The global pandemic has shown that data plays an important role in supporting businesses in times of uncertainty. This was actively used by organizations in Southeast Asia (SEA). They are already emerging from the crisis and starting to create information processing strategies. Let’s take a look at three technology trends that will shape new approaches.
Three technology trends that will reshape data processing strategies in Southeast Asia
Daria Sidorova
Faster data transfer with 5G networks
According to Kearney, 5G technology will provide ample opportunities for the countries of Southeast Asia. It is expected to generate up to 22% of revenues for businesses by 2025, with the largest share in Indonesia, followed by Malaysia, Singapore and Thailand.
5G technology promises high transmission speeds, low latency and more reliable connections. Updating existing networks will affect the data processing strategy of organizations, as it must take into account the huge number of Internet of Things (IoT) devices that 5G can provide on internal networks.
This transition requires careful planning, without which it will be difficult to manage the vast data volumes of IoT devices and other business segments, including external storage sites.
The era of the hybrid cloud
To meet emerging infrastructure needs, International Data Corporation predicts that by 2021 more than 90% of Asia-Pacific businesses, excluding Japan, will use on-premises private cloud and public cloud providers in conjunction with legacy platforms. This will usher in the era of the hybrid cloud.
Organizations will need to ensure that data is effectively protected and managed no matter where it is stored and used. Without this, businesses will not only be vulnerable to cyber attacks and internal threats, but also face challenges in complying with regulations such as data protection laws and Know Your Customer (KYC) obligations.
To solve these problems, some companies have already connected their corporate data cloud. It provides a consistent set of security and governance policies across all hybrid cloud environments, including the most advanced access management and control systems, data tracking and audit logs.
A data processing strategy with AI ethics in mind
Today, the main issues on AI ethics are related to the anonymization of data, with which the regions of Southeast Asia, with the exception of Singapore, traditionally fought. AI structures have already been created in Australia, Singapore and South Korea. Meanwhile, other Asian markets, including India and Indonesia, which are the largest of them, are still developing rules for this area. They will become national standards for innovation in 2021.
Southeast Asian organizations can use the corporate cloud to simplify data management when developing technologies that use AI and ML. This will help solve the problem of lack of transparency in the data models and information structures used to operate AI systems.
In the coming year, the ethics of AI and data management will be discussed across multiple fields and disciplines, including smart devices and self-driving cars. Therefore, for many companies, the first priority will be to eliminate problems in this direction.
*The article has been translated based on the content of Rusbase by rb.ru. If there is any problem regarding the content, copyright, please leave a report below the article. We will try to process as quickly as possible to protect the rights of the author. Thank you very much!
*We just want readers to access information more quickly and easily with other multilingual content, instead of information only available in a certain language.
*We always respect the copyright of the content of the author and always include the original link of the source article.If the author disagrees, just leave the report below the article, the article will be edited or deleted at the request of the author. Thanks very much! Best regards!
