How AI Impacts Storage and IT
Artificial intelligence (AI) and machine learning (ML) have had quite the impact on most industries in the last couple of years, but what about the effect on our own IT industry? On April 1, 2020, the SNIA Cloud Storage Technologies Initiative will host a live webcast, “The Impact of Artificial Intelligence on Storage and IT, where our experts will explore how AI is changing the nature of applications, the shape of the data center, and its demands on storage. Learn how the rise of ML can develop new insights and capabilities for IT operations. In this webcast, we will explore: Read More
On February 13, 2019, the SNIA Cloud Storage Technologies Initiative (CSTI) presented a live webcast, 
Cloud data centers are by definition very dynamic. The need for infrastructure availability in the right place at the right time for the right use case is not as predictable, nor as static, as it has been in traditional data centers. These cloud data centers need to rapidly construct virtual pools of compute, network and storage based on the needs of particular customers or applications, then have those resources dynamically and automatically flex as needs change.
To accomplish this, many in the industry espouse composable infrastructure capabilities, which rely on heterogeneous resources with specific capabilities that can be discovered, managed, and automatically provisioned and re-provisioned through data center orchestration tools. The primary benefit of composable infrastructure results in a smaller grained sets of resources that are independently scalable and can be brought together as required. On February 13, 2019, The SNIA Cloud Storage Technologies Initiative is going to examine what’s happening with composable infrastructure in our live webcast, 
The SNIA Cloud Storage Initiative (CSI) has had a rebrand; we’ve added a T for Technologies into our name, and we’re now officially the Cloud Storage Technologies Initiative (CSTI).
That doesn’t seem like a significant change, but there’s a good reason. Our old name reflected the push to getting acceptance of cloud storage, and that specific cloud storage debate has been won, and big time. One relatively small cloud service provider is currently storing 400PB of clients’ data. Twitter alone consumes 300PB of data on Google’s cloud offering. Facebook, Amazon, AliBaba, Tencent – all have huge data storage numbers.
Enterprises of every size are storing data in the cloud. That’s why we added the word “technologies.” The expanded charter and new name reflect the need to support the evolving cloud business models and architectures such as OpenStack, software defined storage, Kubernetes and object storage. 
We are increasingly living in a multi-cloud world, with potentially multiple private, public and hybrid cloud implementations supporting a single enterprise. Organizations want to leverage the agility of public cloud resources to run existing workloads without having to re-plumb or re-architect them and their processes. In many cases, applications and data have been moved individually to the public cloud. Over time, some applications and data might need to be moved back on premises, or moved partially or entirely, from one cloud to another.
That means simplifying the movement of data from cloud to cloud. Data movement and data liberation – the seamless transfer of data from one cloud to another – has become a major requirement.