歐盟資料新例 5事項要注意

(文章於2018年5月24日在香港經濟日報刊登)

GDPR Screencap

本周五(5月25日)是歐盟《通用資料保護條例》(GDPR)生效限期。本港機構若有為歐盟提供商品服務、向歐盟人士收集數據,都受新例約束,違例可遭高昂罰款。

GDPR 規定個人資料無論儲存、處理、分發於世界何處,必須受到保護,機構要提供保護數據的證據。若干類別數據若外洩,新例規定機構須72小時內報告;歐盟28國的數據擁有人有權取得、更正或刪除個人資料,機構須迅速回應。

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Cracking the Internal Health Code with Deep Learning

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The endoscope and colonoscope were first developed in 1880s to look inside the body. Specialists use their expertise and experience to examine the medical images. But sometimes, human error and backend issues can result in misdiagnosis.

Population increase and more cases of internal diseases are overloading the medical industry in many major cities in the world. In turn, the demand of medical specialists continues to soar.

However, training more medical specialists is not enough. Pathologists require long-term training and painstaking work before visually detecting abnormalities in tumor tissues by looking through the microscope and conducting invasive tests. Deep learning offers a better way to develop a diagnosis scope for medical inspection.

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數據科學家 不應在「發現」中糾纏

(文章於2018年5月3日在香港經濟日報刊登)

Data Scientist

「數據科學家」已由十年前的冷門職業,變成炙手可熱的「筍工」,連續兩年登上美國 Glassdoor 理想職業排行榜首位。

以往靠直覺和經驗做決定的金融、物流、銷售企業,逐漸倚仗數據科學家,將數據轉化為洞見。IDC「全球大數據及分析開支指南」指,全球大數據與企業分析營業額,將由 2016 年 1,300 億美元增至 2020 年 2,030 億美元,亞太是主要區域之一。

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Building the Artificial Intelligence (AI) Adoption Index of Hong Kong

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Welcome to the first blog post, as part of our 4-part series regarding Artificial Intelligence (AI) Adoption Index in Hong Kong.

We are full-time MBA Students from The Chinese University of Hong Kong and are developing a survey regarding the adoption of Artificial Intelligence (AI) by Hong Kong Small and Medium Enterprises. This project is supported by IBM Hong Kong.

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認知運算應用 改變時裝工業

(文章於2018年4月5日在香港經濟日報刊登)

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下季時尚界將流行華麗、復古,還是田園小清新?時尚設計師每季都在比拚觸覺、眼光和膽識,希望比同業領先潮流。亮麗的舞台背後,認知運算的應用,正在悄悄改變時裝工業的節拍。

時尚品牌 Tommy Hilfiger 最近夥拍 IBM,進行一項「重新想像」(Reimagine) 的零售計劃,運用人工智能,希望比同業更快找出未來流行的風向。計劃結合 IBM 的認知運算技術、Tommy Hilfiger 可觀的產品資料庫,和大量時展覽天橋上影像,輔助經驗尚淺的設計學生,設計出既具前瞻視野、又貫徹品牌風格的圖案、輪廓與形態,媲美大師風格。

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深度學習:拆解健康密碼

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早在 1880 年代,醫學界已使用內窺鏡和大腸鏡檢查人體內部情況,由專家分析醫療影像,但診斷有時會因人為錯誤和後台因素出錯。

隨全球城市人口增長,內科疾病個案數字急速上升,公眾對診斷專家的需求殷切,單在數量上培訓專家並不足夠。病理學家須長時間接受訓練、努力不懈,透過觀察顯微鏡和侵入性測試,方能辦別腫瘤組織。深度學習 (Deep Learning) 有助醫療觀測診斷的方法更上一層樓。

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Secure Your AWS Workloads with IBM Managed Services

IBM Cyber Security X-Force Command Center

IBM supports Amazon GuardDuty with both managed security services and SIEM enablement for AWS environments. IBM delivers an integrated system of analytics, real-time defenses and proven experts to help you operate securely in the Cloud.

For customers who have enabled Amazon GuardDuty, IBM can help you integrate security findings and events from AWS into your existing QRadar SIEM and security operations. IBM threat insight combines Global Threat Insight and Augmented Intelligence (AI) via second stage analytics for advanced event classification. AWS customers can also engage X-Force Incident Response services for response planning, preparation, and remediation.

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