Technology Magazine October 2017 | Page 100

Head in the cloud
IBM
models , and distributed deep learning clusters , will fuel the growth of my business ,” Schnatterly continues . “ Of course , we will continue to provide the infrastructure for core banking , telco billing , ERP , and large databases , but we see the growth coming from cognitive systems – and this is our sweet spot . Our systems are designed from the ground up to handle AI better than all other alternatives , which allows us to navigate this latest shift from a position of strength .”
Head in the cloud
In addition to machine learning , IBM is embracing cloud technology . Whilst written usage of the term ‘ cloud computing ’ dates back to a 1996 business plan written by executives at Compaq , the concept only began gaining momentum a decade later when companies such as Google and Amazon began using ‘ cloud computing ’ to describe the new paradigm in which people were increasingly accessing software , computer power and files over the internet instead of on their desktops .
The cloud is not a place or destination , rather , it is now best characterised as a set of capabilities . “ This is not always well understood ,” comments Schnatterly . “ Largely due to the success and growth of public cloud providers , like Amazon Web Services ( AWS ), some folks confuse the cloud with a place to which you move your data and workload . However , a public cloud is just one type or delivery model for cloud services . In fact , there are multiple ways and places from which to deliver and consume cloud services .”
As most businesses looks to embrace the cloud , IBM is engaging with them around workloads and data , to architect the best cloud model and to deliver the best business outcomes . “ Some of our clients prefer to run some of their applications and workloads from the public cloud , for which the IBM Cloud would be a possible solution . However , it is highly unlikely that any company would choose to move all their workloads and data to a single cloud provider , so it is important for IBM to allow clients the flexibility to support and maintain a multi-cloud platform strategy ,” states Schnatterly . “ Since these multiple cloud types
100 October 2017