By: Andrew Seow, Regional Director for Southeast Asia and Greater China
CIOs and other information technology leaders are feeling the pressure from vendors, as well as from the C-suite and the board, to move systems to the cloud. The cloud is capturing the imagination, and increasingly the budget, of all organizations that believe in the potential of cost effective and agile IT.
As cloud provides benefits such as flexibility, agility, reach and scalability, cloud-centric operating models continue to become an integral component to modernizing the IT environment. IDC’s Worldwide Cloud 2020 Predictionspredicted that by the end of 2021, over 90 percent of enterprises in APEJ (Asia Pacific excluding Japan) will rely on a mix of on-premises/dedicated private cloud, several public cloud, and legacy platforms to meet their infrastructure needs. As enterprises increase investments in mobility, collaboration and other remote working infrastructure, the proportion allocated towards IT spending that is shifting to cloud will continue to accelerate with at least 91 percent of enterprises’ budget.
As a global leader in cloud adoption, Singapore is moving quickly to drive the development and adoption of cloud solutions. The city-state is also taking a leadership role in encouraging cloud businesses to accelerate digitization of their operations with initiatives such as the Services and Digital Economy Technology Roadmap that launched in late 2018.
These are proof points supporting how the world of enterprise IT is dramatically changing as the need to rapidly accelerate the digital transformation journey continues.Organizations are forced to re-evaluate their business priorities and reinforce cloud adoption for cost efficiency and business continuity. However, the cloud is not the only big disruptor. CIOs are also paying attention to these other cloud-dependent disrupters.
- Machine learning, an offshoot of artificial intelligence research, continues to find practical applications with algorithms that find patterns in data and learn from experience. Uber and Lyft use machine learning to price rides and optimize routes.
- The Internet of Things (IoT) is the trend toward packing sensors, processors, and network connections into all sorts of objects from personal electronics, to doorbells, to crates of produce, making homes, workspaces, and the whole world part of an intelligent network.
- Blockchain distributed ledger technology first gained attention by enabling the creation of cryptocurrencies but also is being tested for applications such as sharing of electronic medical records between hospitals and healthcare facilities. Perhaps overhyped today, blockchain has the potential to rewrite the rules of business computing tomorrow.
The machine learning insights that the ride-sharing companies get so much mileage out of are realized partly because they pool data across all their operations, with smartphone apps and dispatch servers in the same cloud. IoT and blockchain are likewise part of the cloud era, and we can expect to see many machine learning applications that are tied to IoT and blockchain networks.
Adopting these new technologies depends on increasingly pervasive and reliable cloud technologies. As organizations learn to trust more data and applications to the cloud, the benefits of more interconnected systems and aggregated data will become apparent. The challenge for IT leaders is to understand the broad trends without being pressured into enterprise application decisions that go against the best interests of their organizations.