Machines contain the breadth of human knowledge, yet they have the common sense of a newborn. The problem is that computers don't act enough like toddlers. Yann LeCun, director of artificial intelligence research at Facebook, demonstrates this by standing a pen on the table and then holding his phone in front of it. He performs a sleight of hand, and when he picks the phone up--ta-da! It's a trick that'll elicit a gasp from any one-year-old child, but today's cutting-edge artificial intelligence software--and most months-old babies--can't appreciate that the disappearing act isn't normal.

The development of Internet of Things (IoT) and artificial intelligence (AI) technologies raises the issue on whether they should also act ethically. On 26 October 2016, I attended the IoT Solutions World Congress, one of the largest events in the world on the Internet of Things, and I had the pleasure of being part of a panel on "Ethical Uses of Data", together with Edy Liongosari from Accenture, Prith Banerjee from Schneider Electric, Derek O'Halloran from the World Economic Forum, Sven Schrecker from Intel and David Blaszkowsky from the Financial Semantics Collaborative. In a few years, we will now own almost anything. Our car, our house and whatever we use during the course of the day will become "as a service". In this context, the sole asset that will belong to individuals is their "digital identity".

Several years ago, I had a conversation with a client who did not like what I had to say about mobile banking. Clients don't always agree with our analysis, so the conversation would not have been especially remarkable, except that this client asked to speak with another analyst about the topic. When I told my male colleague about the conversation, he said, "Well, I'll tell him the same thing." "But you have a British accent and he will believe you." Voices, names, accents -- they all influence who we listen to and who we ignore.

The Cognonto demo is powered by an extensive knowledge graph called the KBpedia Knowledge Graph, as organized according to the KBpedia Knowledge Ontology (KKO). KBpedia is used for all kinds of tasks, some of which are demonstrated by the Cognonto use cases. The KBpedia Knowledge Graph is a structure of more than 39,000 reference concepts linked to 6 major knowledge bases and 20 popular ontologies in use across the Web. Unlike other knowledge graphs that analyze big corpuses of text to extract "concepts" (n-grams) and their co-occurrences, KBpedia has been created, is curated, is linked, and evolves using humans for the final vetting steps. KBpedia and its build process is thus a semi-automatic system.

Media reports say an artificial intelligence (AI) system called MogIA, developed by Sanjiv Rai, an innovator based in Mumbai, has predicted that Donald Trump will win Tuesday's presidential elections in the United States. Unveiled in 2004, the system apparently got it right in the last three presidential elections. It also predicted that Trump and Hillary Clinton will be the nominees of the Republican and Democratic Parties respectively. Rai is quoted as saying that the algorithm got even better as it has "learnt" from the last few rounds. MogIA is named after Mowgli from The Jungle Book.

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.