Artificial Intelligence and Cognitive Computing has an increasing importance in the interconnected digital world. Data is being generated at a pace like never before. Abundance of Data generated by machines, social media, and others, along with advanced algorithms are allowing us to overcome the barriers of machine knowledge and opening new vistas of intelligence and insights being generated from data. We will look into some of the latest applications of Artificial Intelligence and Cognitive computing and how various industries are getting transformed by this phenomenon. We will also explore some of the cutting edge algorithms that are playing a role in this digital revolution.

TECHNOLOGY-FUELED INNOVATION IS NOT AN ANOMALY, BUT RATHER A NEW REALITY. The ability of a company to both foresee and manage fast change increasingly dictates success in the marketplace and CART is seeing a growing number of retailers, wholesalers, and brand manufacturers diving into emerging technologies. The increasing pace of technology-fueled innovation is not an anomaly, but rather a new reality. With more than 45,000 users, the CART platform provides powerful insight into what technologies and innovation the retail industry is focused on. The second quarter of 2016 has seen a growing number of retail industry executives realize that the frenzy of technology-fueled innovation is not an anomaly, but rather a new reality.

The Turing test, the quintessential evaluation designed to determine if something is a computer or a human, may have a fatal flaw, new research suggests. The test currently can't determine if a person is talking to another human being or a robot if the person being interrogated simply chooses to stay silent, new research shows. While it's not news that the Turing test has flaws, the new study highlights just how limited the test is for answering deeper questions about artificial intelligence, said study co-author Kevin Warwick, a computer scientist at Coventry University in England. "As machines are getting more and more intelligent, whether they're actually thinking and whether we need to give them responsibilities are starting to become very serious questions," Warwick told Live Science. "Obviously, the Turing test is not the one which can tease them out."

You can think of deep learning, machine learning and artificial intelligence as a set of Russian dolls nested within each other, beginning with the smallest and working out. Deep learning is a subset of machine learning, which is a subset of AI. AI is any computer program that does something smart, broadly speaking. It can be a pile of if-then statements or a complex statistical model. Usually, when a computer program designed by AI researchers actually succeeds at something – like winning at chess – many people say it's "not really intelligent", because the algorithm's internals are well understood.

Big data in healthcare can now be measured in exabytes, and every day more data is being thrown into the mix in the form of patient-generated information, wearables and EHR systems. Traditional methods of analysis are no longer enough to handle, let alone take proper advantage of, the potential that healthcare data holds. This is where deep machine learning (or simply, "deep learning") comes in. However, its greatest power lies in its ability to extract value from data in ways that humans and traditional machine learning methods cannot. Deep machine learning has applications in a number of healthcare areas.

"Make an appointment for 4pm today with Gary," I say to my assistant as I hang up from a promising phone call with a potential client. There was a time when you had to be high up in an organisation to have an assistant. My assistant is an artificially intelligent piece of software that lives in my smart phone. It makes me wonder if technologies like these could help a business grow. A report called The Future of Employment: How susceptible are jobs to automation was published in 2013 by researchers from Oxford University.

For those of you that can remember the 80s TV series Knight Rider, it was about a guy and his self-driving car, which had an Artificial Intelligence called KITT and some cool secret agent-like gadgets (for you millennials….think Google Car with Amazon Alexa built by James Bond's Q). The hero of the show, Michael Knight could connect and talk with the car via his smartwatch and give KITT some instructions on how to stop the bad guys – though from time to time the car would disagree with him and do what it felt was statistically better. Today the technologies of science fiction from Knight Rider are fast becoming mainstream, and the insurance industry is faced with a glut of new issues and challenges caused by the ever evolving world of connected devices, artificial intelligence, and autonomous technology. Consider a scenario where KITT makes a decision and causes a car accident that results in an insurance claim.

Third, the Recommendation engine of the Social Network, continued to suggest me thing from that domain, a domain in which I am not that interested, but I was skipping them, in the hope to get better suggestions on the domain I actually cared much more. That engagement, at the moment, means for AI to talk more about things that we talk most, to read more about things we read more, to watch more things that we used to watch in the past, and the AI thinks that it is doing a great job. Out world, physical or virtual (Internet) is dominated by Artificial Intelligence. It is about the time we start to look into if, to understand how our Algorithms and AI is Radicalizing humans on the altar on Engagement and Profits.

An artificial intelligence programmed to fly fighter jets has defeated several air combat experts in a simulation, according to a paper published in the Journal of Defense Management. The AI, called ALPHA, was built by Psibernetix, Inc. with assistance from the Air Force Research Laboratory. ALPHA's purpose was to be better than highly trained fighter pilots, and so far it appears up to the task. The AI has gone up against its predecessor, the AFRL's previous AI program, and a series of human opponents. It emerged victorious each time. One of those opponents, Gene Lee, is a retired Air Force colonel with extensive flight experience both as a pilot and an instructor.

Arun Uday is a former VC and currently the founder of Tring Chat, a mobile group chat app that allows users to search and join chat groups of interest to them. Chatbots seem to be climbing the proverbial peak of the tech hype curve with every passing day. Popular messaging apps have been attempting to outdo each other in terms of making their platforms open for bot development. Businesses are also rushing to embrace them, as evidenced by the interest they are eliciting from even staid institutions such as centuries-old banks. The frenetic action notwithstanding, the moot point, as always, is whether bots actually solve any real end-user need.