Announcer: Live from Las Vegas It's the Cube. Covering IBM Think 2018, brought to you by IBM. >> Hello everyone, I'm John Furrier. We are here in the Cube at IBM Think 2018. Great conversations here in the Mandalay Bay in Las Vegas for IMB Think, which is six shows wrapped into one, all combined into a big tent event.
Good call by IBM, great branding. Our next guest is Rob Thomas. Cube alumni, general manager of IBM Analytics. Great to see you. >> John, great to see you https://casinoslots.sg/online-casino-bonuses.
Thanks for being here. >> We love having you on, Cube alumni many times. I mean, you've seen the journey. I can remember when I talked to you, it was almost five, four or five years ago.
Data, Hadoop, big data analytics, data lakes evolved significantly now where Jenny's major keynote speech has data at the center of the value proposition. I mean, we've said that before. >> Yes, we have. >> The data is the center of the value proposition. >> Every company is finally waking up. >> And then I had coined the term "the innovation sandwich."
Blockchain on one side of the data, and you got AI on the other side, it's actually software. This is super important with multi-cloud. You've got multiple perspectives. You've got regions all around the world, GDPR, which everyone's been talking about, you guys have been doing lately, but the bigger question is: the technical stacks are changing.
30 years of stacks evolving, technology under the hood is changing, but the business models are also changing. This puts data as the number one conversation. That's your division.
Your keynote here, what are you guys talking about? Are you hitting that note as well? >> So, number one is, think of this ladder to AI.
We've talked about that before. Every client's on a journey towards AI, and there's a set of building blocks everybody needs to get there. We used the phrase once before, "There's no AI without IA," meaning if you want to get to that end point, you have to have the right information architecture. We're going to focus a lot on that. We've got a new product we've released called IBM Cloud Private for Data, which takes all of the assembly out of the data process. A really elegant solution to see all your enterprise data.
That's going to be the focus for me this week. >> I want to get into that, but I also heard Scott, your VP of marketing now, talk about bad data can cripple you. So, I want to explain what that actually means.
Because it's always been dirty data, it's been kind of a data science word, data warehouse word, clean data, you know, data cleanliness, but if you're going to use AI as a real strategic thing, you need high quality data. >> You do. >> John: Your thoughts? >> Think backwards from the shiny object, 'cause everybody loves the shiny object, which is some type of AI outcome, customer centricity, making you feel like a celebrity. There's two things that have to happen before that, or really three.
One is you need some type of inferencing, a model layer where you're actually automating a lot of the predictive process. Before that, you need to actually understand what the data is. That's the data governance, the data integration. And before that, you need to actually have access to the data, meaning know where it's stored.
Ifergan took the case to court where the judge dismissed the unlucky punter, even though Ifergan was only claiming half the winnings. Here’s what happened. He bought two Super 7 lottery tickets at 8.59pm for the May 23rd, 2008 jackpot. While one ticket printed out before the clock struck the 9.00pm deadline, the other ticket, the one that won the jackpot, printed out just after the 9.00pm deadline. After spending years on the case and racking up at least $80,000 in legal fees, Ifergan told reporters that, “Yes, it cost me a lot of money, but it also consumed me for seven years.” Some of the most volatile fluctuations in recent history have been observed in the relatively new crypto currency markets.
In the last quarter of 2017, Bitcoin reached a high of almost $20,000, only to slump again by 30% at the end of the year. It has continued dropping at an alarming rate in the first quarter of 2018, reaching a low of $7,000 in April. Harvard educated Cameron and Tyler Winkelvoss, dubbed the Bitcoin twins, would have felt a hit towards the end of 2017.
The New York Times estimated their worth to be $1.3 billion. The pair bought 1 percent of all Bitcoins, that’s 120,000 coins in 2012, when one coin cost less than $10. Those coins would have been worth $3.6 billion last year, but now only $840 million. In April of 2013, Bitcoin dropped 71% overnight, tumbling from $233 to $67, meaning the twins would have lost $20 million in a matter of hours and minutes, while tucked away in their respective beds. Despite the coin’s volatility, the twins are firm believers in the technology, and have held on through thick and thin, a tactic that has thus far served them very well.
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This video is brought to you by Honey. Save money when shopping online by visiting the link in the description and downloading the free browser extension. On April 6th, 2015, Reuters reported that a London hedge fund created a computer bot to read 100 million tweets a week and determine whether they had a positive or negative outlook on the world. If the overall sentiment was positive, the fund would buy stocks, if it was negative, it would bet on stocks going down.
The idea was terrible, and according to Fortune magazine, the fund crashed and burned within two years. The experiment begs a question. Is it possible to predict the markets?
Is market investing straight up luck, or is there skill involved? Today we’ll find out, in this episode of The Infographics Show – People who lost millions (or billions) in seconds. Almost everybody has a complicated relationship with cash. It’s the number 1 reason for divorce in the early stages of marriage, and the number 1 stress motivator for most people.
Money troubles can lead to mental health problems, such as depression, and physical problems, such as stress and heart conditions. Psychologists have identified several types of money disorders and behaviors, including Money Avoidance Disorders (under-spending and risk avoidance), Financial Denial (avoiding looking at the bank statement), Financial Rejection (feeling guilt when in receipt of money), Hoarding (hiding and accumulating money), and the self-explanatory Money-worshipping-Disorder. Those who suffer from the latter disorder often experience Financial Flashpoints, painful and distressing life events involving cash.
These often dramatic fiscal life events become the foundation of our financial struggles. And this is what we will be looking at today – people who have lost large sums of money in a very short space of time. Perhaps the most natural environment to observe folks who appear driven to lose all their cash is in the casino. Between 1992 and 1995, Archie Karas went on one of the longest winning streaks in gambling history when he turned $50 into a staggering $40 million playing high stakes poker. But Archie, in his race to fortune and fame, forgot the old adage about quitting while you’re ahead, and kept on playing, hungry to win it all, until he promptly lost it all in a matter of days.
He would go on to see millions disappear in minutes before his very eyes at the blackjack table. Not to be out done, Terry Watanabe fluttered the chunky sum of $205 million in under a year on the Las Vegas strip. He would often lose $5 million a day playing multiple $50,000 blackjack hands. One Australian gambler, Harry Kakavas, lost over $1.5 billion playing blackjack and baccarat.
He spent almost the entire amount at the Crown Casino on Australia’s Gold Coast. Kakavas subsequently took his favorite gambling venue to court, claiming the casino did not try to stop his reckless gambling. He lost the case in 2013, and was held entirely responsible for his own actions.
. If personal losses are heavy in the casino, how does the heavy, multi-faceted financial corporate world compare? Li Hejun, the chairman of Henergy Thin Power Film Group, found himself losing a hefty sum of $14 billion in 30 minutes, and he may have avoided it by simply showing up to a meeting. During the first quarter of 2015, Henergy was up 42% on the Hong Kong stock exchange, reaching a high of $40 billion.
Disaster struck on the 20th of May when, in 30 minutes, stock tumbled by 47%. Hejun, as CEO, was heavily committed to the stock, and lost at least 14 billion dollars during those final minutes before the exchange closed. Why did the stock crash? Nobody is quite sure, but some speculated that Hejun himself is responsible for not showing up at the annual shareholders meeting and thus sending out a negative vibe to new trading connections. If this was the case, Li Hejun surely must be kicking himself for not stepping into that particular meeting and sinking $14 billion into the hole. Joel Ifergan from Quebec narrowly missed out on a $2.4 million lottery jackpot because his winning ticket was printed out seven seconds too late.
About a week ago I finished reading Survivor by Chuck Palahniuk. I had previously read a few books by the author, including Rant and Lullaby. While unique, Survivor lacked the technique of Rant yet, in my opinion, was an improvement on Lullaby. If you’ve read anything by Chuck Palhinuik before, this book also has his unique and distinct style.
Plot (possibly spoilers)
In Survivor, Tender Branson, the product of the Creedish Cult District, must find a way to truly live. Since childhood he was brought up to serve the church district, only to have them all kill themselves in The Deliverance. He is [nearly] the last remaining member of the cult, and as a result he is thrust into stardom. He, using his friend's ability, predicts the future periodically to the world. The entire story is recounted by Tender Branson as he is 20,000 feet in the air in a hijacked airplane.
In general, I liked Survivor, though it wasn’t as fast-paced as I would have liked. However, rarely are Palhinuik’s books fast-paced. He instead focuses on technique, which he does quite well. I would recommend this book to anyone if you’re looking for something new or something unique.
Most readers nowadays use Amazon Kindle ebooks instead of printed. The product is wireless and allows you to access Amazon’s ebook store wirelessly. It also allows you to purchase books from there store, which holds more than 88,000. Unfortunately, the product can only hold about 200 titles.
Firstly, the reason I don’t think this product will be successfully – or any similar future product, for that matter – is because of the nature of it. I just don’t see typical readers buying a product to read their books on. There is something unique about reading a book, holding it and turning the pages. Carrying a screen around won’t change that. Secondly, it’s monstrously overpriced. The asking price for this product is $400. I can’t see anyone other than the rich or the foolish purchasing this product.
The second issue I have with this product is simply the look. The design is horrible; it looks like a low-end product from the 90s. The awkward keypad and bulky, uncreative design put a damper on a good concept. I’m sure amazon will keep trying, but for now I think this product is anything but revolutionary (as Amazon claims it is).
Recently i finished Freedomnomics by John Lott Jr. Freedomnomics is a book about various economics situations. The subtitle of the book is “Why the Free Market Works and Other Half-Baked Theories Don’t.” This is basically the thesis of the book; Lott discusses why he thinks the American free market works and why various theories don’t. Freedomnomics is also a rebuttal to Freakonomics.
In this book, John Lott discusses oil and cheaper drugs, and how higher prices help the economic. His theory is that because people pay higher prices for products, oil, drugs, and so on when other’s are paying less, they cover the cost of research and development. through this, he explains how price discrimination is a good thing.
He also discusses how reputations keep businesses and politicians honest, and explains how abortion is not the real cause of decrease in crime, but that the death penalty, law enforcement, and concealed-carry laws are. He also touched on voting, voting fraud, and other political topics. For the most part he demonstrated these economic principals accurately and well, though I would still recommend you read by Freedomnomics and Freakonomics to get an objective picture. The one thing that Lott doesn’t really cover is Freakonomics, which it theoretically is a rebuttal to. It discusses the book and it’s topics, but not extensively as one would assume.
Overall, Freedomnomics was an enjoyable economical book that I’d recommend to anyone and everyone.