Part 8:

AI and ONPASSIVE – The new way to the Internet

Concerning the Use of AI, There are Basically Two Types of Companies:

Those that develop and sell AI as a core product, and those that use AI to complement their value line; their products and services. 

ONPASSIVE is in the latter category and has incorporated machine learning into its platforms.  But you should also know:

ONPASSIVE has developed and continues to develop its own AI technologies.

ONPASSIVE creates this type of AI for developing and running its products only and they are not for sale as a stand-alone product.

ONPASSIVE made its AI a part of the mechanism, the structure, the process, the engineering, and the architecture in manufacturing nearly all of its products. 

ONPASSIVE has created its technologies 100% from “scratch.”

ONPASSIVE does not use any third-party or second-hand material;

ONPASSIVE is totally Organic, Exclusive, and Proprietary.

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In other words, it focuses on the development of computer programs that can access data and use it learn for themselves. 

Some people call it “deep learning,” which technically is machine learning as it functions in the same way; it just has different capabilities. The main difference between deep learning and machine learning is that machine learning models become progressively better though may still need some guidance. 

When machines are programmed to function like a human brain, they learn to do things that humans do.  ONPASSIVE uses this type of AI so machines can automate the work normally done by human activity.  In other words, ONPASSIVE’s computers and software automate work usually done by people at workstations and laptops, or some other type of user interface. 

Through AI, ONPASSIVE’s automation can be done on a mass scale with very large numbers and a speed that is much faster than anything else available today. Technically, every facet of ONPASSIVE uses or has machine learning attributes operating in it to some extent.

As ONPASSIVE grows, and our ecosystem matures, we’ll have a greater and greater need for this type of technology so it too will grow to do or augment greater amounts of the work normally done by people.  At ONPASSIVE, the machines… computers… are told what to do through programming. 

In other words, we tell the program what its objectives are and give it rules to follow in meeting those objectives; much like the Google programmers did with AlphaGo. We tell the program these things through our coding… our software, through Information technology within the service, so that it can project a predicted future on behalf of our consumer and the company.

But this is a part of ONPASSIVE its buyers and re-sellers are likely to never know or hear about simply because it’s a pre-designed or a pre-coded characteristic. It exists beneath the user interface and renders a particular prediction either based on

(1) data and rules provided to it as a result of its human programming or

(2) data acquired through its self-learning capabilities.

Whatever the case, its algorithms are “fuelled” by the data it’s been given or collected and then used to automate different functionalities so it can work toward a predicted [and acceptable] outcome.

As used here, algorithms are simply a set of processes or sets of rules to be followed in calculations or other problem-solving operations, especially by a computer, to anticipate needs and render predictable offers or outcomes.

ONPASSIVE also uses Natural Language Processing (NLP). This is a field in machine learning that is able to provide a computer with the ability to understand, analyze, manipulate, and potentially generate human language.  As such, NLP is a component of AI. 

To understand what this is, we could compare it to Neural Linguistic Programming (Also NLP) that refers to our [biological] neural net or neural language functions of our brain.  It’s like learning the language of our own mind and using it for personal development.

It uses perceptual behavioral and communication. As such, natural language processing is the ability of a computer program to understand human language as it is spoken and Language Processing is a component of an artificial language.