Webinar | Case Study: Application of IoT in commercial business.

經驗分享: 物聯網 (IoT) 應用於商業用途

物聯網的應用及發展已經有一段時間歷史, 物聯網 讓每個裝置或物體均配置通訊晶片, 透過基站或傳送站 把收到的數據傳送至資料處理中心或雲端進行實時數據分析並作出實時應對或所需的操作行動. 簡單來說, 物聯網 把東西 (device) 連串起來讓他們可以互聯互通與互相交換數據資料並作出所需的指令. 但如何設計及安裝一套適合商業用途的互聯網就不簡單? Dr. Leung將會透過webinar分享他的經驗 . 如何為他的客戶(自動販賣機-vending machines)從設計開始到成功安裝一套互聯網.

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職場知識和技能課程 英文職業書信寫作 (Ref: QMA-21-SC-3)

職場知識和技能課程 英文職業書信寫作 (Ref: QMA-21-SC-3)

 

由SSI全力支持,HKQMA主辦,爲期兩日的英文職業書信寫作課程將於八月底開課。歡迎各位會員或 身邊的年青人, 報名參加。
本課程為剛DSE畢業學生、求職人士或在辦公室工作需要用英語寫作的人士而設,以簡單及實用的英語解決一般書信溝通問題。本課程不講理論,只求實用。

上課日期: 2021年8月26日及9月2日(星期四)
上課時間:晚上7時至10時(共6小時)

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International CRE & CSQS Leadership Summit 2019 (20-21 JUN 2019)

Six Sigma Institute Registered Professionals may enjoy 30% off to this event.

For more details, please check the official website of APCSC

Enquiries: Lynn Wu (APCSC) | Tel: (852) 21741428

 

Workshop for TRIZ (25 April & 2 May 2019) (HKQMA)

Course Code: HKQMA-19APR25E

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Digital Revolution Series – Big Data Awareness (Module 2)

Digital Revolution Series – Big Data Awareness Transformation (Module 2)

Introduction

According to “Research on Big Data Adoption in HK Retail Sector” carried out by the Hong Kong Productivity Council in 2016, it is revealed that 50% of the SMEs and 26% of Large Enterprises never heard about Big Data. For those who heard about Big Data, both SMEs and Large Enterprises are mainly in learning stage, with 39% and 35% respectively. For SMEs: “Insufficient knowledge of Big Data” is the biggest concern to Big Data Adoption (166, 60%), following by “Cost concern” (152, 55%) and “Complexity in data analysis” (64, 23%). For Large Enterprise: “Cost concern” is the biggest concern to Big Data Adoption (62, 50%), following by “Insufficient knowledge of Big Data” (50, 40%) and “Privacy concern” (43, 34%). HKQMA conducts this 3-hour seminar to introduce the concept of Big Data. It is not a technical training workshop nor Essence of Chicken for Big Data applications for tomorrow. This seminar gives participants idea on what Big Data is, who in Hong Kong are now applying Big Data in their business, and the way forward if interested to implement Big Data. Focus will be made on knowledge discovery and DIKW model in Knowledge Management.

What is the target?

  • Understand concept of Big Data
  • Understand DIKW model
  • Learn how local organization use Big Data to improve business performance and develop creative products/services

Who should attend?

  • Anyone interested in knowing the basic concept of Big Data and learning how companies using Big Data to their competitive advantages

Content

1. What is Big Data, and how big is big?

2.Functions of Big Data

3.DIKW Model, from knowledge sharing to knowledge discovery

4.Learning Big Data Applications from examples in Hong Kong

5.Challenges for Big Data Implementations

Certification

Certificate of attendance will be jointly issued by HKQMA and SSI

Speaker

HKQMA Directors and Dr. Victor Leung (Seminar Leader)

(Dr. Leung has been working in railway organizations in Hong Kong over 35 years. He is the Vice-Chairman of the Hong Kong Knowledge Management Development Centre and Fellow of HKQMA. He is Adjunct Lecturer of HKU SPACE and has been teaching in the University of Hong Kong, HKU SPACE, MTR Academy and other institutions for years)

Fee

  • HK$600(10% off for early bird booking before 29 May 2018 and a further 10% to members of HKQMA/SSI and supporting organizations)

Course Code: HKQMA-18JUN14E

Date: 14 Jun 2018 (Thu)

Time: 7:00pm to 10:00pm

Language: Cantonese (supplemented with English)

Venue: Unit 1627, 16/F, Star House, No. 3 Salisbury Road, Tsim Sha Tsui, Kowloon

CPD Credit: 3 credits

Add Value:

Free ticket for Digital Transformation Forum will be offered to seminar participants.

Date: 29 June 2018 (Friday 2:30pm – 5:45pm)

Venue: Lounge Area, 20/F, Towngas, 363 Java Road, North Point (MTR station: Quarry Bay Exit C)