Aug 052017
 

Knowledge Management has mainly been about people – facilitating people’s ability to improve their organisations effectiveness and ability to innovate by creating and sharing knowledge. Technology has supported KM in being able to capture and store large amounts of information, good for know-what but less so for know-how, where tacit knowledge is important and context is often lost.

AI could change the game.

This conference will look how the emerging confluence of AI, big data, machine learning and cloud computing is starting to support and enrich our own cognitive abilities. But we’ll also be reminded how people still possess knowledge that enables cognitive models of the world and how it works,  and that knowledge is often transmitted by storytelling – which is one of mankind’s oldest art forms and cultural assets.


 


 

 

When:  31st August 2017. Registration: 08.45 am, Conference ends 1:00 pm

Where : Theatre A, 22nd Floor United Centre , Admiralty Hong Kong

Fee:  Conference Pricing : Members of HKKMS/KMIRC HK$ 800 Non-Members HK$1,200

Please register via the form at the bottom of this page.

Conference Leaflet

(please click on the image to download the full conference leaflet)

 

 

 

 

 


 

Speaker line-up

Keynote I:

AI: a critical assessment of its
resurgence in the 21st century

After more than thirty years in the wilderness, Artificial Intelligence is making a comeback and this time it looks as if robotic and process automations are sweeping the business and the manufacturing world by storm, replacing humans in many of the job tasks by constantly re-dividing the human-machine/ job boundary. What are the driving forces behind this come back and will it show any sign of abating in the near future? What are the opportunities brought by this new wave of AI? Just how smart will machines become and will our jobs be eliminated. How can we shield ourselves from job displacement by AI and robots. These issues and more will be discussed in the talk.

Prof. Eric TsuiProf Eric Tsui,
Hong Kong Polytechnic University 

Keynote II:

Applying AI to Language –
5 Very different AI case studies

Most applications of AI are focused around numeric challenges. However, recent applications of AI in the processing of text across languages is quickly changing the perspective of where machine learning and AI techniques can be applied to solve complex problems. Research and commercial development has now begun to focus on comprehensive workflows the leverage ensemble data from many sources into a more accurate and reliable outcomes that often far exceed human capabilities.

 

Dion Wiggins
Omniscien Technologies

Keynote III

Getting the BE/ST from AI:why Information and Knowledge
need Behavioural Economics and Storytelling

Tas will scrutinise the current orthodoxy regarding Big Data, AI and algorithms and heretically suggest that to fully transform our businesses, add value and generate transformative insights from our knowledge, we need to avoid becoming “slaves to the algorithm”.

Instead, the real fusion we need to create and design into our companies and cultures is that between AI (and Big Data) and two carbon-based disciplines – Behavioural Economics and Storytelling.

So BE and Storytelling when fused with AI should help ensure that as The Singularity approaches humans will still have a role as generators of creativity, innovation and insightment.

Anthony ‘Tas’ Tasgal

Keynote IV:

Managing customer experience
in an AI-filled future

As the rush towards the use of artificial intelligence increases, companies across the financial services sector are exploring how to complement their customer support functions with AI. But how are customers reacting to the new experience? Is this an area of concern to them, or are they likely to welcome the evolution? KPMG China’s Larry Campbell explores the psychology of the customer amidst these changes and what it might mean to companies

 

 

Larry Campbell
KPMG

Registration

Registration for the coming HKKMS/KMIRC event.

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Jul 092017
 

The HKKMS is delighted to welcome our next International speaker, Professor Ikhlaq Sidhu , Faculty Director and Founder, Sutardja Center for Entrepreneurship & Technology at the University of California at Berkeley.

Professor Sidhu will address the topic ‘Extracting Knowledge from Data’.  Expect an engaging and thought provoking evening.

Prof. Ikhlaq Sidhu

 

Speaker:  Professor Ikhlaq Sidhu
Date : Tuesday, 18th July 2017
Time : 6:30pm to 8:00pm
Location : 22nd Floor, United Centre, Admiralty

 

 

 

The meeting is $200 for non-members and free for HKKMS members. Please reserve your place by registering below.  Further details of the speaker can be found below.

Registration for this event has completed.

 

About Professor Sidhu

Ikhlaq Sidhu is the faculty director and founder of UC Berkeley’s Sutardja Center for Entrepreneurship & Technology. He received the IEOR Emerging Area Professor Award from his department at Berkeley. Ikhlaq Sidhu is an innovator with an industry background and the perspective of an academic. He teaches, advises, and manages people to enable impactful and relevant innovation, which today demands a different kind of leadership. From him, people learn how to create new things that are technically complex that will also actually have impact in the real world.

He is an innovator in the narrow sense (e.g. created 60+ patents, technology, and products) and he is an innovator in the broad sense (e.g. launched ventures, raised funds, founded organizations, led businesses, and navigated complex political challenges) within areas of data networking, telecommunications, and academics.

By now, Sidhu is probably most known for bringing an industry perspective to academia. He founded the Sutardja Center for Entrepreneurship & Technology in 2005 and launched its many spin-offs programs. With Ken Singer, he co-created the Berkeley Method of Entrepreneurship (for students) and the Berkeley Method of Innovation Leadership (for existing companies). Both of these frameworks add concepts of social-psychology, mindset, and journey to the traditional steps of innovation.

The spin-offs from his work at Berkeley include the GVL in 2008, the Fung Institute in 2009, the Engineering Leadership Professional Program in 2011, SkyDeck in 2012, the Innovation Collider in 2015, and Data-X in 2016.

Sidhu serves on several boards and advisory roles including Venture Advisor at Onset Ventures (a leading Silicon Valley investment firm), the Faculty Committee for Lawrence Hall of Science at UC Berkeley, the Board of Trustees of the Hamad Bin Khalifa University, Qatar, Fellow, Applied Innovation Institute, and the Faculty Director’s Council, Jacob’s Institute of Design at UC Berkeley.

May 032017
 

The HKKMS is delighted to welcome back to HK Dr. Harpal (Pal) Bhusate. Pal last spoke to the Society in April 2013. Below she is pictured with the then KM executives from the MTR.

The meeting will be held between 6.00pm and 7.30pm at our usual venue on the 22nd Floor, United Centre, Admiralty .

Registration for this event has completed.

Pal’s bio

Pal was director of Collaboration for Vodafone and she will update us with recent case studies in promoting collaboration in the public sector in the UK.

We aim to make this event more intimate and a more collaborative learning experience for everyone attending, therefore following Dr Bhusate’s introduction, we will facilitate a Knowledge Café with participants around the following key barriers to Collaboration and Knowledge sharing.

  1. Not communicating the real, measurable benefits of Collaboration to the business
  2. Information “silos” blocking collaboration between teams and locations
  3. Enablement of employees and appropriate incentives to collaborate and share knowledge
  4. A focus on short-term results, and no appropriate technology platform or strategy

All the participants are kindly invited to share their experiences in these and other areas of creating a Knowledge sharing organization.

Mar 052017
 

The HKKMS is delighted to welcome Dr.-Ing. Peter Heisig to present to members on future challenges and practical approaches in KM, this meeting will be held on the 21st March 2017 at the Hong Kong Polytechnic University and will draw upon the results from a recent global KM expert study involving over 220 experts around the world as well as observations and experiences from several KM projects from small businesses to large corporations and public administration.

The contribution addresses the current challenges researchers and practitioners are facing in the KM discipline and KM practice ranging from theoretical aspects to practical issues.

Given the presenter’s involvement in KM research and KM projects since 1989, he aims to combine theoretical KM approaches with lessons learned in KM projects in different sectors and functional areas. The delegates will be introduced to practical methods and tools tested in different settings in different industries in Germany to help to improve the strategic management of knowledge and the operational handling of knowledge.

 

Speaker : Professor Dr.-Ing. Peter Heisig
Date : Tuesday, 21st March, 2017
Time: From 6:30pm – 8:00pm
Location: Room N103, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

 

Prof Dr. -IngHeisig’s presentation file from the meeting can be download from the followng link (size about 10.6MB)
http://www.hkkms.hk/wp-content/uploads/2017/03/Heisig_Hongkong_2017-03-21.pdf

Professor Dr.-Ing. Peter Heisig’s Bio

Dr.-Ing. Peter Heisig is Professor for Information and Knowledge Management and Deputy Dean of the Department of Information Sciences at the University of Applied Sciences Potsdam (Germany) and a Senior Research Fellow at the Leeds University Business School (UK).

His interest in how organisations create and exploit knowledge and experiences was triggered in 1989. Peter undertook research on tacit knowledge sharing on the shop floor level (Fraunhofer IPK, BMW AG, Siemens AG, Traub AG) towards knowledge and information needs through long product life cycles (University of Cambridge, Rolls-Royce plc, Airbus plc). He lead projects for large companies to design and implement of KM solutions for product and strategy development, as well as the development of a toolbox to assess the intellectual capital of organisations, called Wissensbilanz – Made in Germany, which was used by thousands of companies from the German Mittelstand.

Peter was appointed to contribute the CEN Working Group on Good Practices in Knowledge Management, the APO (Japan) and ipea (Brazil) as KM subject matter expert. He worked with the APQC (Houston, TX) on Best Practice Transfer and contributed to DIN standards on process-oriented KM and the VDI guideline on KM in Engineering.

Peter holds a Diplom in Social Sciences from the University Göttingen (Germany) and earned his PhD in Engineering form the Technical University Berlin (Germany) on how to integrated KM into working processes and organizational routines.

Recently, Peter conducted with partners from over 25 countries an expert study to identify the advancements and future challenges in KM based on the input from 222 KM experts from 38 countries representing 16 industry sectors and different academic disciplines.

Feb 152017
 

The HKKMS is delighted to welcome Prof. Norbert Gronau to present to the society on the Challenges, trends and best practices in Learning and knowledge management.  Registration and details can be found below.

 

 

Speaker : Prof. Norbert Gronau
Date : Tuesday, 21st February, 2017
Time: From 6:30pm – 8:00pm
Location: 22nd Floor, United Centre, Admiralty, Hong Kong 

The event is $200 for non-members and free for members of HKKMS and the KMIRC .  Please complete the registration form below to reserve your place.    Further details of the talk and about Prof. Gronau can be found below.

Prof. Norbert Gronau’s presentation can be download from the following link (file size is 2.5MB)
http://www.hkkms.hk/wp-content/uploads/2017/03/Hongkong_KM_society_2017_Gronau.pdf

Abstract

Prof. Norbert Gronau will be presenting challenges, trends, and best practices in learn and knowledge management. Thereby, he will focusing on the value of process oriented knowledge management and measures to approach this topic. Major aspects which are addressed within this are the impact of new technologies, knowledge flows and conversions as well as the identification of qualification needs and realisation approaches to qualify the employees. The presentation will end with recommendations for action.

Prof. Gronau’s Bio

Univ.-Prof. Dr.-Ing. habil. Norbert Gronau (born 1964) studied engineering and business administration at Berlin University of Technology. He received his Ph.D. in 1994 for a framework on a strategic management information system for the production management at the department of Computer Science at Berlin University of Technology. Until March 2000, he was head of the self-founded research group Industrial applications of business information systems at the Institute of Business Information Systems of the Berlin University of Technology.

There he also has finished his habilitation thesis on sustainable frameworks for architectures of industrial information systems. In summer 2000 he was Deputy Professor for Business Information Systems at the University of Oldenburg. From October 2000 until March 2004 he was full professor for Business  Information systems in Oldenburg (Lower Saxony). Currently, he holds the Chair of Business Informatics, esp. Processes and Systems at the University of Potsdam, Germany. His main research activities concentrate on the areas of Knowledge Management and Business Process Management.

Prof. Gronau is editor of the scientific journal Industrie Management – Journal for industrial business processes and co-founder of the journal PPS Management – (now Productivity Management) journal of production and logistics. He is author of more than 90 papers and author resp. editor of several books.

Additionally, he is lecturer for Knowledge Management at Stellenbosch University, South Africa.

Since 2007 Prof. Gronau is a regular member of the German Academy of Technical Sciences (acatech).