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Philip Piletic
Philip Piletic
Originally from Europe, now situated in Brisbane, AUS where I work & live. My primary focus is fusion of technology, small business and marketing. I love to share my experience with others by contributing to several blogs and helping others achieve success.

Objects, in terms of the programming world, are simply abstractions of code with specified properties. These abstractions make Object Oriented Programming (OOP) such a useful way to think about how computers should manipulate and utilize data to achieve specified goals. In the real world, objects are items that are in many ways equally identified by the properties they possess.

For example, A ball is round. A pillow is soft. The more we know about an object’s properties, the more function we are able to get from such an object. As humanity moves deeper into the reality of the Internet Of Things (the IoT) it becomes evident that objects tied to the Internet become abstracted into data have driven models that can be tangibly analyzed, categorized and used to manipulate data in ways never before thought possible.

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In a sense, the Internet-ready objects we own create a situation where our lives can be abstracted into something very much like an Object-Oriented Program state. Such a model could shed considerable light on deriving the means to make humans and businesses far more productive than ever before. Here are some ways this could happen.

A Grasp on Our Means

With the IoT constantly analyzing data about who we are and what Internet-ready objects we possess, computers will be able to directly answer critical questions about the means that exist right at our own fingertips. If we do not know how to solve particular problems in our lives, such as financial problems, for example, because we imagine we lack the means to do so, a quick analysis of what true means we possess will aid us in a more accurate assessment of how to better manage our situation.

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Knowing how to use what means we possess, such as our Internet-ready devices, in conjunction with one another to reach an end goal would eliminate the frustrations many face from not being able to figure out a way to achieve the things they strive to achieve in life.

Since computers are not limited by our emotional baggage and forgetfulness, they possess a unique ability to objectively assess if we possess the means to work through a stated problem and also provide the optimal path we should take to achieve success. Alternatively, a computer can analyze our situation and possessions and help us to identify deficiencies that, if addressed, would help us achieve outcomes that genuinely benefit our situation.

Along the way, the same system can help us to understand the cost to our person and our possessions for proceeding along a given course when attempting to achieve a specified outcome. In such situations, people will be able to anticipate if achieving an outcome is worth the assessed cost or if it would be better to strive to achieve a different goal instead to minimize the cost involved.

Vast Stores of Data Pave the Way

With the IoT emerging all around us, demands for increased data storage become key to making the IoT a highly functional global system. IN this respect, data on specific humans and businesses are themselves instances of objects. Since the system can also store how any given object achieves a stated goal, such information can be easily passed to any instance. In other words, any human or business, for example, can look to data gathered on other humans or businesses to make more intelligent decisions.

The less experienced can learn from the more experienced how to handle situations already mapped out, provided that the conditions are the same or similar enough to ensure success. In this capacity, designing apps to distribute such information would make the information itself an even more valuable commodity.


It may be difficult for people to imagine themselves, their businesses, and their Internet-ready possessions as being nothing more than abstract objects; however, to a computer, such a state is a very organized way of modeling situations. The needs of objects turn out to be easily met by an analysis of available means or by resolving deficiencies.

In this respect, businesses will be able to build an industry that is based in utilizing the digital assets of the IoT to improve the functional success of other objects, such as specific humans and businesses, identified by the system as instances of objects whose data is manipulated to return an optimal path to success for a price.

The simple fact that so many of our personal details and possessions will be IoT-connected will provide the level of data resolution necessary for the IoT computer networks to gain access to the critical details needed to achieve such goals.

In this sense, the IoT will be in a position to virtually treat and manipulate the most intricate data available about people as if these people were themselves instances of objects in an OOP model. This will, in turn, create metrics on segments of humanity for which businesses have not formerly had such complete and unrestricted access.

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