For many companies, the journey to the cloud is driven by heightened demand from compute-intensive workloads, such as the internet of things (IoT), analytics and artificial intelligence (AI). This onslaught of new technology – and the resulting deluge of data – is increasing by the minute.
“Any large-scale software project in the future is going to have some type of artificial intelligence capability or component,” confirms Dean Samuels, head of solutions architecture for Amazon Web Services in Hong Kong and Taiwan.
Indeed, connecting more physical devices and sensors and using AI, data analytics and cloud allows companies to collect more data and more quickly turn that data into information – which, in turn, helps them make better business decisions.
“One of the biggest challenges that we’re beginning to see in spaces like IoT, where we’re collecting vast amounts of data, is that the capability for us to actually push that into a cloud and analyze that is becoming more and more complicated,” says Dan Angelucci, DXC Technology’s regional CTO for Asia.
The explosion of data at the edge has profound implications for cloud models, data management and digital technologies such as AI. For many companies, the only way to capture the full value of the data is to take advantage of the scalability of the cloud.
“As these models begin to develop,” says Angelucci, “I think what we’ll see is maybe the data that we didn’t think was valuable is actually the key to how it is we can solve complex business problems.”
The potential of IoT data to help companies create new business models and revenue streams is tremendous. And the role cloud will play in that is exciting.
“In the early days,” says AWS’ Samuels, “I would have conversations with decision makers about what is cloud, why move to cloud, what’s the benefit of cloud. Two questions generally come up with our customers now, ‘What can I move, and how fast can I move?’
“It’s an awesome time to be involved in this industry.”