Download the full report: Artificial Intelligence – Asian Periscope
In the years to come, Artificial Intelligence (AI) will change the way we work, travel, heal or shop. Machine learning algorithms driven by the ever-increasing amount of digital data generated not only by computers but also by home appliances, cars or Internet of Things devices are able to assist us in a plethora of everyday activities.
Advances made in machine learning, neural networks or computer vision have led to a situation where technology stops being a roadblock on the way to implementing AI solutions. In an growing number of cases it is the degree of readiness that a market, a legal system or society itself displays which can be an obstacle to deploying state-of-the-art technologies and related changes in how specific sectors function.
In many industries, Asia is nowadays experiencing a globally unique AI implementation in citizens’ daily lives. Research indicates that in the coming years this will also be the case for other regions, including Europe and Poland. Countries of Asia may be thought of as testing grounds for implementing various AI solutions and business models they entail, and a laboratory for the impacts this has for the economy, the labour market or even culture.
When looking at the Far East states, we can ask a straightforward question: what to do to speed up widespread AI deployment in our economy and to enhance its competitiveness this way? But also: how to prepare, learning from others’ mistakes, our society for large-scale AI implementation?
This report aims to explore the most important issues related not so much to how AI develops as to how it is implemented in the real economy. We decided to focus on three sectors – health, agriculture, transport – and the dynamics of their advances in Asian countries. At the same time, the reader of the publication is not going to find many examples coming from the country that is a regional or even global leader in AI development – China. It is a feature, not a bug.
Our objective is to show that not only world leaders such as the People’s Republic of China or the United States are capable of successfully implementing AI on a mass scale. The examples presented, from South Korea, Japan, Singapore or Malaysia, confirm that countries with market sizes, populations and GDP similar to those of Poland, Germany or Spain are able to take advantage of an early adopter position in AI, too.