The Future is Changing Due to Behavior Prediction Technology


The technology we are enjoying today, is here to stay and we should look at the fundamental changes, that technology brings to our society.

In today’s article, we are going to talk about, behavior prediction technologies.

If people are okay with being spied on by the government, all day long, for the sake of safety, then we might be in for a rude awakening.

The government believes that, by using a new framework, developed by researchers at Binghamton University of New York and State University of New York, they could one day be able, to understand future terrorist behaviors, by recognizing patterns in past attacks.

The Government cannot always, uncover the intentions of terrorists, using social media and telecommunications, because terrorists are more carefuly utilizing these technologies, in order to prepare for attacks.

The name of this technology is: the Networked Pattern Recognition (NEPAR) Framework.

This technology, would help define useful patterns of attacks, to understand behaviors, to predict terrorists’ future moves, and to prevent and detect potential terrorist behaviors and analyze patterns, which are connected to terrorist activities.

Big data sets are also playing a key role, in forecasting trends or in predicting customer behaviors.

Both computers and humans are being used, in order to collect all this data, which is usually valuable to big companies, who want to sell something.

Computers comb through large sets of data, though advanced algorithms, parameters are set by humans and results are analyzed by humans as well.

We are of course working on a technology, which could take the human factor, all together, away from the technology.

In order to improve the customer experience, and to plan for the future of the company, many companies in the finance, insurance, retail, tourism, healthcare, pharmaceutical, and utility companies, rely on the predictive behavior technology.

There are many beneficial uses for the predictive behavior technology of course, because the strategies of a range of businesses, have been enhanced, due to the multiple forms of the technology, forms such as predictive modeling, decision analysis and optimization as well as transaction profiling and predictive search, are all good tools for major companies to advertise.

As a result the benefits of predictive behavior technology, research in advertising has been producing better, advertising strategies, to gain more profits, which is the bottom line of any company.

Manager and executives, can now make better decisions, which can influence upselling, sales and revenue forecasting.

The predictive behavior technology, has some draw backs though, which can hold companies back, because even with sufficient data, computer algorithms, fail to consider too many variables, in consumers.

The changing weather, the moods, relationships, time and other things, can influence customer-purchasing patterns.

The biggest concern with the predictive behavior technology, is that the privacy of many people, is not so private any more.

Many people are aware that there personal information, can be sold, for the sole purpose of company productivity.

When information is exposed, for the purpose of marketing, then companies are violating privacy rights, and many people usually sue these companies, because their privacy is constantly being violated.

People just don’t trust these companies, with their personal information, this is why the predictive behavior technology, raises concerns among the public.

People worry that these companies, may one day have enough power to manipulate people, into doing whatever they want.

Thank you, for reading this article!!!


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Hernando Cadet

Hi every one, I obtained a bachelor's degree in Bioinformatics back in 2006, from Claflin University, after I received my bachelor's degree, I gained full time employment as a software engineer at a Video Relay Service company, maintaining databases and developing software for a new developed device called the VPAD.

I worked at that company for two years, then I became a web developer, and worked for a magazine for three years. After that job, I worked as a Drupal web developer, as a subcontractor for the NIH, for a year and then left the job to go back to school.

Hernando Cadet

Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without

Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.