In finishing the chapters in my e-book on the augmented intelligence, I've decided to write a paper on the relativity of the new IT model. The fundamental concept is that we need to change the idea of a unit of work in computing to be self-inclusive to the context of the work. This is a fundamental concept that I've been working on which changes and inverts the current theories of computing to adapt to the Internet of things and machine intelligence. We also need to redefine the concept of networks to service in communications provided by the carriers of the transport. That enables the networks to access services irrespective of their location in the network that is block chained together and across multiple carriers.
The new model deals with big data and augmented intelligence as a service that can be local at the edge or on the transport itself. This enables the services to be performed at the point of service to the sensors that are collecting the data. It took a long time working with multiple providers of hardware and software to realize this is fundamental to computing in the new IT model.
It's a model of computing that changes relative to the unit of work that is trying to be performed. For computing to become molecular in nature and connected through the transport in an open exchange. Shared services are used to create services through an open exchange.
This model has become fundamental to new development.
I've discovered that the concept of virtualization does give way to discrete individual containers that are being used today in computing. Orchestration and management decentralized similar to the work done in Kubernetes that Google discovered a long time ago. Interaction is random as opposed to our current model which is a very controlled system. It requires a high degree of parallelism in the in-memory data management and a highly sophisticated edge computing. The pundits going around talking about digital transformation, IOT, and big data are looking in the rearview mirror. The future is not purely artificial intelligence but rather a very complex but basic model of interaction of units of work.
In dealing with this thesis, it is crystal clear that computing today is looking in the rearview mirror of an automobile while it is speeding into a new way of doing business.