Merriam-Webster's two part definition of Artificial Intelligence or AI is "an area of computer science that deals with giving machines the ability to seem like they have human intelligence; the power of a machine to copy intelligent human behavior." Make no mistake about it, AI is very much the "in term" around the marketing water coolers. And as such there is no shortage of pieces being written espousing the benefits of AI on the world of marketing. Earlier this month Google unveiled Google Assistant, that was described as being most exciting new product announcement since the iPhone in 2007. According to Geek Time "It is an AI personal assistant that chats with you and can assist you with many tasks. You can chat or talk to the Assistant and it can bring you relevant information, send messages, book events, save reminders, change the lights, play content on your TV and many other actions. Google is working hard to bring more functionality to its Assistant, so you can expect its capabilities to improve over time."

Only a few short years ago, healthcare organizations were wondering what exactly "big data" was and why they had to care about it. As the industry moves into 2017, they might have similar questions about the definitions of terms like "blockchain," "the Internet of Things," and "artificial intelligence" – but the use cases for these cutting-edge technologies are rapidly becoming crystal clear. From precision medicine and business intelligence to data security and patient engagement, the IoT, AI, and blockchain hold exciting promises for providers, patients, and researchers looking to move their big data hoards from repositories to real results. The healthcare sector must join its peers in other industries to leverage these new applications for big data, according to a pair of reports fromthe White House and Gartner, Inc., in order to take advantage of the nearly-limitless opportunities for lowering costs, improving outcomes, and achieving quality goals. Artificial intelligence will soon "improve the world" While android physicians and self-driving gurneys are likely still several decades away, basic artificial intelligence programs are already making an impact on everyday society.

Robots are taking over the World. But something that is going to be a game changer is about to take over the world of HR. Artificial Intelligence or AI is coming to an HR department near you and maybe sooner than you think. Artificial intelligence is going to do for HR what the car did for transportation. It's going to transform how we look at data, what data is worth considering and help us to interpret the intricacies of big data.

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Professor Goel explained that with a chat bot there were no major consequences from a wrong or nonsensical answer. But if Jill Watson gave a wrong answer to a question about the word limit on an assessable it could damage a student's results. He says he is sometimes asked if Jill Watson passes the Turing test – the benchmark for artificial intelligence specified by British computing pioneer Alan Turing – which says that a bot, when asked questions, should be indistinguishable from a human.

If there's a Golden Rule in customer service, it's that people want to be treated like human beings--which implies that it takes another human being to respond to them with the right tone. The advent of artificial intelligence, or AI, in customer service, however, doesn't break that rule the way you might assume. AI can encompass a wide variety of technologies, but it tends to involve tools that can think the way people do, and automate tasks for scenarios that are more predictable in nature or based on contextual data. While AI is poised to have a huge impact on many other areas of a business, including sales and marketing, its use in customer service may represent a particularly good fit, especially for Canadian small and medium-size businesses that need help in that area. That said, the journey to AI in customer service should be thought through now so that SMBs get the most out of what the technology has to offer and ensure it brings value to its customers right away.

Oren Etzioni, a well-known AI researcher, complains about news coverage of potential long-term risks arising from future success in AI research (see "No, Experts Don't Think Superintelligent AI is a Threat to Humanity"). After pointing the finger squarely at Oxford philosopher Nick Bostrom and his recent book, Superintelligence, Etzioni complains that Bostrom's "main source of data on the advent of human-level intelligence" consists of surveys on the opinions of AI researchers. He then surveys the opinions of AI researchers, arguing that his results refute Bostrom's. It's important to understand that Etzioni is not even addressing the reason Superintelligence has had the impact he decries: its clear explanation of why superintelligent AI may have arbitrarily negative consequences and why it's important to begin addressing the issue well in advance. Bostrom does not base his case on predictions that superhuman AI systems are imminent.

The Deep Learning & Artificial Intelligence Introductory Bundle is a four course eLearning bundle designed for users of all experience levels. Some knowledge of math, calculus, linear algebra and probability, as well as Python and Numpy is recommended though. Deep Learning is the major topic of all four courses of the bundle. While there is lots of theory involved in the courses, there is also time for some practical applications. You learn to build an algorithm that predicts user actions on websites, a patient's systolic blood pressure, or using Deep Learning for facial expression recognition.

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

With 2017 fast approaching, technology trends that will keep gathering steam in the new year range from augmented and virtual reality to machine intelligence, Docker, and microservices, according to technology consulting firm ThoughtWorks. The data is based on reports ThoughtWorks' consultants are seeing out in the field. ThoughtWorks sees natural language processing tools like Nuance Mix and hardware providing for natural interactions having a "huge" impact on AR and VR adoption. AR differs from VR in that users still can see the world around them rather than being completely immersed in a virtual space; of the two, AR is likely to be most interesting to businesses. "One excellent application is remote expert systems," said Mike Mason, technology activist at ThoughtWorks.