Almost 37% of organizations have invested $5 million or more in cognitive technologies, states a survey by Deloitte. Inside and under every app we use every day there lies the revolution of technology. A revolution that started decades ago is now empowering organizations to deliver better and smarter services. The demand for artificial intelligence professionals has rapidly increased. But since AI adoption is still in its infancy there is a dearth for talent.

According to a report by BofA Merrill Lynch, the Robots and Artificial Intelligence solutions market will grow to $153 billion dollars by 2020 – comprising 83 billion dollars for robot and robotics and 70 billion dollars for AI-based analytics. As Venkat Viswanathan, chairman and founder at LatentView Analytics states, "What can be automated should be. In rule based processes, AI is more efficient than human interaction. However, we are far away from AI being center stage. I estimate that on an average about 90 percent of analysis today is done by humans and 10 percent by machines. As we build technology that helps machines get smarter, this will change. In another 10 years, machines will do 50 percent of analysis."

The history of Artificial Intelligence isn't a long one, around 60-70 years, but the advances in recent years has been huge. The Modern Artificial Intelligence Infographic shows how technology coupled with studies of the human brain have aided in making AI a reality, and a reality we can use everyday. Machines are already intelligent, but we fail to recognise it. When a machine demonstrates intelligence we counter it by saying'it's not real intelligence'. Therefore Al becomes whatever has not been accomplished so far by a machine.

What does the future of work look like? Will there still be jobs even if the nature of work is exceptionally different from today? New technologies undoubtedly changed the way we work. Recent studies suggest that unemployment rate today is significant in most developed nations and it's only going to get worse. By 2030, mid-level jobs will be by and large obsolete.

Responses to a 2016 Tech Pro Research survey indicate that artificial intelligence and machine learning will be a significant area of development for IT in the next few years. In this recent survey, only 28 percent of respondents, most of whom were in IT leadership positions, said they have firsthand experience with artificial intelligence or machine learning. However, if the survey results hold true, the majority of respondents will be using the technologies at work in the next few years. Forty-two percent of respondents, most of whom were in tech leadership positions, said their company lacks the skills necessary to implement and support artificial intelligence or machine learning. Almost as many respondents (41 percent) said all the implementation and support work would be done in house when the time comes, and that their company is working to address artificial intelligence and machine learning in the corporate security plan.

We now live in an age where machines can teach themselves without human intervention. This perpetual self-education can produce insights that are helpful in making proper and productive decisions for us across a variety of fields, from medicine to interstellar space travel. Let's take a look at what Machine Learning is, how it works, and how it will change the world we live in. Machine learning (ML) deals with systems and algorithms that can learn from various data and make predictions. An example is predicting traffic patterns at a busy intersection--a program can run a machine learning algorithm containing data about past traffic patterns and, having "learned" previous data, it can devise better predictions of future traffic patterns.