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How Intel and Microsoft are enhancing IoT solutions with AI, machine learning, and computer vision

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How APAC is riding the cloud wave

With the move to the cloud underway across most parts of the Asia-Pacific region, enterprises are no longer questioning the value of cloud computing. Instead, many are taking their cloud conversations with suppliers to the next level - how to get the most out of their cloud investments, managing data and cloud costs, and setting up multi- and hybrid cloud environments. In this e-guide, find out why artificial intelligence is set to be the cloud's killer app, how Aussie firms are managing data in the cloud, and the Singapore government's move to develop its own cloud technology stack.

These are also closely related to: "How Intel and Microsoft are enhancing IoT solutions with AI, machine learning, and computer vision"

  • CW ASEAN – December 2018: How to make the right cloud infrastructure choices

    Across the ASEAN region, more companies, including bigwigs such as Southeast Asia’s largest bank DBS, are turning to cloud infrastructure services to augment or even replace their entire IT infrastructure in some cases. In this month’s edition of CW ASEAN, we take a look at the considerations when choosing infrastructure as a service, and what needs to be in place for enterprises to get the most out of the cloud computing technology.

    Also in this issue:

    Facebook builds its first datacenter in ASEAN region in city state Singapore

    The high-rise facility will be the first of its kind to incorporate Facebook’s StatePoint Liquid Cooling datacenter cooling system, cementing Singapore’s position as a datacenter hub.

    Taking stock of Dell EMC’s growth in Asia Tech supplier

    Dell EMC is riding on a growing demand for servers and hyper-converged infrastructure, and investing in more technical resources to support enterprises in digital transformation efforts.

    Alibaba Cloud and Intel team up on IoT

    Joint Edge Computing Platform enables enterprises to train artificial intelligence models at the edge of a network to support real-time decision-making

  • Examining the Healthcare Industry's Potential for Confidential Computing

    Healthcare data analytics requires some of the highest data privacy and protection measures across the industry, making implementing privacy-preserving technologies a top priority.

    Doing so requires health systems to investigate, assess, and potentially deploy a variety of solutions.

    Cloud adoption has become increasingly popular for securing healthcare data, but there are key technologies used within the context of cloud computing that can enhance data protection.

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