As 2020 dawned, few business leaders or public sector executives in the ASEAN and ANZ regions harboured any lingering doubts about the need to accelerate their digital transformation. The covid-19 crisis, however, has driven home the urgency of building advanced digital capabilities, and the vital role of the cloud in helping to build them.

Organisations in the region have responded. Many are using their cloud-based capabilities not just to maintain operations and support home-working, but also to service customers and, in some cases, to do direct battle with the virus. The ability to scale bandwidth and computing power as needed has been vital, as has cloud support for AI (artificial intelligence)-based research and innovation.

There remain challenges to cloud migration, however. The complexity involved in managing multiple clouds is one, and IT leaders in the region look forward to developing or obtaining solutions that will help simplify it. Security concerns are another challenge, particularly as teams seek to slash the time needed to roll out new cloud-based applications and services.

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Like electricity, AI will bring inert objects to life and become a cheap and reliable utility that will sit in the background and run just about everything. But despite the similarities, AI cannot be treated as just another great industrial transformation. AI promises to be so transformative that it presents societal questions that will need to be resolved. 

Read this EIU article, sponsored by IBM, to learn more >>

 

Artificial intelligence in the real world is a report from The Economist Intelligence Unit (EIU) sponsored by Wipro Limited. The report aims to gauge corporate attitudes toward AI in different regions and different industries.

Key findings of the report include:

The pace of adoption is quickening. North America and the health sector leadthe way. Competition—or the anticipation of it—is spurring companies on. Better user experience is the key prize for many. Better decisions should also result. Efficiency and flexibility gains beckon for retailers and manufacturers. Cost, data quality and cultural resistance hold companies back. Building the AI business case is anything but straightforward.