It goes without saying how important innovation and technology is. Just look at how Chief Executive Carrie Lam Cheng Yuet-ngor highlighted this sector in her maiden policy address.
I must emphasize, innovation and technology takes long and hard work. In particular, persistent efforts have to be made in developing data resources, which lie at the root of innovation.
When discussing with the business sector, I often hear that cross-department coordination is the biggest problem in data integration.
My suggestion is, there must be a mutual beneficial system to incentivize staff. I also like to remind others that it will only get harder if companies don’t build up their data ability now, and it will also get much costlier.
Gartner has released the top 10 strategic technology trends for 2018, among which it pointed out that artificial intelligence (AI) and machine learning would expand into almost every aspect, underpinning the digital platform and set the stage for business innovation over the next five years.
In fact, AI has already become part of the infrastructure of numerous companies. New technology is emerging fast. Other than data preparation, integration, algorithm, training methodology selection and model creation, technologies about constant risk evaluation is particularly important.
AI is also driving advances for new intelligent things, data assimilation, edging computing, self learning, etc.