The process of digital transformation in Vietnam has developed into another stage. Vietnam has transferred its focus on Artificial Intelligence (AI) to Chapter 2 – where businesses digitalize workload. Tan Jee Hoon, country general director of IBM Vietnam spoked that the combination of emerging technologies such as AI, automation, Internet of Things (IoT), and blockchain gets more popular has changed standard business and tech architecture. And according to Tan, many companies are specifically requesting that they become completely digital in their operations and that these companies cope with omnipresent interconnectivity and have the capacity to reach the highest standard of consumer standards. Chapter 2 deals with businesses shifting from innovation to actual change, and increasing momentum and scope in digital transformation. IBM mapped three main critical areas on the road to Chapter 2 for companies.

Digital along with AI

Two approaches of companies to digital transformation are inside-out and outside-in. CTO of IBM Vietnam, Le Nhan Tam claimed that AI co-exists with IA (information architecture). It is understandable because digital platforms are the place for companies to connect their services and manage AI apps.


Agile cloud system for digital transformation

Hybrid agile cloud system will bring Vietnamese companies real digital transformation with open, secure, and managed features on private, public, or multi-cloud environments- all flexible and seamless for using AI with automation, analytics, and blockchain. AI scaling and hybrid cloud creation will happen in Chapter 2. From the global perspective of IBM, most businesses are 10-20% on the cloud journey. Their initial forays in Chapter 1 centered on renting on-scale computer resources to drive cost and efficiency in productivity. The next 80 percent of the cloud opportunity focuses on bringing business software to the cloud and transforming everything from supply chains to sales.

Data secured in digital transformation

Businesses must ensure that data is safe for consumers, that customers maintain control over their data, and that customers can trust AI technology and related recommendations. Investing in equipping students and work experts for a new generation of high-demand skills is crucial.