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Advanced Deployment of Digital Transformation 2.0 in Post-Pandemic Era

Over the past few years, the rise of AI, big data, financial technology, IoT and other technologies have driven the digital transformation of global enterprises. In the post-pandemic era, with the development of emerging technologies such as 5G, digital transformation is also moving towards a second phase—that is, shifting from technological transformation to emphasizing using data to drive innovation in business models.

Wistron ITS has been assisting our customers in digital transformation for a long time. Ginnie Hsu, general manager of Wistron ITS Taiwan Hong Kong Business Group, has observed the following trends in AI-combined, data-driven digital transformation:

  • Financial Sector – Open data-driven Open API and blockchain are providing a more personalized, convenient and secure user experience for consumers. With the development of online-only banks and open banking, in the future focus will be on Open API specification, blockchain alliance, big data analysis and AI applications, while robo-advisors, virtual currency applications, and big data financial platforms are also possible application fields.
  • Manufacturing Industry – Connecting operational technology (OT) and information technology (IT) will become the key to implementing AI in manufacturing. While traditional production line operations are pursuing digital transformation, new and emerging smart manufacturing also combine AI, IoT, big data and other technologies to make production data more meaningful, and to build smart factories effectively.
  • Digital transformation in the office – from Robotic Process Automation (RPA) to Intelligent Robotic Process Automation (IRPA), enterprises are using process automations to handle more repetitive and logical operations, such as order entry, simple account classification, etc. In the future, RPA will be combined with AI to become IRPA, to achieve smarter automated processes. This may include transforming unstructured data with graphical recognition, or improving the accuracy of data processing with machine learning, etc.

There are three key factors for an enterprise to achieve successful digital transformation. First of all, enterprises must have a specific objective for digital transformation. Secondly, their team must be equipped with a high-level vision for digital transformation. Thirdly, enterprises usually bring in talents from different fields during the digital transformation process. As Ginnie Hsu points out, the stimulation of innovative and diverse talents, further integrated with enterprises, can help create transformational synergies.

For enterprises to realize their digital transformation blueprint, IT talents are indispensable. Wistron ITS’ technical team will continue to assist and work with clients, to achieve advanced deployment for digital transformation in this post-pandemic era.