The Oxford Dictionaries proclaimed “post-truth” as its 2016 word of the year. It defines post-truth as an adjective “relating to or denoting circumstances in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief.” According to the editors, use of the term “post-truth” had increased by around 2,000 percent in 2016 compared to 2015, largely in relation to Brexit—the United Kingdom’s withdrawal from the European Union—and the United States presidential election. Continue reading
There is a new trend apparently emerging to defend against data loss and data damage as a result of external hacking. Some organizations have been removing their sensitive data from the Internet or isolating such data on “private” networks. This trend reminds me of Willie Sutton’s answer when he was asked, “Why do you rob banks?” His answer was, “Because that’s where the money is.” If this trend is real and if it spreads further, expect the hackers to simply move from external hacking to insider hacking. If you ask a hacker, “Why do you rob computer systems?”, he or she would likely answer, “Because that’s where the data is.” I doubt hackers care whether it requires an external hack or an insider hack. As you will see later, removing or isolating sensitive data from the Internet has apparently not stopped the CIA from being either the hack-er or the hack-ee. Continue reading
The internal combustion engine (ICE) has reigned supreme for over 100 years, but prognosticators are predicting its demise over the next few decades – or NOT, depending on your data analytics. Like all technologies, sooner or later a disruptive replacement comes along and renders the status quo extinct. Will electric vehicle (EV) technology be the disruption that kills the ICE? I think so, but the future of EV transportation is not guaranteed.
Data analytics is the new buzz phrase these days. Public service agencies all over the world are looking at data in order to optimize service delivery, as well as help people manage their consumption of resources like electricity, water, and gas. However, data analytics, which is devoid of context, can be easily misleading and detrimental to the objectives of using it for public services. Continue reading