iaas-vs-paas-vs-saas

IaaS vs. PaaS vs. SaaS

The “as-a-service” models are typical of the second wave of Web 2.0, built on top of cloud computing. Indeed, these models’ basic premise is to offer a solution to the final customer without having to host it on-premise, with complex implementations and large overhead. Yet while PaaS and IaaS are skewed toward development teams. SaaS has wider applications toward end-users, also in non-technical departments.

Infrastructure as a service (IaaS)

iaas-business-model
IaaS stands for infrastructure as a service. Together with other “as-a-service” models, the basic premise of this model is to offer a solution to the final customer without having to host it on-premise, with complex implementations and large overhead. The IaaS model provides virtualization, storage, network, and servers where the final user/customer will handle applications, data, operating systems, and run times.

Read Also: IaaS Business Model

Platform as a service (PaaS)

paas-business-model
PaaS stands for the platform as a service. Together with other “as-a-service” models, this model’s basic premise is to offer a solution to the final customer without having to host it on-premise, with complex implementations and large overhead. The PaaS model is a form of evolved cloud computing. The provider, together with virtualization, storage, network, and servers, provides middleware and runtime to the user/customer, which only handles data and applications.

Read Also: PaaS Business Model

Software as a service (SaaS)

saas
In the SaaS model, the provider also makes the applications available to the final user on top of the cloud. The applications and data are hosted and maintained with the third-party SaaS provider, enabling the user/customer to have a quick and easy setup and no overhead.

Read Also: What Is SaaS

Connected Business Frameworks

customer-lifetime-value
One of the first mentions of customer lifetime value was in the 1988 book Database Marketing: Strategy and Implementation written by Robert Shaw and Merlin Stone. Customer lifetime value (CLV) represents the value of a customer to a company over a period of time. It represents a critical business metric, especially for SaaS or recurring revenue-based businesses.
aiops
AIOps is the application of artificial intelligence to IT operations. It has become particularly useful for modern IT management in hybridized, distributed, and dynamic environments. AIOps has become a key operational component of modern digital-based organizations, built around software and algorithms.
mlops
Machine Learning Ops (MLOps) describes a suite of best practices that successfully help a business run artificial intelligence. It consists of the skills, workflows, and processes to create, run, and maintain machine learning models to help various operational processes within organizations.
continuous-intelligence-business-model
The business intelligence models have transitioned to continuous intelligence, where dynamic technology infrastructure is coupled with continuous deployment and delivery to provide continuous intelligence. In short, the software offered in the cloud will integrate with the company’s data, leveraging on AI/ML to provide answers in real-time to current issues the organization might be experiencing.
continuous-intelligence-business-model
The business intelligence models have transitioned to continuous intelligence, where dynamic technology infrastructure is coupled with continuous deployment and delivery to provide continuous intelligence. In short, the software offered in the cloud will integrate with the company’s data, leveraging on AI/ML to provide answers in real-time to current issues the organization might be experiencing.
continuous-innovation
That is a process that requires a continuous feedback loop to develop a valuable product and build a viable business model. Continuous innovation is a mindset where products and services are designed and delivered to tune them around the customers’ problems and not the technical solution of its founders.
technological-modeling
Technological modeling is a discipline to provide the basis for companies to sustain innovation, thus developing incremental products. While also looking at breakthrough innovative products that can pave the way for long-term success. In a sort of Barbell Strategy, technological modeling suggests having a two-sided approach, on the one hand, to keep sustaining continuous innovation as a core part of the business model. On the other hand, it places bets on future developments that have the potential to break through and take a leap forward.

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