Building the Artificial Intelligence (AI) Adoption Index of Hong Kong

Exif_JPEG_PICTURE

Welcome to the first blog post, as part of our 4-part series regarding Artificial Intelligence (AI) Adoption Index in Hong Kong.

We are full-time MBA Students from The Chinese University of Hong Kong and are developing a survey regarding the adoption of Artificial Intelligence (AI) by Hong Kong Small and Medium Enterprises. This project is supported by IBM Hong Kong.

Every 2 weeks, you will be introduced to one of our project team members.

Take Survey Now

For today’s post let me introduce myself.

I am Nipun Midha. I have an Engineering degree coupled with 8 years of work experience in companies such as Ericsson and Nokia Siemens Networks. It was my desire to be a part this project since I really enjoy learning about new technologies that can impact us. I have lived and worked in several countries such as Mainland China, Singapore, Thailand, India and can also speak fluent Mandarin!

Why are we doing this survey and what are the implications of this survey?

The purpose of this survey is to create an AI Adoption Index of Hong Kong. Through this survey we wish to find out the current adoption of AI in Small and Medium Enterprises. We also want to know the current level of understanding of AI in Hong Kong companies.

We believe that the survey can have positive implications, since we hope that in the future the results of this survey can play a role in acting as an input for policy makers in Hong Kong regarding AI and hence help to promote Hong Kong’s economy and strengthen the region’s overall competitiveness in the international arena.

Take Survey Now

What is AI?

AI and cognitive computing refer to next-generation information systems that understand, reason, learn and interact by continually building knowledge and learning, understanding natural language, and reasoning and interacting more naturally with human beings than traditional programmable systems.

Specific AI technologies, such as machine learning, deep learning and natural language processing, can be combined with enriched predictive and descriptive analytics and complemented by robotics and other forms of automation.

Stay tuned as we will have other project members post their thoughts in the coming weeks ahead!

Exif_JPEG_PICTURE

Nipun Midha, MBA Student from The Chinese University of Hong Kong

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s