重新認識自己,到底對哪一類工作真的有興趣與能力的機會,很有可能到這時才發現「原來我適合做這樣的工作,跟當初的想像完全不同」,直到這個時候,才真正體會到「做自己所愛、愛自己所做」的工作意義。

擁有更高度的工作視野,成為有影響力的人

在新創的工作,沒有任何人只能當顆螺絲釘,尤其是在快速成長期的新創內,每個人的工作內容,都能直接影響公司的成長,甚至都要肩負一定程度的成敗責任。此外,在新創的工作者,有更多從企業經營角度看待事情的機會,因為內部溝通層級少,很有可能是直接與創辦人、CEO 討論工作內容,能從他們的高度與角度,去看待自己的工作價值。

能力比年資更重要

對新創來說,不論是求生存、快速掌握趨勢機會,或是創造快速成長,經常都是處於高度的時間與速度壓力下。在內部,往往沒有太多餘裕去「敬老尊賢」、「官大學問大」,具備真正戰力的人才,才是最重要的資產,而具備戰力跟年紀與工作資歷,未必有直接關係。更看重能力而非年資的工作環境,當然對年輕人有利。

如果新創成功,個人跟著起飛

一旦新創獲得商業成功,經歷過草創階段、一路走來的員工,個人的身價與名聲,自然跟著水漲船高。對於職涯的選擇,Google 前執行長 Eric Schmidt曾說過一句名言:「如果有人給你一個在火箭上的位子,不用問它在哪裡,上去就對了!」(If You’re Offered a Seat on a Rocket Ship, You Don’t Ask What Seat. You Just Get On.)

即使新創失敗,工作經驗卻無價

對年輕工作者來說,猶豫不加入新創公司的各種考量中,擔心「若公司失敗,將對我的履歷造成負面影響」,是最常見的錯誤觀念之一。事實上,正好相反,不論前一份工作的公司成敗與否,每個人在工作中學到的經驗、踩過的地雷、得到的教訓、犯過的錯誤、多走的冤枉路,才是個人履歷上加分的重點,也是最珍貴的職涯資產,因為這些是自己親身經歷過、別人偷不走、未必有機會學到的獨特經驗,而新創的工作,能在同樣的工作時期,提供更多這樣的工作經驗。

新創需要的人才,重視哪些特質?應徵時如何展現?

面對高度風險、變化快速、創新突圍不易、人人是精兵的現實環境下,新創對於人才的需求,以及所重視的特質,與大企業不盡相同。在新創的工作者,不管是什麼職務,普遍來說都要具備幾種特質:學習能力強、具備廣泛的好奇心或興趣、正向思考、自我激勵、樂於嘗試新事物、高度執行力、負責任⋯⋯等。

因為創新、創業的本質,就是做別人沒做過的事情,往往沒有前人的成功經驗可參考,必須經常嘗試新科技、新思維、新方法。相對地,也有很高的比例會遭遇到挫折,並從中找到突破之道,甚至成為問題的最後一道防線,必須在手中把問題解決,而不是坐等同事或主管的協助。

對想要投入新創工作的年輕人來說,因為工作經驗不多,在應徵時,除了學歷、社團或是有限的實習經驗外,如何展現個人獨特的特質,證明自己適合所應徵的新創工作?

建議可在履歷中或是面試時,深度分享一到兩個自己的生活體驗,不論是課內學習、課外活動、實習經驗,都是值得思考的角度。例如,對於曾經遭遇的困難或失敗,如何面對?嘗試過哪些方式解決?尋求了哪些幫助或資源?或是曾經做過哪些原本不熟悉、充滿挑戰的事情?或是在既有的前人經驗或資訊下,做了哪些不一樣的嘗試?

對新創來說,這些都可算是「面試考古題」。因為透過這些問題,可以觀察求職者的思考過程、個性態度、做事方式,確認是否具備符合新創工作的個人特質。

一個人數十年的職業生涯很長,有如一場人生的馬拉松。年輕人選擇新創的工作,起薪未必能比進入知名的大型企業優渥,但把時間拉長,三、五年甚至更長的時間下來,加入新創能比同樣起跑的同儕,為個人累積更多的能力、經驗、視野,在往後人生所帶來的價值增幅,絕對超越起薪的差距,儘管輸在起跑點,卻能贏在轉折點與終點,這才是最有價值的自我投資。

Photo by pixel2013 on Pixabay

探索 2019 年台灣 AI 生態系地圖

Antony Lee, Communications Master (李欣岳 / 媒體公關總監)

負責媒體與社群溝通相關輔導。加入 AppWorks 前有 18 年媒體經驗,是台灣第一批主跑網路產業的記者,先後任職《數位時代》副總編輯、《Cheers 快樂工作人》資深主編、SmartM 網站總編輯。畢業於交大管科系,長期關注媒體產業變化,熱愛閱讀商業與科技趨勢、企業與人物故事,樂於與人交流分享,期許自己當個「Internet 傳教士」。

過去兩年,台灣正快速跟上全球的 AI 浪潮,在各個相關領域蓬勃發展。2018 年,行政院提出「台灣 AI 行動計畫」,全面啟動產業 AI 化,加速產業創新發展;大約在同時間,國發會主導的「亞洲・矽谷計畫」,也將 AI 納入重點發展領域

擁有良好的先天條件,讓台灣逐漸成為大東南亞 (東協各國+台灣) 的 AI 重鎮。包括 Google、Microsoft、IBM 等科技大廠,在過去兩年,陸續宣布在台灣成立亞洲最大的 AI 研發中心。 以 Google 為例,自 2018 年 1 月購併 HTC 手機部門,共獲得 2,000 位工程師、設計師等人才後,緊接著在 3 月啟動「智慧台灣計劃」(Intelligent Taiwan),宣布第一階段,將在台灣招募超過 300 位 AI 工程師,並為台灣培育 5,000 位 AI 人才。而 Microsoft 與 IBM,也都宣布在台灣招募的 AI 工程師規模達數百人。

台灣在發展 AI 上,和大東南亞各國相比,有優秀的人才與完整的產業鏈兩大優勢。在人才方面,台灣每年有超過 10,000 名資訊相關科系的畢業生投入職場,而根據 OECD 統計,台灣學生在科學教育的排名高居全球第 4 名,因此,在 AI 領域中,不論是人才的質量或數量,和大東南亞各國相比,台灣 AI 工程師的水準都具有比較優勢;此外,台灣過去三十年來,在科技製造業累積了深厚的底蘊,在 AI 延伸的 IoT、大數據、工業 4.0 等應用上,台灣的產業聚落,擁有全球獨步的軟硬體整合優勢。

在 AI 新創的表現上,台灣也不斷有值得讓人期待的明日之星冒出頭來。領頭羊 AppWorks Accelerator 於 2018 年中宣布限定招募 AI / Blockchain 新創,至今已經畢業兩期共 65 個新創,其中 39 個是 AI / IoT 新創,也貢獻了台灣 Ecosystem 的蓬勃發展。

數位行銷、電子商務發展成熟,提供 AI 新創成長沃土

根據 AppWorks 的「2019 台灣 AI 生態系地圖」(Taiwan AI Ecosystem Map 2019) 的調查,台灣最早投入 AI 領域的新創,可追溯至 2010 年成立、專攻成效型行銷廣告的 Tagtoo (塔圖科技),除了站穩台灣市場外,Tagtoo 近年也積極拓展大東南亞市場,並在 2018 年,獲得亞洲知名行銷社群 CMO Asia 評選為 2018 年印尼最佳品牌獎

Tagtoo 快速崛起的背後,代表台灣在數位行銷、電子商務高度發展後,進入 AI 時代,已孕育出一批在數位行銷、廣告領域中嶄露頭角的新創。例如,提供 AI 數據跨螢行銷解決方案的 Appier,先後完成從種子輪、A 輪一路到 C 輪的募資,共獲得超過 8,200 萬美元的資金挹注。其他像提供電商個人化推薦模組的 Rosetta.ai、開發再行銷 (Retargeting) 聊天機器人的 Akohub,都是極具代表性的 AI 新創。

AI 新創銜接台灣科技製造能量

在台灣的 AI 新創中,另一個值得注意的趨勢,則是整合軟硬體的 AI 應用,串接台灣科技製造產業鏈。例如,2014 年成立的 Umbo CV (盾心科技),是台灣 AI 新創中,成功進入歐美市場的典範,在超過 30 個國家有長期付費企業用戶,包括緯創、群聯都是 Umbo CV 的股東。Umbo CV 專攻智能安全監控,研發擁有自我學習與分析能力的影像辨識技術,所打造出的軟體平台可透過監控的影像 Data,學習並辨識影像中人、車、動植物等物件,以及侵入、群眾聚集、火災等特殊事件。除了軟體平台,Umbo CV也開發出搭配用的硬體攝影機,用AI科技,改變了監控產業原本要靠保全以肉眼24小時監看的模式。

同樣透過軟硬體整合,開發 AI 應用的新創,還包括利用攝影機和 WiFi 量測的科學數據,提供實體零售業專用商情分析系統的 SkyREC;開發全球第一台 AI 智慧寶寶攝影機的 Cubo;與威盛共同合作開發 Edge AI 3D 套件 的 Lucid;成功研發自駕車輔助系統的 oToBrite (歐特明電子);以及開發 AI 機器人的 AeolusNUWA Robotics 等新創公司。

隨著越來越多 AI 新創冒出頭,台灣在創業加速器、教育、研究等面向,也呈現蓬勃發展。在創業加速器部分,2010 年成立、2018 年 8 月 (AW#17) 起限定招募 AI / Blockchain 新創的 AppWorks Accelerator,目前為止已經畢業兩期 AI / Blockchain 共 65 個新創,其中 42 個做 AI,7 個做 IoT。

AppWorks 之外,也有微軟新創加速器 (Microsoft for Startups)Taiwan AI x Robotics Accelerator 等,皆是以 AI 新創團隊為主要招募來源的創業加速器。台灣人工智慧學校台灣人工智慧實驗室則分別是台灣在 AI 教育與研究領域的代表性機構。

展望未來,對 AI 新創來說,AppWorks 認為可把握三個創業機會。第一個,是自動化高人力成本的工作,例如律師、會計師、醫師等高所得的職業中,利用 AI 來協助處理重複、例行、無聊的工作;第二個,是運用 AI 來做人類本來做不到的事情,例如同時根據成千上萬個考量因素 (遠超過人腦同時處理資訊的能力),協助電商運用 AI 來做個人化推薦;第三個,則是在 AI 普及化的過程中,開發出更多不需要具備撰寫程式能力,一般人就能使用 AI 的工具。

台灣 Taiwan’s AI Ecosystem 由 AppWorks 製作,每半年更新一次,有任何指教與建議,請 email 至 [email protected]

【歡迎所有 AI / IoT、Blockchain / Crypto 的創業者,加入專為你們服務的 AppWorks Accelerator

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19H1 Update: Taiwan’s Blockchain Industry Powers through the Downturn

Jun Wakabayashi, Analyst (若林純 / 分析師)

Jun is an Analyst covering both AppWorks Accelerator and Greater Southeast Asia. Born and bred in America, Jun brings a wealth of international experience to AppWorks. He spent the last several years before joining AppWorks working for Focus Reports, where he conducted sector-based market research and interviewed high-level government leaders and industry executives across the globe. He’s now lived in 7 countries outside US and Taiwan, while traveling to upwards of 50 for leisure, collectively highlighting his unique propensity for cross-cultural immersion and international business. Jun received his Bachelors in Finance from New York University’s Stern School of Business.

In the first half of 2019, Taiwan’s blockchain industry shook off last year’s steep decline in crypto prices and proceeded to show positive developments. These past few months saw Taiwan’s financial authority, the Financial Supervisory Committee (FSC), release the first draft of security token offering (STO) regulations, while also pledging more resources to further incubate the country’s blockchain capabilities.

Although there weren’t as many new ventures created compared to 2017 and 2018, existing players in Taiwan’s blockchain industry have been resilient. Since we released our first blockchain ecosystem snapshot 6 months ago, only 8 organizations have ceased operations and were taken off the chart. 

At the same time, leaders like MaiCoin, BitoEX, and OwlTing have begun diversifying their service offerings and developing new solutions to fast-track user adoption. Meanwhile, the small handful of new additions, including KrytpoGO and Bincentive, are seemingly more attuned to industry pain points, at least compared to their peers. 

Proliferation of exchanges

Unsurprisingly, exchanges continue to serve as the most pervasive application serving the blockchain/crypto space. In addition to becoming the first operator in Taiwan to apply for the STO sandbox, MaiCoin Group, which operates MAX exchange, is trying to reshape Taiwan’s capital markets by opening up the country’s first physical storefront to process KYC in person. Through face-to-face interaction, the group hopes to build up trust and credibility in an industry that’s been ripe with scams, hacks, and privacy breaches. 

At the same time, some exchange operators are now leveraging their technical acumen to branch into infrastructure plays. Local exchange BitoEX is now building a blockchain-based system to track and store data relating to any SME’s supply chain finances. Given the immutability of distributed ledger technology, banks can comfortably use the information to facilitate commercial loans or appraise assets without the fear of compromised data. The data can also aid regulators in evaluating companies that want to eventually tokenize their assets and conduct an STO. 

These past 6 months have also seen new exchanges emerge. ACE Exchange, for example, has been attracting its initial crop of users through the allure of initial exchange offerings (IEO), an alternative financing vehicle in which the exchange itself vets, facilitates, and lists a project’s token offering.

Among the many exchanges out there, however, none captured the attention of industry stakeholders more than COBINHOOD. In an almost netflix drama-like fashion, the homegrown, zero-fee cryptocurrency exchange experienced ongoing internal power struggles and shareholder disputes that eventually led the founder Popo Chen to suspend the local entity and let go all of its staff. COBINHOOD and the affiliated protocol initiative DEXON are now on lockdown while all technical and legal controversies are resolved. 

Responding to market demands

Although the quantity of new projects may have declined compared to previous years, blockchain solutions have certainly become much more tailored to immediate market needs. 

For example, since cryptocurrency service providers such as exchanges and wallets have not been subject to strict supervision, the blockchain industry generally lacks infrastructure related to regulatory compliance. KryptoGO is a newly established regtech startup that developed a solution to help banks and regulatory agencies analyze on-chain data to help automate risk control.

Bincentive, on the other hand, fully believes in the future of cryptocurrencies and aims to help traditional investors get a piece of the action. By combining AI, social trading, and smart contracts, the startup has developed a Smart Mirror Trading Platform that essentially allows clients to not only follow, but mirror the trades of vetted crypto traders, who then earn a share of the profits. Through this platform, Bincentive hopes to bridge digital currencies with traditional financial assets, helping the former to eventually become a recognized alternative investment class in and of itself. 

Additionally, OwlTing—an early mover in Taiwan’s startup landscape—officially launched OwlTing Blockchain Services (OBS), a collective offering of blockchain solutions incorporating 6 years of experimentation spanning multiple industries including food traceability, hotel management, travel, and anti-counterfeiting. Last year, the company raised US$10M from Japanese venture capital firm SBI. 

Regulations get more defined

This past June, the FSC released a draft of what may be the “world’s first” set of STO regulations. Under the new provisions, startups can be approved for STOs as early as October this year, but are still held to a relatively short leash. Those fundraising via security tokens are capped at NT$30 million (~US$1M). Furthermore, only accredited investors are allowed to invest, with a limit of NT$300,000 (~US$10K) in any single project. Any startup looking to raise in excess of the set threshold must apply to the regulatory sandbox, just as MaiCoin has. 

As applications of cryptocurrencies have started to expand beyond just trading, Taiwanese decision makers will also look to broaden the scope of KYC/AML regulations in the second half of 2019. Moving forward, any projects working in the realm of digital payments and remittances will likely have to apply for a special license in order to operate. 

Despite all the cautionary measures, the government has taken several forthright steps to incorporate blockchain into Taiwan’s future. At the opening of the Asia Blockchain Summit in July, Minister of the National Development Council (NDC) Chen Mei-ling announced the agency’s plans to form a blockchain alliance with representatives from industry, academia, and relevant government bodies. The initiative hopes to accelerate the development of Taiwan’s blockchain industry, including everything from strengthening R&D to cultivating talent to fostering global partnerships.

The National Development Fund—Taiwan’s sovereign wealth fund—has also reportedly begun investing in blockchain ventures, XREX (an AppWorks portfolio) being the most recent case. At the same time, other public departments in Taiwan are also beginning to experiment with distributed ledger technology. For example, the Ministry of Justice Investigation Bureau hopes to leverage the immutable nature of the blockchains to optimize the administrative process of issuing national IDs. 

Forward-looking optimism

Overall, excitement is resurging within Taiwan’s blockchain industry. Crypto prices are well on their road to recovery, with Bitcoin having now almost topped US$13,000. The second annual Asia Blockchain Summit in Taipei attracted over 4,000 attendees from around the world and 100 speakers, including Binance’s CZ, TRON’s Justin Sun, and Bitmex’s Arthur Hayes. And two of the largest companies in the world—Facebook and JPMorgan Chase—launched their own blockchain projects, Libra and JPMCoin, surely a positive endorsement by anyone’s standards.

For AppWorks Accelerator, we’ve now facilitated two batches of startups exclusively focusing on blockchain / AI, collectively amounting to 65 startups, 29 of which were working on blockchain/crypto/dapp related projects. 

Entertainment, whether it’s gaming or gambling, seems to have represented the majority of projects that blockchain founders tend to work on, truly speaking to what exactly early adopters are willing to pay for at this stage of the industry—not so unlike the early days of the internet. Moreover, while Ethereum has traditionally occupied the limelight, we see more and more public chains such as EOS or TRON becoming popular, each offering their own unique value proposition—a trend we expect to continue moving forward.

Disclosure: AppWorks is a fully independent venture capital fund/startup accelerator and is not currently affiliated with any of the companies or organizations mentioned in the article, with the slight exception of BitoEX, which previously went through our equity-free accelerator, and XREX, which we’ve invested in.

The Taiwans’s Blockchain Ecosystem Map was produced by AppWorks and BlockTempo. Moving forward, we will be updating it every 6 months. For any questions or comments, please email [email protected]

【If you’re a startup currently or prospectively employing AI / IoT or Blockchain / Crypto, be sure to apply AppWorks Accelerator’s AI & Blockchain only batch.】

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Explore Taiwan’s AI Ecosystem (19H1 edition)

Natalie Lin, Analyst (林楓 / 分析師)

Natalie is an Analyst covering AppWorks Accelerator and Greater Southeast Asia. Before joining the team, she worked in the search engine marketing and email marketing teams at Zappos, America’s leading shoes and fashion online retailer, where she primarily focused on KPI management, campaign optimization, and project management. Born in Canada and raised in the Middle East, Natalie returned to Taiwan for high school before moving to the US for college and work. She received her Bachelors of Marketing at Case Western Reserve University in Cleveland, Ohio. Outside of work she likes to read, travel, and play video games.

In the past two years, Taiwan has been rapidly catching up to the global AI wave and is quickly becoming the region’s defacto AI talent hub. To inject greater momentum into Taiwan’s industries, the government rolled out the AI Taiwan Action Plan in 2018, a comprehensive industrial plan to accelerate innovation and development. The four-year action plan will be jointly implemented by the Ministries of Economic Affairs, Education, Labor, and Science and Technology with a total budget of over US$1 billion poured into the project. At the same time, the Asia Silicon Valley Development Plan was launched to incorporate AI into key development areas such as transportation, healthcare, telecommunications, logistics, and other smart city initiatives.

With healthy and natural conditions, Taiwan has gradually become an AI hub of Greater Southeast Asia (Taiwan + Southeast Asia). In the past two years, technology giants such as Google, Microsoft, and IBM have announced the establishment of their largest Asian R&D centers to be based in Taiwan. For example Google, following the acquisition of HTC’s handset division in January 2018, received a total of 2,000 engineers, designers, and professionals, followed by the launch of “Intelligent Taiwan” three months later. The first phase of this initiative was announced to recruit over 300 AI engineers and train 5,000 AI talents in Taiwan. The second and third phases are to empower more Taiwanese to participate in the digital economy by offering free training courses, while overall cultivating a future-ready workforce in the AI era. Microsoft and IBM have since announced that hundreds of AI engineers will be recruited from Taiwan as well.

Compared to other major Greater Southeast Asian countries, Taiwan has two advantages: AI talents and an industrial environment. In terms of talent, Taiwan produces more than 10,000 graduates of computer-science degrees and 25,000 electrical engineers to the workplace every year. A relatively sizeable talent pool that, if properly upskilled, can provide incredible value to the  broader AI community in GSEA. According to OECD statistics, Taiwanese students topped the global rankings in fourth place for STEM, therefore, whether it’s the quantity or quality of talents, the level of Taiwan AI engineers has a comparative advantage compared to the rest of the region. In addition, over the past 30 years, Taiwan has accumulated an unparalleled foundation in hardware manufacturing, leaving ample opportunities for companies to capitalize on the growing integration of hardware and software, especially when it comes to 5G, IoT, big data, and industry 4.0.

New Opportunities Abound as Digital Marketing and E-Commerce Mature

According to AppWorks’ newly released 2019 first half version of Taiwan AI Ecosystem Map, Taiwan’s AI ecosystem has been shaping up well with 28 startups & 12 habitat providers. AI startups have been segmented into computer vision, elements, automotive, fintech, healthcare, voice, marketing, and robotics. AI habitats have been classified into accelerators, research hubs, promoters, community builders, education, legal, and VCs.

Taiwan’s earliest investment in the AI field can be traced back to Tagtoo, which was established in 2010 and specializes in marketing tech. In addition to capturing the Taiwan market, Tagtoo has also actively expanded into a Greater Southeast Asian regionalcompany. In 2018, it won the Best Brand Award in Indonesia by CMO Asia. Tagtoo currently aggregates all their data and has a full-time AI team dedicated to train models to more effectively optimize marketing campaign decisions for their clients.

Behind the rapid rise of Tagtoo, Taiwan’s digital marketing and e-commerce development has moved into the AI era, and has spawned a number of new innovations in the field of digital marketing and advertising. For example, Appier, which provides AI-driven data analytics and marketing solutions, recently closed their Series C round, having now received more than US$82 million in total funding. Other well-known marketing-related startups in Taiwan include Rosetta.ai, which provides e-commerce personalization modules, and Akohub, which develops retargeting chatbots.

AI Technology Startups Converge with Taiwan to Create Synergy

Notably, we’ve also witnessed the increasing integration of hardware and software, specifically as it relates to marrying Taiwan’s traditional manufacturing prowess with its growing AI capabilities. Established in 2014, Umbo CV (Umbo Computer Vision) is a model of this innovation and has successfully entered the European and American markets with loyal enterprise clients in over 30 countries. Umbo CV specializes in intelligent security monitoring and develops image recognition technology with self-learning and analysis capabilities. The software platform can be used to learn and identify objects, cars, animals, and plants, as well as monitor for intruders and special events like fires. By combining AI technology with their own proprietary cameras, Umbo CV helps automate what has traditionally been a very labor-intensive industry riddled with false alarms, saving invaluable time and resources for surveillance and monitoring companies. 

Other startups that utilize the integration of software and hardware, the development of AI applications, and big data from cameras and WiFi measurement include SkyREC, which develops a big data and business analytics system for physical retailers; Cubo, the first AI smart baby camera; Lucid, which partnered with VIA Technologies to produce Edge AI 3D suite; oToBrite, which develops self-driving assistance systems; and Aeolus and NUWA Robotics, which develop AI robots.

With more and more AI innovations, Taiwan is also booming in terms of startup accelerators, education, and research. The accelerator section includes AppWorks Accelerator, which was first established in 2010 and is now limited to recruiting only AI / blockchain startups since August 2018 (AW#17); Microsoft for Startups which provides startups support for Azure; Taiwan AI x Robotics Accelerator; all of which are accelerators recruiting for AI teams. The Taiwan AI Academy and Taiwan AI Labs are Taiwan’s representative institutions in the field of AI for education and research respectively.

Looking into the future for AI innovation, we believe that there are three opportunities related to startups. The first is the automation of routine and repetitive work in labor-intensive industries such as law, accounting, and healthcare. The second is the use of AI to facilitate tasks that would otherwise be impossible or highly inefficient for humans to do such as processing large amounts of data for personalized recommendations en masse. The third is the development of enabling tools to help users capitalize on the growing ubiquity of AI without any prior technical foundation.

Apart from conducting primary research, we used information from our own respective networks, communities, and investment partners, and pored through local and international news. The map will be updated every half year to adequately capture the sheer pace at which the industry is evolving. We made our best effort to include everyone but if you feel you’ve been missed out, let us know.

Disclosure: AppWorks is a fully independent venture capital fund/startup accelerator and is only affiliated with several of the listed startups, which previously went through our equity-free accelerator, and Umbo CV, which we’ve invested in.

The Taiwans’s AI Ecosystem Map was produced by AppWorks. Moving forward, we will be updating it every 6 months. For any questions or comments, please email [email protected]

【If you’re a startup currently or prospectively employing AI / IoT or Blockchain / Crypto, be sure to apply AppWorks Accelerator’s AI & Blockchain only batch.】

Photo by shutterbean on Pixabay