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Chat applications are becoming a mainstream trend and our preferred way of interacting with colleagues, friends and family. From the early days of SMS to the favorite snaps of our children, real-time online conversations are everywhere and here to stay. The acquisition of WhatAapp by Facebook in 2014 for a hefty $22 Billion price tag made it clear and promising as TechCrunch noticed it one year later. But although TechCrunch saw messaging apps as the future of mobile portal, they remained more or less next to the Internet, without a direct impact, except their increasing audience. The recent surge of interest in Bots and AI is changing the game and we'll be witnessing the second major fragmentation of the Internet.

A Barbie doll that uses artificial intelligence to communicate interactively. 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.

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.