GS1 Hong Kong organized a competition as “Best Smart Hong Kong Award” and invited Dr. Toa Charm to be an assessor of the Big Data Applications Category. The Assessment Panel consists of professionals of the ICT industry, with members coming from relevant industry and professional associations, companies, educational institutes, and government bodies.

The Hong Kong ICT Awards aims at recognising and promoting outstanding information and communications technology (ICT) inventions and applications, thereby encouraging innovation and excellence among Hong Kong’s ICT talents and enterprises in their constant pursuit of creative and better solutions to meet business and social needs.

The Hong Kong ICT Awards was established in 2006 with the collaborative efforts of the industry, academia and the Government. Steered by the Office of the Government Chief Information Officer, and organised by Hong Kong ICT industry associations and professional bodies, the Awards aims at building a locally espoused and internationally acclaimed brand of ICT awards.

There are eight categories under the Hong Kong ICT Awards 2016. There will be one Grand Award in each category, and an “Award of the Year” will be selected from the eight Grand Awards by the Grand Judging Panel.

Dr. Toa Charm was invited to be a member of judging panel. For more details, please refer to the website as following:  https://www.gs1hk.org/industry-recognition/best-smart-hong-kong-award/winners

Hong Kong ICT Awards 2016 (Best FinTech Award) is being held during October 2015 to April 2016 by the Hong Kong Institute of Bankers (HKIB).   Dr. Toa Charm is invited by HKIB to be an assessor of the Best FinTech Award.  

The Hong Kong ICT Awards aims at recognising and promoting outstanding information and communications technology (ICT) inventions and applications, thereby encouraging innovation and excellence among Hong Kong’s ICT talents and enterprises in their constant pursuit of creative and better solutions to meet business and social needs.

The Hong Kong ICT Awards was established in 2006 with the collaborative efforts of the industry, academia and the Government. Steered by the Office of the Government Chief Information Officer, and organised by Hong Kong ICT industry associations and professional bodies, the Awards aims at building a locally espoused and internationally acclaimed brand of ICT awards.

There are eight categories under the Hong Kong ICT Awards 2016, including the new Best FinTech Award. There will be one Grand Award in each category, and an “Award of the Year” will be selected from the eight Grand Awards by the Grand Judging Panel.

There are three streams as:

1) Best FinTech (Banking and Insurance) Award

2) Best FinTech (Capital Market) Award

3) Best FinTech (Emerging Solution) Award

Asia Insurance Review invites Dr. Toa Charm to share his experience in the Asia Conference on Big Data and Analytics for Insurance  in Singapore on 28 Jan, 2016.

The mantra of big data cannot be overemphasized. Big (and even small) data has seen its role significantly elevated in recent times across different industries. As organisations pursue various strategies to drive profitability, many have turned to their data for the answer. Traditionally, the insurance industry has been sitting on its historically rich vein of data and it is now time for the insurers to embark on the analytics journey where they leverage on their data to stay competitive. Increasingly, there is a shift towards a data-based driven business model in the wider economy.

Is your organisation ready for the data journey? How can your organisation leverage on data as a strategic tool? How will your organisation adopt and embrace data analytics? Do you have the right talent to deploy data analytics?

Data Analytics will play a key role in reshaping the way the organisation functions, through the use of data to drive key business decisions, to underwrite new policies, to create new business opportunities, and boundless ways to innovate and connect with the market. Don’t fear big data. Use it as your friend to be a winner in the data age.