Today was the graduation ceremony of the 3rd cohort of our #MiniMBA programme co-orgainized by #CUHK #BusinessSchool #APIB & #Convoy since April 2019. We’re so grateful to have trained over hundreds of high-calibre Convoy executives. https://lnkd.in/gmXVW_3
Every cohort had 9 modules taught by our faculties with deep real-world industry experience. #ActionLearning projects done by our students were full of #entrepreneurship passion. The best projects are further cultivated & funded to progress further. Industry seminars on #FinTech topics were held https://lnkd.in/gzQy_-8. The inspired Convoy team then initiated its own #Hackathon #Finspire with great success https://lnkd.in/gJQupVP. Convoy also supported #Cyberport #CUPP & joined #MIT #InnovationNode workshop.
The last 15 months was a fruitful training journey for all students from Convoy & CUHK faculties. That is an excellent example of how corporates & universities worked together to cultivate the next generation of leaders to seize unprecedented opportunities in digital economy & manage chaotic world.
Thanks to Convoy Wing-Fai Ng Almond Wong Shin Kin Hang Shirley Tsui Miu Ling & CUHK Waiman Cheung Wendy Lai Rebecca Wong. Appreciate great effort from our faculties & students and congrats to all accomplishments.
Digital Leadership Training Series:
The Power Duo of AI & Big Data
Artificial Intelligence (AI) is only possible with big data, because we need a tremendous amount of data to “teach” or “train” AI systems. As its name suggests, AI has a form of intelligence of its own. It figures out which rules to follow based on the data that we feed them.
WHAT IS THE POWER DUO OF AI & BIG DATA?
An AI application doesn’t just do what it’s been programmed to do. AI can go further than that. It responds to changing information and makes adjustment based on what it learns as it goes along. AI differs from supercomputers and other systems with powerful computing capabilities in one important way. AI systems are capable of not just computing, but actual learning — machine learning. The more data you give these machine learning networks and the more computational capability you give them, the better the result becomes because the results of previous machine-learning exercises can be fed back into the algorithms.
“Banking is necessary but banks are not” ( quote from Bill Gates ) is not just applied for the incumbents in banking industry but all leaders in traditional industries. Traditional companies are facing unprecedented challenges from 4 major forces in the Digital Economy. Many of them will not survive if they don’t act now & don’t do it right. Last week in Shanghai, I have shared my experience gained from consulting large incumbents & cultivating innovative startups. We talked about these 4 key types of competitors for traditional companies: 1. Tech Giants Amazon Alibaba 2. Unicorns Gogovan Klook 3. Traditional companies from other industries with great digital capabilities to cross over to your industry Volkswagon getting into insurance 4. Companies in your same industry but with better digital capabilities than you Strategy that we learned from Business School, MBA and EMBA still matters but may not be good enough to empower leaders to win & even survive in the Digital Age. We talked about how to formulate Digital Strategy, cultivate a Digital Workforce & work with Digital Colleague around us. More importantly, how to innovate & collaborate with startups. Will deliver this talk in Tsingtao, Taiwan, Malaysia & more Asia’s cities in the next few months. CU.