Tag: Interconnection

In part one of this two-part series I shared some key takeaways from the recent forum, “Digital Asia: Asia’s Digitally Transforming Economies”, hosted by The Economist Corporate Network in Hong Kong. As discussed in my last post, digital transformation is growing fast around Asia-Pacific, thanks to the explosive growth of the internet, mobile penetration, FinTech and big data. In this blog post I want to highlight some of the things companies need to think about when it comes to responding to the huge opportunity presented by digital transformation in Asia-Pacific. Here a few things to consider:

And as business and technology leaders move closer to another year of high stakes digital transformations and the big IT decisions that power them, we’re taking a closer look at the technologies that will make the biggest digital business impact in 2019.

Digital technologies increase business efficiency in infinite ways in all industries, all around the world. For example, just think of the time-consuming and costly processes that have been eliminated by businesses deploying cloud, collaboration, robotics and data analytics platforms. CAPEX is reduced, while scale is increased. Supply chains bring solutions to market more effectively and faster. Repetitive tasks are expedited, making room for new value creation. And greater insights can be revealed in real-time, making a real difference in customer satisfaction.

The insatiable demand for video content on demand continues to be astounding – and, for many traditional content and digital media (CDM) companies, potentially nerve-wracking, as well.

Requirements for real time, secure communications and data exchange with patients, partners, health ecosystems and network/cloud providers are forcing healthcare companies to invest in new interconnected digital value chains, R&D, diagnostics and care delivery models.

Healthcare has been around in some form or other for millennia, while artificial Intelligence (AI) has only a few decades of history behind it. Still, that’s long enough for Al to begin transforming this ancient industry, and its influence is only accelerating in the digital age.

Virtualization has made it possible to separate the software functionality of all those boxes from the specific appliance-type hardware in which it resides. Network functions virtualization (NFV) software can replicate an appliance’s function in a more cost-effective commodity server, which is easy to obtain and deploy and can hold the software for numerous functions at once. People like the improved simplicity, cost, agility and speed that comes with this change.

The prospect of a global cashless economy is not too distant a reality. Global digital payments are predicted to increase on average by 10.9% reaching close to 726 billion transactions by 2020, according to the World Payments Report 2017. The world’s top cashless economy is currently Canada, with Sweden coming in at second and the UK at third (Forex Bonuses). Chinese cities are already emerging as early examples of cashless economies, with digital payments on mobile apps such as WeChat and Alipay taking precedent for mobile payment transactions. And Sub-Saharan Africa is a huge market for mobile payments — the GSMA reports that more than 40% of the adult population is using mobile money on an active basis in seven Sub-Saharan African countries.

AI, VR/AR and IoT all have something else in common besides their recently accelerated development– they all have the same set of dependencies: Each requires relatively sophisticated devices, excellent network connectivity and robust cloud infrastructures. And none of it works as well as it should without interconnection.

Yesterday’s Oracle CloudWorld in New York City covered everything from managing data with the world’s 1st autonomous database and humanizing customer experiences, to connecting and extending on-premises and cloud applications. In his keynote speech at the event, Oracle CEO Mark Hurd, told the audience that by 2020, more than half of all enterprise data will be managed autonomously, and will also be more secure. Hurd also said that 90% of all enterprise applications will feature integrated artificial intelligence capabilities.