GHCL Digest JUNE 2018

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7) “What did you mean by that?” Systems have learned to ascertain the intent behind the wri en word. Ci bank and PayPal detect the customer sen ment about their products, and one researcher's machine can tell which Amazon.com which book reviews are sarcas c. 8) Computers can literally read your mind. Researchers trained systems to decode a scan of your brain and determine which type of object you're thinking about-such as certain tools, buildings and food with 80 percent accuracy for some human subjects. 9) Helwle -Packard (HP) earmarks each and every one of its more than 300000 worldwide employees according to “Flight Risk”, the expected chance he or she will quit their job, so the managers will intervene in advance where possible and plan accordingly otherwise. 10) The American Public University system predicted student dropouts and used these predic ons to intervene successfully 11) Wikipedia predicts which of its editors, who work for free as a labor of love to keep this priceless online asset alive are going to discon nue their valuable service. 12) Researchers at Havard Medical School predict that if your friends stop smoking you are more likely to do so yourself as well . Qui ng smoking is contagious. 13) Insurance Companies predict who is going to crash a car or hurt themselves another way (such as a ski accident). Allstate predicts bodily injury liability from car crashes based on the characteris cs of insured vehicle. demonstra ng improvements to predic on that could be worth an es mated $40 million annually. Another top insurance provider reported savings of almost $ 50 million per year by expanding its actuarial prac ces with advanced predic ve techniques. 14) Ford is learning from data so its cars can detect when the driver is not alert due to distrac on, fa gue or intoxica on and take ac on such as sounding an alarm. 15) Researchers have iden fied avia on incidents that are five mes more likely than average to be fatal using data from Na onal Transporta on safety board. 16) All large banks and credit card companies which debtors are more likely to turn offenders, failing to pay back their loans or credit card balances. Collec on agencies priori ze their efforts with predic ons of which tac c has the best chance to recoup the most from each defaul ng debtor. 17) Beyond life insurance, one top-five health insurance company predicts the probability that elderly insurance policyholders will pass away within 18 months based on clinical markers in the insured's recent medical claims. Fear not-it's actually done for benevolent purposes. 18) Murder is widely considered impossible to predict with meaningful accuracy in general, but within atrisk popula on predic ve methods can be effec ve. Maryland analy cally generates predic ons as to which inmates will kill or be killed. University law enforcement researchers have developed predic ve systems that foretell murder among those previously convicted for homicide. 19) One fraud expert at a large bank at United Kingdom extended his work to discover a small pool of terror suspects based on their banking ac vi es. While few details have been disclosed publicly. It's clear that the Na onal Security Agency also considers this type of analysis a strategic priority in order to automa cally discover previously unknown poten al suspects. 20) The IRS (Indian Revenue service) predicts if you are chea ng on your taxes. June <strong>2018</strong> 20
Book Review Emo onal Agility Get Unstuck, Embrace Change, and Thrive in Work and Life To be emo onally agile is to be flexible with our thoughts and feelings, and not hold impenetrable, the concrete beliefs of our past, as this cannot lead to change. A seed cannot grow from concrete, only from a mixture of fer le soil, water and sunlight. In the same way, we must allow a combina on of different experiences and thoughts to shape us, and not be bound to a certain number of beliefs that we have always held. Susan David, PhD and psychologist on the faculty of Harvard Medical School, asks us to consider who's in charge – the thinker or the thought. Her point is that if we want to be emo onally agile in all areas of our life - that is, able to choose our response and not get hooked by thoughts and feelings that don't serve us, we need to be able to follow four basic principles outlined in the book. Susan David Dr. David cites four key concepts: showing up, stepping out, walking your why and moving on. These concepts emphasise the overall stance she takes in her book and are fundamental in crea ng emo onal agility and adap veness: Showing Up: To face your thoughts or feelings is arguably the most difficult thing to do but is also the most impera ve to facilitate posi ve change. David suggests being curious of them, accep ng the difficult and posi ve thoughts equally in order to see them for what they are. Stepping Out: This concept is all about detachment, a detachment from your inner monologue, thoughts and feelings, in order to see that they are just emo ons, not you. These emo ons are not bound to you and are not an essen al part of your being. To detach from them will result in you feeling far more autonomous over your ac ons and decisions. To be emo onally agile is to be flexible with our thoughts and feelings, and not hold impenetrable, the concrete beliefs of our past, as this cannot lead to change. A seed cannot grow from concrete, only from a mixture of fer le soil, water and sunlight. In the same way, we must allow a combina on of different experiences and thoughts to shape us, and not be bound to a certain number of beliefs that we have always held. Walking Your Why: You need to retain core values, as these are a fundamental part of who you are. You shouldn't give these up, but use them to dictate your ac ons. They provide you with your substance, your iden ty and roles, and as long as they aren't nega ve values then no refinement is needed. Your values are your driving force. June <strong>2018</strong> 21
Page 1 and 2: June 2018 GHCL DIGEST GHCL wins Cor
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GHCL Digest JUNE 2018

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