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Machines can be programmed to mimicking human intelligence and learn by examining patterns in data results. It is a result of collective predictive analysis, continuous analytics and prescriptive analytics. al-time, post or pre-event data analysis processing can increase the accuracy of predictions and act accordingly with respect to the commands input by the external stimulus. Stimulating this artificial intelligence is a result of collective predictive analysis, continuous analytics and prescriptive analytics. Most of the current applications, or devices are completely dependent on the AI, as it gives a better interactive environment which is impelling.

Just the mention of AI and the brain invokes pictures of Terminator machines destroying the world. Harnessing the power of new technologies for good is one of our key challenges and the potential of these advances as well as their application to the world’s most pressing problems is immense. Artificial Intelligence is the simulation of human intelligence done by machines programmed by us. The machines need to learn how to reason and do some self-correction as needed along the way. Now that we have detailed algorithms which Artificial Intelligence systems can make use of, they can perform huge tasks faster and more efficiently. Machine Learning and Deep Learning are just ways to achieve Artificial Intelligence.

As with most changes in life, there will be positive and negative impacts on society as artificial intelligence continues to transform the world we live in. How that will balance out is anyone's guess and up for much debate and for many people to contemplate. As an optimist at heart, I believe the changes will mostly be good but could be challenging for some. Here are some of the challenges that might be faced (and we should be thinking about how to address them now) as well as several of the positive impacts artificial intelligence will have on society.

Ethics should be a central consideration for companies and individuals developing AI, in order to create positive meaningful change for society. Those who have considered the ethical implications of their products and services, and who monitor, manage and communicate effectively about them, will have a competitive edge.

The true value of data lies in connecting many pieces together from various sources to create a holistic view. That's where AI becomes critical. It works somewhat like a research assistant. You tell it that you have a theory about what might be learned by cross-referencing different kinds of data and set the AI loose to crawl all that data and learn on its own, looking for complex patterns that would escape even brilliant humans. And unlike a human, an AI bot can absorb and learn from massive floods of data in an instant.


The use of Big Data has continued to grow and mature, with some organizations reaping considerable rewards. The processing of Big Data has recently advanced to a new level of evolution, in the form of AI (Artificial Intelligence) platforms. AI platforms promise significant impact (and disruptions) over the next decade. The use of AI to process massive datasets will bring previously unknown improvements to Business Intelligence and Analytics among innumerable other technologies.

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