As we look back at the past decade of innovation in the private and the public cloud space, led by Amazon, Microsoft, Google and IBM, the most significant emerging trend we see is the drive toward serverless computing and the appliance model.
The cloud Computing paradigma
In the initial days of cloud computing, companies used cloud as a substitute for their colocation facilities and/or data centers. There were certain incremental benefits to this approach. One benefit was moving capital expenditure away from an equipment model to an operational model. Another was arriving at a service model where the cloud providers themselves take care of software updates, which was especially true with companies like Microsoft and Oracle. If you were using Microsoft software, for example, you wouldn’t need to worry about the periodic operating system updates in managed instances of Windows server virtual machines.
As cloud computing has advanced, more companies have made the transition to the cloud-based platform as a service model (PAAS), which delivers computing and software tools over the internet. PaaS can be scaled up or down as needed, which reduces up-front costs and allows you to focus on developing software applications instead of dealing with hardware oriented tasks.
To support this shift toward the PaaS cloud, public cloud companies have begun heavily investing in building or acquiring serverless components that have pre-built unit functionality. These out-of-the-box tools allow organizations to test new concepts, iterate and evaluate without taking on high risk or expense. In the past, only large companies with considerable resources could afford to experiment with AI-based innovation. Now startups or small teams within larger enterprises have access to cloud-based, prepackaged algorithms offering different AI models that can fast-track innovation.
Examples of Cloud Servless Computing
Let’s explore practical examples of how this trend helps democratize innovation in artificial intelligence by minimizing the time, money and resources needed to get started.