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LOT-987 | Administering IBM Lotus Connections 2.5

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LOT-987 - Administering IBM Lotus Connections 2.5 - braindump

Vendor IBM
Exam Number LOT-987
Exam Name Administering IBM Lotus Connections 2.5
Questions 180 Q & A
Recent Update March 12, 2019
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LOT-987 exam Dumps Source : Administering IBM Lotus Connections 2.5

Test Code : LOT-987
Test Name : Administering IBM Lotus Connections 2.5
Vendor Name : IBM
Q&A : 180 Real Questions

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IBM Administering IBM Lotus Connections

IBM receives Social with Consultations and different evaluation equipment | killexams.com Real Questions and Pass4sure dumps

As introduced by using IBM today, it's introducing Lotus Connections 3.0 – the primary social community platform with advanced analytics ability – and social networking consultation services, pushing commercial enterprise to the next stage of collaboration and connectivity.

“To aid companies transform into social groups, IBM today is unveiling IBM Lotus Connections three.0, the first social networking platform with advanced analytics capabilities…IBM’s capabilities offerings will use IBM’s social collaboration platform to help shoppers in all industries achieve superior utilization of social application capabilities for actionable outcomes and return on funding.”

Lotus Connections three.0 presents advanced social analytics, significant connectivity and content material innovations, superior community building capabilities, prolonged cellular support, a cloud edition referred to as LotusLive Connections for superior enterprise collaboration and more. IBM’s social enterprise consultation services listing social enterprise method, assessment and implementation courses, readiness modeling, expertise construction and administration management.

because it looks, IBM has gone a protracted strategy to justify its popularity and expand its client base. The agency is truly pushing forward, and through introducing whatever thing no person else has it could just be capable of benefit a major part over the competition. It’s seemingly somebody else will get a hold of their personal edition of this platform and repair combo, nevertheless it’s a head start from which IBM may anchor its position as the leader within the field. superior, more potent and faster collaboration equal stronger productiveness – something loads of companies are inclined to put money into.

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IBM Counters Microsoft's utility Seat-stealing Boast | killexams.com Real Questions and Pass4sure dumps

IBM/Lotus Thursday hit back at Microsoft's boast that it plans to steal 5 million Notes valued clientele this 12 months with the aid of detailing a brand new 300,000-seat licensing take care of an Asian business and powerful hobby in Notes from rising markets.

last week, Microsoft's COO Kevin Turner informed fiscal analysts that his purpose is to have the business's messaging and collaboration application displace 5 million Notes seats this 12 months. Turner also said Microsoft has changed eight million seats of Notes in the past two years.

It turned into another shot in a messaging and collaboration struggle that has been occurring between both for almost twenty years. in the late 1990s, the two jousted the use of e mail seat-count numbers that were regularly inflated if not outright dubious.

"It is very tricky to tell what Microsoft is talking about after they discuss numbers of seats or charges as a result of they shove so a great deal into their atmosphere, however I do understand we have been attractive towards them and profitable," says Bob Picciano, everyday manager of Lotus application.

IBM/Lotus looks to be doing a far better job of integrating existing messaging and collaboration tools with subsequent-technology equipment like social networking.

In June at the business 2.0 conference, both squared off on stage round social software (Lotus Connections vs. SharePoint) with IBM/Lotus showing its Connections equipment as "the clear winner across the board," in keeping with Mike Gotta, an analyst with the Burton group who moderated the session. Gotta in his weblog later chastised Microsoft, announcing it "did a negative job of showing and explaining why business and/or technical determination-makers may still agree with SharePoint as a credible answer to satisfy the social computing wants of a company."

A month later Microsoft's Turner lit into IBM/Lotus, which is now on the offensive and detailing what it calls powerful fiscal 2d-quarter earnings of Notes/Domino eight. The platform, which shipped a 12 months in the past, facets a modular client structure that can also be personalized because the entrance conclusion for component-based mostly functions.

The business says an Asian enterprise, which executives observed would be named at a later date, will license 300,000 seats of Notes, in addition to Lotus Symphony, IBM's open source suite of productiveness applications.

IBM/Lotus says the deal is its biggest ever in Asia.

IBM additionally listed a couple of international corporations that chose Notes over Microsoft, including Max big apple life, Reliance Industries, Vedanta, and Aviva in India; GD development bank, Johnson electric, HKG Environ protect, CED, DL Cosco Shipyard in China; Affin bank and Trakando in Singapore; and Russian Railways in Russia.

It didn't give seat numbers.

IBM/Lotus additionally mentioned that in the fiscal 2d quarter it recorded its greatest customer win in North the united states: 150,000 seats in a "huge six" accounting enterprise.

just like the Asian deal, IBM would no longer identify the enterprise, but IBM executives observed Lotus Notes, Sametime, Connections, IBM Lotus Quickr and WebSphere Portal had been picked over the Microsoft collaboration portfolio that protected trade and SharePoint.

The fight is heating up as Microsoft's SharePoint is garnering the lion's share of insurance despite a few issues company users face when considering the platform.

IBM/Lotus has been feeling the heat from SharePoint.

In may also, the enterprise released IBM Lotus Quickr content material Integrator, which offers wizards and templates for moving content material in mass to Quickr from SharePoint websites. Lotus is betting the tool will support preserve users on its content administration platform and away from Microsoft, which could use SharePoint as the hook to get clients to change to its whole portfolio of messaging and collaboration equipment.

As a part of its most contemporary announcement IBM/Lotus mentioned other corporations which have currently picked Lotus Notes and different Lotus utility over different rivals, including Colgate-Palmolive, Ineos of Belgium, the U.S. Federal Aviation Administration, NutraFlo, Dutch Railways, Rohm Haas, Imerys and the Salvation military.

New Lotus Notes 8 shoppers were listed as CFE Compagnie d'organizations of France, Virginia Commonwealth university, Winsol foreign, the U.S. widespread capabilities Administration, the U.S. inner earnings carrier, common assurance, manhattan lifestyles, Kentucky Baptist convention, Verizon, Publishers Printing, Hyatt inns, Union Pacific and Nationwide coverage.


IBM increase in emerging Markets Fuels Lotus Momentum | killexams.com Real Questions and Pass4sure dumps

supply: IBM

July 31, 2008 10:54 ET

ARMONK, big apple--(Marketwire - July 31, 2008) - Led by using amazing revenue of IBM (NYSE: IBM) Lotus Notes and Domino 8 in the 2nd quarter of 2008, IBM's Lotus software enterprise outgrew Microsoft by means of profitable thousands and thousands of client seats global in direct competition with Microsoft, aided by key wins over its Redmond-based rival in emerging markets.

IBM's rising markets represented 18 percent of IBM's normal geographic profits within the 2d quarter of 2008, and together grew 21 p.c as pronounced. additionally, the Brazil, Russia, India and China subset grew 31 percent within the 2nd quarter, led via effective boom in India.

amongst these client wins turned into Lotus' largest Asian consumer engagement to date -- a major bank licensing 300,000 Lotus Notes seats as well as Lotus Symphony, IBM's free personal productiveness utility in keeping with the the OpenDocument format. Lotus Symphony has been downloaded by over 1.three million people and agencies, including rankings of Microsoft workplace valued clientele. clients that selected Lotus Notes and Domino over Microsoft in key markets blanketed Max new york existence, Reliance Industries, Vedanta, and Aviva in India; GD building bank, Johnson electric, HKG Environ offer protection to, CED, DL Cosco Shipyard in China; Affin financial institution and Trakando in Singapore; and Russian Railways in Russia.

"enterprise shoppers -- specifically many swiftly-growing agencies in emerging global markets -- are selecting Lotus software for its open, bendy design," said Bob Picciano widespread manager, Lotus utility. "These groups select open necessities over the constraints of legacy proprietary expertise for his or her long-time period collaboration investments."

The 2d quarter saw the biggest old client win for Lotus in North the usa as well. A member of the so-referred to as "massive six" accounting/consulting firms purchased more than a hundred and fifty,000 seats of the whole Lotus portfolio, deciding upon Lotus Notes, Lotus Sametime, Lotus Connections, IBM Lotus Quickr and WebSphere Portal over Microsoft change and SharePoint, amongst other items. different large corporations that selected Lotus Notes and different Lotus utility over Microsoft items protected a number of main banks in the U.S., the UK and Germany, as neatly because the Australian government.

different valued clientele who've these days invested in Lotus Notes and different Lotus application over the competition encompass buyer items colossal Colgate-Palmolive, chemical brand Ineos of Belgium, the U.S. Federal Aviation Administration, NutraFlo, Dutch Railways, Rohm Haas, Imerys and the Salvation army. particularly moving to Lotus Notes eight were CFE Compagnie d'corporations of France, Virginia Commonweath school, Winsol overseas, The U.S. familiar features Administration, the U.S. inner income carrier, common coverage, new york existence, Kentucky Baptist conference, Verizon, Publishers Printing, Hyatt motels, Union Pacific and Nationwide insurance.

Many clients of all sizes are questioning their investments in legacy Microsoft software items. Migrating to new versions of Microsoft exchange has confirmed to be a daunting and costly assignment. Ferris research these days published a record (change 2007 Implementation issues, December 2007) that indicated 70% of Microsoft consumers felt that migrating to alternate 2007 turned into both "tricky or Very elaborate."

huge businesses are involved with the possibility of upgrading to Microsoft's Vista operating device and persisted high percentage of IT charges dedicated to own computer systems amid difficult economic conditions. meanwhile, greater strategic IT investments that could spur proper-line income growth go unfunded and unrealized.

increasingly, each public and personal sector organizations are open options reminiscent of IBM Lotus Symphony and other options from OpenOffice.org. One such firm it really is making the swap to Lotus Symphony is the Anglican Church of Australia, which stated publicly that it will save an estimated AU$a hundred and fifty,000 a yr.

business analysts credit Lotus with a extra inventive, open portfolio that gives corporations freedom of option, lower IT fees, and extra insightful worker equipment. as an example, the industry's first commercial enterprise social networking product, IBM Lotus Connections, doubled its client base this 12 months after debuting because the fastest starting to be new IBM software product in 2007. at the fresh enterprise 2.0 convention in Boston, attendees witnessed an indication comparison pitting IBM Lotus Connections towards Microsoft SharePoint. Moderator Mike Gotta of the Burton community summed up the viewers's reaction in his blog, "Collaborative pondering." He wrote, "IBM turned into the clear winner across the board. possibly Microsoft underestimated IBM. And in some instances, determination-makers are more open to at the least considering that alternate solutions they may not have even entertained before (which would be first rate information for IBM and Jive in specific)."

IBM Lotus Sametime, IBM's platform for unified communications and collaboration, vaulted to over one hundred million individual licensed seats in the 2nd quarter with one-third of sales going to Microsoft customers. IBM WebSphere Portal application with web 2.0 know-how has received marketshare leadership for seven consecutive years by main research organisations, Gartner and IDC (see separate unlock nowadays). Lotus has also launched new items within the utility mashup, computer appliance, and application-as-a-provider classes.

With 15 consecutive quarters of salary boom, IBM's flagship Lotus Notes and Domino products has been transformed into a versatile device that consolidates the particular person's work world onto one monitor, employs net 2.0 applied sciences and reduces time spent on e mail. Lotus Notes and Domino adoption has grown to greater than 140 million licenses with positive factors across small-medium company, more than half of the greatest one hundred corporations on this planet, eighty percent of the good 10 international groups in banking, telecommunications, aerospace and protection, client items, electronics, coverage, and prescription drugs.

For greater tips, please consult with: www.ibm.com/lotus/notesdomino


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The Wired Guide to Your Personal Data (and Who Is Using It) | killexams.com real questions and Pass4sure dumps

On the internet, the personal data users give away for free is transformed into a precious commodity. The puppy photos people upload train machines to be smarter. The questions they ask Google uncover humanity’s deepest prejudices. And their location histories tell investors which stores attract the most shoppers. Even seemingly benign activities, like staying in and watching a movie, generate mountains of information, treasure to be scooped up later by businesses of all kinds.

Personal data is often compared to oil—it powers today’s most profitable corporations, just like fossil fuels energized those of the past. But the consumers it’s extracted from often know little about how much of their information is collected, who gets to look at it, and what it’s worth. Every day, hundreds of companies you may not even know exist gather facts about you, some more intimate than others. That information may then flow to academic researchers, hackers, law enforcement, and foreign nations—as well as plenty of companies trying to sell you stuff.

What Constitutes "Personal Data"?

The internet might seem like one big privacy nightmare, but don’t throw your smartphone out the window just yet. “Personal data” is a pretty vague umbrella term, and it helps to unpack exactly what it means. Health records, social security numbers, and banking details make up the most sensitive information stored online. Social media posts, location data, and search-engine queries may also be revealing but are also typically monetized in a way that, say, your credit card number is not. Other kinds of data collection fall into separate categories—ones that may surprise you. Did you know some companies are analyzing the unique way you tap and fumble with your smartphone?

All this information is collected on a wide spectrum of consent: Sometimes the data is forked over knowingly, while in other scenarios users might not understand they’re giving up anything at all. Often, it’s clear something is being collected, but the specifics are hidden from view or buried in hard-to-parse terms-of-service agreements.

Consider what happens when someone sends a vial of saliva to 23andme. The person knows they’re sharing their DNA with a genomics company, but they may not realize it will be resold to pharmaceutical firms. Many apps use your location to serve up custom advertisements, but they don’t necessarily make it clear that a hedge fund may also buy that location data to analyze which retail stores you frequent. Anyone who has witnessed the same shoe advertisement follow them around the web knows they’re being tracked, but fewer people likely understand that companies may be recording not just their clicks but also the exact movements of their mouse.

In each of these scenarios, the user received something in return for allowing a corporation to monetize their data. They got to learn about their genetic ancestry, use a mobile app, or browse the latest footwear trends from the comfort of their computer. This is the same sort of bargain Facebook and Google offer. Their core products, including Instagram, Messenger, Gmail, and Google Maps, don’t cost money. You pay with your personal data, which is used to target you with ads.

Who Buys, Sells, and Barters My Personal Data?

The trade-off between the data you give and the services you get may or may not be worth it, but another breed of business amasses, analyzes, and sells your information without giving you anything at all: data brokers. These firms compile info from publicly available sources like property records, marriage licenses, and court cases. They may also gather your medical records, browsing history, social media connections, and online purchases. Depending on where you live, data brokers might even purchase your information from the Department of Motor Vehicles. Don’t have a driver’s license? Retail stores sell info to data brokers, too.

The information data brokers collect may be inaccurate or out of date. Still, it can be incredibly valuable to corporations, marketers, investors, and individuals. In fact, American companies alone are estimated to have spent over $19 billion in 2018 acquiring and analyzing consumer data, according to the Interactive Advertising Bureau.

Data brokers are also valuable resources for abusers and stalkers. Doxing, the practice of publicly releasing someone’s personal information without their consent, is often made possible because of data brokers. While you can delete your Facebook account relatively easily, getting these firms to remove your information is time-consuming, complicated, and sometimes impossible. In fact, the process is so burdensome that you can pay a service to do it on your behalf.

Amassing and selling your data like this is perfectly legal. While some states, including California and Vermont, have recently moved to put more restrictions on data brokers, they remain largely unregulated. The Fair Credit Reporting Act dictates how information collected for credit, employment, and insurance reasons may be used, but some data brokers have been caught skirting the law. In 2012 the “person lookup” site Spokeo settled with the FTC for $800,000 over charges that it violated the FCRA by advertising its products for purposes like job background checks. And data brokers that market themselves as being more akin to digital phone books don’t have to abide by the regulation in the first place.

There are also few laws governing how social media companies may collect data about their users. In the United States, no modern federal privacy regulation exists, and the government can even legally request digital data held by companies without a warrant in many circumstances (though the Supreme Court recently expanded Fourth Amendment protections to a narrow type of location data).

The good news is, the information you share online does contribute to the global store of useful knowledge: Researchers from a number of academic disciplines study social media posts and other user-generated data to learn more about humanity. In his book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are, Seth Stephens-Davidowitz argues there are many scenarios where humans are more honest with sites like Google than they are on traditional surveys. For example, he says, fewer than 20 percent of people admit they watch porn, but there are more Google searches for “porn” than “weather.”

Personal data is also used by artificial intelligence researchers to train their automated programs. Every day, users around the globe upload billions of photos, videos, text posts, and audio clips to sites like YouTube, Facebook, Instagram, and Twitter. That media is then fed to machine learning algorithms, so they can learn to “see” what’s in a photograph or automatically determine whether a post violates Facebook’s hate-speech policy. Your selfies are literally making the robots smarter. Congratulations.

The History of Personal Data Collection

Humans have used technological devices to collect and process data about the world for thousands of years. Greek scientists developed the “first computer,” a complex gear system called the Antikythera mechanism, to trace astrological patterns as far back as 150 BC. Two millennia later, in the late 1880s, Herman Hollerith invented the tabulating machine, a punch card device that helped process data from the 1890 United States Census. Hollerith created a company to market his invention that later merged into what is now IBM.

By the 1960s, the US government was using powerful mainframe computers to store and process an enormous amount of data on nearly every American. Corporations also used the machines to analyze sensitive information including consumer purchasing habits. There were no laws dictating what kind of data they could collect. Worries over supercharged surveillance soon emerged, especially after the publication of Vance Packard’s 1964 book, The Naked Society, which argued that technological change was causing the unprecedented erosion of privacy.

The Trackers Tracking You

Online trackers can be divided into two main categories: same-site and cross-site. The former are mostly benign, while the latter are more invasive. A quick taxonomy:

  • Traditional CookiesFacebook, Google, and other companies use these extremely popular cross-site trackers to follow users from website to website. They work by depositing a piece of code into the browser, which users then unwittingly carry with them as they surf the web.

  • Super CookiesSupercharged cookies can be difficult or impossible to clear from your browser. They were most famously used by Verizon, which had to pay a $1.35 million fine to the FCC as a result of the practice.

  • FingerprintersThese cross-site trackers follow users by creating a unique profile of their device. They collect things like the person’s IP address, their screen resolution, and what type of computer they have.

  • Identity trackersInstead of using a cookie, these rare trackers follow people using personally identifiable information, such as their email address. They collect this data by hiding on login pages where people enter their credentials.

  • Session cookiesSome trackers are good! These helpful same-site scripts keep you logged in to websites and remember what’s in your shopping cart—often even if you close your browser window.

  • Session replay scriptsSome same-site scripts can be incredibly invasive. These record everything you do on a website, such as which products you clicked on and sometimes even the password you entered.

  • The next year, President Lyndon Johnson’s administration proposed merging hundreds of federal databases into one centralized National Data Bank. Congress, concerned about possible surveillance, pushed back and organized a Special Subcommittee on the Invasion of Privacy. Lawmakers worried the data bank, which would “pool statistics on millions of Americans,” could “possibly violate their secret lives,” The New York Times reported at the time. The project was never realized. Instead, Congress passed a series of laws governing the use of personal data, including the Fair Credit Reporting Act in 1970 and the Privacy Act in 1974. The regulations mandated transparency but did nothing to prevent the government and corporations from collecting information in the first place, argues technology historian Margaret O’Mara.

    Toward the end of the 1960s, some scholars, including MIT political scientist Ithiel de Sola Pool, predicted that new computer technologies would continue to facilitate even more invasive personal data collection. The reality they envisioned began to take shape in the mid-1990s, when many Americans started using the internet. By the time most everyone was online, though, one of the first privacy battles over digital data brokers had already been fought: In 1990, Lotus Corporation and the credit bureau Equifax teamed up to create Lotus MarketPlace: Households, a CD-ROM marketing product that was advertised to contain names, income ranges, addresses, and other information about more than 120 million Americans. It quickly caused an uproar among privacy advocates on digital forums like Usenet; over 30,000 people contacted Lotus to opt out of the database. It was ultimately canceled before it was even released. But the scandal didn’t stop other companies from creating massive data sets of consumer information in the future.

    Several years later, ads began permeating the web. In the beginning, online advertising remained largely anonymous. While you may have seen ads for skiing if you looked up winter sports, websites couldn’t connect you to your real identity. (HotWired.com, the online version of WIRED, was the first website to run a banner ad in 1994, as part of a campaign for AT&T.) Then, in 1999, digital ad giant DoubleClick ignited a privacy scandal when it tried to de-anonymize its ads by merging with the enormous data broker Abacus Direct.

    Privacy groups argued that DoubleClick could have used personal information collected by the data broker to target ads based on people’s real names. They petitioned the Federal Trade Commission, arguing that the practice would amount to unlawful tracking. As a result, DoubleClick sold the firm at a loss in 2006, and the Network Advertising Initiative was created, a trade group that developed standards for online advertising, including requiring companies to notify users when their personal data is being collected.

    But privacy advocates’ concerns eventually came true. In 2008, Google officially acquired DoubleClick, and in 2016 it revised its privacy policy to permit personally-identifiable web tracking. Before then, Google kept its DoubleClick browsing data separate from personal information it collected from services like Gmail. Today, Google and Facebook can target ads based on your name—exactly what people feared DoubleClick would do two decades ago. And that’s not all: Because most people carry tracking devices in their pockets in the form of smartphones, these companies, and many others, can also follow us wherever we go.

    The Future of Personal Data Collection

    Personal information is currently collected primarily through screens, when people use computers and smartphones. The coming years will bring the widespread adoption of new data-guzzling devices, like smart speakers, censor-embedded clothing, and wearable health monitors. Even those who refrain from using these devices will likely have their data gathered, by things like facial recognition-enabled surveillance cameras installed on street corners. In many ways, this future has already begun: Taylor Swift fans have had their face data collected, and Amazon Echos are listening in on millions of homes.

    We haven’t decided, though, how to navigate this new data-filled reality. Should colleges be permitted to digitally track their teenage applicants? Do we really want health insurance companies monitoring our Instagram posts? Governments, artists, academics, and citizens will think about these questions and plenty more.

    And as scientists push the boundaries of what’s possible with artificial intelligence, we will also need to learn to make sense of personal data that isn’t even real, at least in that it didn’t come from humans. For example, algorithms are already generating “fake” data for other algorithms to train on. So-called deepfake technology allows propagandists and hoaxers to leverage social media photos to make videos depicting events that never happened. AI can now create millions of synthetic faces that don’t belong to anyone, altering the meaning of stolen identity. This fraudulent data could further distort social media and other parts of the internet. Imagine trying to discern whether a Tinder match or the person you followed on Instagram actually exists.

    Whether data is fabricated by computers or created by real people, one of the biggest concerns will be how it is analyzed. It matters not just what information is collected but also what inferences and predictions are made based upon it. Personal data is used by algorithms to make incredibly important decisions, like whether someone should maintain their health care benefits, or be released on bail. Those decisions can easily be biased, and researchers and companies like Google are now working to make algorithms more transparent and fair.

    Tech companies are also beginning to acknowledge that personal data collection needs to be regulated. Microsoft has called for the federal regulation of facial recognition, while Apple CEO Tim Cook has argued that the FTC should step in and create a clearinghouse where all data brokers need to register. But not all of Big Tech’s declarations may be in good faith. In the summer of 2018, California passed a strict privacy law that will go into effect on January 1, 2020, unless a federal law supersedes it. Companies like Amazon, Apple, Facebook, and Google are now pushing for Congress to pass new, less stringent privacy legislation in 2019 before the California law kicks in. Even in a divided Congress, lawmakers could come together around privacy—scrutinizing Big Tech has become an important issue for both sides.

    Some companies and researchers argue it’s not enough for the government to simply protect personal data; consumers need to own their information and be compensated when it’s used. Social networks like Minds and Steemit have experimented with rewarding users with cryptocurrency when they share content or spend time using their platforms. Other companies will pay you in exchange for sharing data—your banking transactions, for instance—with them. But allowing people to take back ownership likely wouldn’t solve every privacy issue posed by personal data collection. It might also be the wrong way to frame the issue: Instead, perhaps, less collection should be permitted in the first place, forcing companies to move away from the targeted-advertising business model altogether.

    Before we can figure out the future of personal data collection, we need to learn more about its present. The cascade of privacy scandals that have come to light in recent years—from Cambridge Analytica to Google’s shady location tracking practices—have demonstrated that users still don’t know all the ways their information is being sold, traded, and shared. Until consumers actually understand the ecosystem they’ve unwittingly become a part of, we won’t be able to grapple with it in the first place.

    Learn More
  • The Privacy Battle to Save Google From ItselfGoogle’s sprawling privacy apparatus includes thousands of employees and billions of dollars in cumulative investment. But the company is still an advertising behemoth and fundamentally makes money by monetizing the personal data it collects from users. Yet Google has also played a leadership role in creating industry standards for transparency and data protection. More than a dozen privacy employees at Google spoke to WIRED about how they make sense of the paradox of their work, insisting that there’s no internal pressure to compromise privacy protections to make a larger profit.

  • Few Rules Govern Police Use of Facial-Recognition TechnologyOne of the most sensitive pieces of personal data you possess isn’t hidden at all: It’s your face. The issue has become contentious for civil rights activists, and Amazon in particular has faced backlash—even from its own employees—over use of the technology, especially for law enforcement purposes. With the exception of two states however, few laws regulating the use of facial recognition exist.

  • Carriers Swore They'd Stop Selling Location Data. Will They Ever?In 2018, US phone carriers promised to stop selling customer location data after journalists discovered it had ended up in the hands of questionable third parties. Not even a year later, the same carriers were caught doing it again. The question now is how the Federal Communications Commission will handle the issue. The agency has the authority to make it illegal for carriers to sell this kind of information, but so far it hasn’t said whether the law should apply to location data. In the meantime, consumers are left to take Verizon, Sprint, T-Mobile, and AT&T’s promises at face value.

  • I Sold My Data for Crypto. Here's How Much I MadeA new wave of companies is peddling an alluring message: Users should own their own data and get a cut of its value, instead of allowing it to be monetized by advertising companies and data brokers for free. Sign up for one of these apps and the buyers will contact you directly, offering cryptocurrency tokens in exchange for information like your bank transactions, medical history, or the fluctuations of your smart thermostat.

  • Get Ready for a Privacy Law Showdown in 2019Companies like Amazon, Apple, Facebook, and Google are pushing hard for federal digital privacy legislation in 2019, and not quite out of the goodness of their hearts. Last summer, California’s state legislature passed a groundbreaking privacy bill that is set to go into effect on January 1, 2020. Tech giants are now racing to supersede the law with more industry-friendly federal legislation. Even though Congress is divided politically, it looks like a deal could be reached. Reigning in Big Tech has become a bipartisan issue.

  • Your Smartphone Choice Could Determine Whether You Get a LoanIn Europe, some lenders are using passive signals, like what kind of phone you have, to determine whether you should qualify for a loan. Research from the National Bureau of Economic Research suggests those indicators can predict consumer behavior as accurately as traditional credit scores. But these factors aren’t necessarily ones consumers are aware of or know to change.

  • The Wired Guide to Data BreachesThere’s no such thing as perfect security, and it’s impossible to safeguard against every potential data breach. But how worried should users be when they find out their personal information was leaked or stolen? To answer that question, it helps to know a little about the history of data breaches. Armed with context, consumers can determine whether they need to take extra precautions after a security incident happens.

  • What Does a Fair Algorithm Actually Look Like?Lawmakers largely haven’t decided what rights citizens should have when it comes to transparency in algorithmic decision-making. There isn’t a “right to explanation” for how a machine came to a conclusion about your life. Some researchers are conceptualizing what such a right should might look like in the future.

  • Thanks to Ghostery, Mozilla, the Electronic Frontier Foundation, and Seth Stephens-Davidowitz for their help in creating this guide.

    Last updated February 13, 2019.

    Enjoyed this deep dive? Check out more WIRED Guides.


    IBM Buffs Workplace and WebSphere Portal | killexams.com real questions and Pass4sure dumps

    News

    IBM Buffs Workplace and WebSphere Portal IBM this week announced new and updated products in its Workplace family of collaboration products, including 19 role-based integrated applications for medium and small business customers. The company also said it will provide ad hoc Web conferencing as a service for customers beginning in December.

    The solutions provide customizable business functions for specific industries or categories of business tasks and operations – all built using IBM Workplace products and selected third-party applications.

    Though perhaps a cliché by now, IBM officials also continued to emphasize the differences between a “network-delivered” collaboration environment and one based primarily on personal computers – notably Microsoft’s view. “[With Workplace Solutions] you do not have to have Microsoft Office,” says Larry Bowden, vice president, of IBM Workplace Software Solutions.

    IBM designed the solutions by studying the job roles required for performing typical sets of tasks or operations within a set of vertical markets. At the same time, it considered how to implement horizontal business roles within typical companies’ IT environments, including procurement, finance and administration, customer service, and human resources. The new Workplace Solutions provide integrated application sets that meet at that nexus; for instance, systems to provide branch banking or retail store management functions.

    “They’ve taken lessons out of IBM’s services group and . . . they have designed these packages to make those people with the key business roles more effective,” says Robert Mahowald, research manager at IDC. That should, the reasoning goes, make those businesses that adopt those solutions more successful.

    Because the solutions and IBM Workplace products support industry standards, including Java and XML, other products can be integrated with other systems as well. IBM Workplace includes Lotus Workplace, WebSphere Portal, Lotus Notes and Domino, and WebSphere Everyplace, according to the company’s Web site.

    “Our focus is on organizational productivity,” says Bowden, adding, “Having a competitive edge is not as good as having a sustainable competitive edge.”

    In fact, implementing entire integrated systems based on the functions that a business needs to perform as well as the roles of the people who perform the necessary tasks, and providing that to customers in a solution package that is the next best thing – or so IBM officials hope – to a turnkey solution, provides that sustainable edge, company executives submit.

    The solutions don’t do everything. Implementation details remain but IBM’s intent is to take part of the pain out of the process for small and medium-sized businesses that don’t have a division dedicated to providing IT. “Why don’t we get you 70 percent of the way?” asks Bowden rhetorically.

    In one of IBM’s demonstration scenarios, a bank branch teller receives a large check and needs to obtain the approval of a customer service person, and also needs to clear the deposit for regulatory compliance and auditing. The branch banking solution provides job roles for three different employee task sets to fulfill the required business functions. Indeed, the new Workplace Solutions encompass more than 30 job functions or employee roles, company spokespeople said.

    Among the areas where IBM is offering new Workplace Solutions are: retail, electronics, manufacturing, finance, telecommunications, government, life sciences, healthcare and automotive businesses. Additionally, the company has updated its Branch Banking solution as well as its Business Controls and Reporting solution (now at version 2.5).

    Fundamentally, however, IBM is taking a slightly different tack on coopetition. To companies like Oracle, SAP and PeopleSoft, “They’re saying, ‘we’re going to provide the plumbing for you,’” says IDC’s Mahowald, leaving part of the pie for other players.

    IBM will also begin offering on demand Web conferencing next month, officials said. “If you have a browser and a telephone, you can set up a Web conference,” Bowden says. “Instead of buying the software from us, you can just buy the service.” This comes as a direct attempt to take business away from Microsoft’s Live Meeting, says Mahowald.

    In addition, IBM also announced a new product in the Workplace family. IBM Workplace Services Express v2.0 is a brand new product designed for small and mid-sized organizations and departments in large enterprises. It includes team collaboration, document management, web forms, task lists, and portal services as well user customization features. IBM Workplace Services Express also integrates with the user's existing applications and data, as well as e-mail, calendar and address book, and provides a range of collaboration tools including integrated instant messaging. It will ship in December, officials said.

    Finally, IBM debuted the latest release of WebSphere Portal – version 5.1 – which adds virtual portals, business process workflow features, and improved content management capabilities. Version 5.1 will be available by the end of November.

    The company will announce pricing for all the products and services when the products are available, company officials said.

    About the Author

    Stuart J. Johnston has covered technology, especially Microsoft, since February 1988 for InfoWorld, Computerworld, Information Week, and PC World, as well as for Enterprise Developer, XML & Web Services, and .NET magazines.


    IBM delivers a piece of its brain-inspired supercomputer to Livermore national lab | killexams.com real questions and Pass4sure dumps

    IBM is about to deliver the foundation of a brain-inspired supercomputer to Lawrence Livermore National Laboratory, one of the federal government’s top research institutions. The delivery is one small “blade” within a server rack with 16 chips, dubbed TrueNorth, and is modeled after the way the human brain functions.

    Silicon Valley is awash in optimism about artificial intelligence, largely based on the progress that deep learning neural networks are making in solving big problems. Companies from Google to Nvidia are hoping they’ll provide the AI smarts for self-driving cars and other tough problems. It is within this environment that IBM has been pursuing solutions in brain-inspired supercomputers. The main benefit is that such chips may be able to operate at lower frequencies and get much more work done on a much smaller amount of power.

    The TrueNorth chip itself has more than 5.4 billion transistors, about as many as a state-of-the-art conventional silicon chip today. But this chip’s transistors are configured as a million neurons, or the equivalent of brain cells, and 256 million synapses, or connections. It consumes only about 70 milliwatts of power, or the equivalent of a hearing-aid battery. That’s an order of magnitude better than other solutions, said Dharmendra S. Modha, an IBM fellow and chief scientist of brain-inspired computing at the IBM Almaden Research Center in San Jose, Calif., in an interview with VentureBeat. The Livermore project is an important test of a new computer architecture that could be used in everything from single-chip computers to systems with thousands of chips.

    “We can scale up enormously, from one chip in a mobile setting to some very large systems,” Modha said.

    This system has 16 IBM TrueNorth brain-inspired chips.

    Above: This system has 16 IBM TrueNorth brain-inspired chips.

    Image Credit: Dean Takahashi

    “Lawrence Livermore has commissioned a scale-up, brain-inspired supercomputer, and that’s what you’re looking at here,” Modha said. “Our long-term goal is to build a brain in a box, with 10 billion neurons in a 2-liter volume, consuming about a kilowatt of power. That’s the long-term trajectory we are on. ”

    The Livermore lab is working on a new generation of supercomputers that can perform at “exascale” speeds, or 50 times faster than the most advanced petaflop systems now in place. IBM’s believes a brain-based computer could operate on significantly less electrical power and volume.

    Back in 2011, when I got my first look at IBM’s prototype “brain chip,” the company had a prototype with one core and 256 neurons. Now, each chip has 1 million neurons, 256 cores, and 256 million synapses. It operates on 70 milliwatts of power. It can deliver 46 giga synaptic operations per second.

    Each TrueNorth chip is part of a 16-chip system board that is housed in a server blade. That is what IBM is delivering to Lawrence Livermore. And that board has the ability of 16 million neurons, 4,096 cores, and 4 billion synapses. The 16 chips operate on 2.5 watts of power, while the whole board consumes about 7 watts. Eventually, IBM will populate an entire rack with a bunch of these server boards, and provide a bunch of racks to its customers who want to build scale-out supercomputers. IBM is currently working under a $1 million contract with Livermore. Presumably, if it all goes forward, much more money will be at stake.

    “The beauty of the TrueNorth chips is that you can put one in and it just starts communicating” with the chips around it, Modha said. “It does this without a need for any communication interface. We can just scale it up.”

    IBM has demonstrated this in the 16-chip computer blade that it is delivering to Livermore, Modha said. IBM’s industrial design team created a fancy enclosure to house it — and so it looks more “iconic,” like something out of science fiction, rather than a typical piece of computer hardware, said Bill Risk, senior software engineer at IBM.

    IBM

    Above: Dharmendra Modha, IBM fellow and chief scientist of brain-inspired computer research at the IBM Almaden Research Center.

    The chips can operate a brain-like neural network to handle complex cognitive tasks — such as pattern recognition and integrated sensory processing — far more efficiently than conventional chips. And that means a computer in a self-driving car could tap a data center with TrueNorth chips to analyze all of the pedestrians, cars, bicycles and other objects in an environment around a self-driving car.

    Lawrence Livermore will likely use the system to test nuclear weapons without setting them off. The  new computing capabilities may prove important to the National Nuclear Security Administration’s (NNSA) missions in cyber security, stewardship of the nation’s nuclear deterrent and non-proliferation. NNSA’s Advanced Simulation and Computing (ASC) program will evaluate machine learning applications, as well as deep learning algorithms and architectures, and conduct general computing feasibility studies.

    The technology represents a fundamental departure from the 70-year-old computer design popularized by computer architect John von Neumann. In von Neumann machines, memory and processor are separated and linked via a data pathway known as a bus. Over the years, von Neumann machines have gotten faster by sending more and more data at higher speeds across the bus as processor and memory interact. But the speed of a computer is often limited by the capacity of that bus, leading to what some computer scientists to call the “von Neumann bottleneck.”

    With the human brain, the memory is located in the same place as the processor — at least, that’s how it appears, based on our current understanding of how the brain works. The brain-like processors with integrated memory don’t operate quickly by traditional measurements, sending data at a mere 10 hertz, or far slower than the 5 gigahertz computer processors of today. But the human brain does an awful lot of work in parallel, sending signals out in all directions and getting the brain’s neurons to work simultaneously. Because of this, the brain’s more than 10 billion neurons and 10 trillion connections (synapses) between those neurons amounts to an enormous amount of computing power.

    IBM’s older Blue Gene supercomputer, a traditional von Neumann machine, had 1.5 million processors, but it ran 1,500 times slower than real time, in comparison to the human brain. A hypothetical supercomputer using the von Neumann design would have consumed 12 gigawatts of power to accomplish what the brain can do. That’s as much power as is consumed by the island of Singapore, Modha said.

    IBM TrueNorth chip has a million neurons.

    Above: IBM TrueNorth chip has a million neurons.

    Image Credit: Dean Takahashi

    IBM is emulating the brain’s architecture with its new TrueNorth chips, which were originally developed under the auspices of the Defense Advanced Research Projects Agency (DARPA) and Cornell University.

    This new computing unit, or core, is analogous to the brain. It has “neurons,” or digital processors that compute information. It has “synapses,” which are the foundation of learning and memory. And it has “axons,” or data pathways that connect the tissue of the computer.

    The work combines supercomputing, nanotechnology, and neuroscience in an effort to move beyond calculation to perception. About 35 people within IBM Research across three company sites and multiple countries are working on the IBM brain-inspired project, Modha said. To create the full ecosystem around TrueNorth, IBM has had to create a simulator; a programming language; an integrated programming environment; a library of algorithms, as well as applications; firmware; tools for composing neural networks for deep learning; a teaching curriculum; and cloud enablement.

    Brian Van Essen, a computer scientist at Lawrence Livermore National Laboratory’s Center for Applied Scientific Computing, said in an interview with VentureBeat that the collaboration with IBM started in the fall of 2014.

    The TrueNorth chip can be used with neural networks that recognize objects such as brands.

    Above: The TrueNorth chip can be used with neural networks that recognize objects such as brands.

    Image Credit: Dean Takahashi

    “We are looking beyond von Neumann processors as we scale toward exascale,” he said. “We are very excited about the very low-power aspects of TrueNorth. It’s an order of magnitude difference in energy usage.”

    Van Essen said he is excited about the AI community’s excitement around deep learning and neural networks.

    “We are looking at how we can apply it with TrueNorth,” he said.

    He said that TrueNorth’s ability to discern patterns and run large-scale simulations is very promising.

    “This is by no means the only approach that is being done in the community to mimic biology,” he said. “It is still balancing digital logic design with inspirations from the brain. It is mimicking behavior, but it is not slavishly copying the brain. That approach allows IBM to create a chip that takes advantage of advanced semiconductor design techniques.”

    IBM's TrueNorth chips can discern the difference between pedestrians and other objects.

    Above: IBM’s TrueNorth chips can discern the difference between pedestrians and other objects.

    Image Credit: Dean Takahahsi



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