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000-220 IBM Sterling Connect Direct Administration

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000-220 exam Dumps Source : IBM Sterling Connect Direct Administration

Test Code : 000-220
Test Name : IBM Sterling Connect Direct Administration
Vendor Name : IBM
Q&A : 120 Real Questions

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IBM IBM Sterling Connect Direct

Direct Connectivity to IBM Cloud now purchasable with Ascenty's Cloud connect | killexams.com Real Questions and Pass4sure dumps

IBM Cloud Direct link is designed to allow the comfy trade of sensitive facts between the IBM Cloud and private environments

SAN FRANCISCO, Feb. 13, 2019 /PRNewswire/ -- Digital Realty (DLR), a number one international company of information center, colocation and interconnection options, and Ascenty, a market leader in records core functions in Latin the united states, introduced these days that Ascenty has added dedicated and personal entry without delay to the IBM Cloud in its connectivity portfolio via IBM Cloud Direct link.  This new carrier is designed to be sure network availability, protection and scalability between the IBM Cloud and personal statistics core environments.  

With the new provider, Ascenty now presents physical and direct connections to the IBM Cloud inside its interconnection platform, along with the means to connect with different public clouds via Ascenty Cloud connect.  This collaboration creates a personal and relaxed community for companies to access their information and applications on the cloud.  The platform provides excessive-velocity connection alternate options ranging from 1 to 10 Gbps, tailor-made to each business's specific wants, moreover very low latencies.  This translates to sophisticated performance, stronger handle and greater flexibility and scalability when gaining access to vital capabilities and records. 

in keeping with Marcos Siqueira, Ascenty's carrier Director, here's a cozy and high-performance choice for groups working in hybrid environments: "With IBM Cloud Direct hyperlink, in addition to connecting consumers already hosted in our statistics centers, we are able to additionally join different physical or cloud environments via our committed fiber optic network.  numerous consumers already operate in hybrid and multi-cloud environments, and our solutions are designed to fulfill this demand." 

"As corporations enter the subsequent phase of the cloud event, adopting a hybrid cloud approach can support generate new enterprise value and optimize techniques," stated Gabriel Montanti, global providing government, IBM Cloud.  "IBM is collaborating with Ascenty during the transforming into IBM Cloud Direct hyperlink carrier issuer program to aid agencies reliably circulation their statistics with security between the cloud and on-premise environments." 

offering excessive-speeds and availability, Ascenty offers new alternate options to meet corporate connectivity necessities.  Ascenty's dedicated 4,500-kilometer fiber optic community connects the entire company's gadgets, determined in foremost cities within the Brazilian states of São Paulo and Rio de Janeiro, in addition to Fortaleza, to primary cloud service providers, constructing a wide-ranging and comfy interconnection platform.  

With the fresh addition of Ascenty to its international portfolio, Digital Realty continues to extend its guide of IBM Cloud Direct hyperlink and the IBM Cloud to 5 continents, 21 world metro areas, and 29+ records centers.  This further extension of Direct link dedicated, Direct hyperlink committed hosting, and Direct hyperlink connect capabilities allows Digital Realty business purchasers to join and expand globally with the IBM Cloud where and the way their digital enterprise demands. 

IBM Cloud Direct link is designed to be sure the secure change of delicate records between the IBM Cloud and different environments.  With IBM Cloud Direct link, organizations can benefit from high performing and comfy connectivity to the IBM Cloud to guide their hybrid method and provide entry to features together with compute, network and storage infrastructure as well as AI, Blockchain, cyber web of things (IoT), data and analytics capabilities. 

About Digital RealtyDigital Realty helps the facts center, colocation and interconnection ideas of greater than 2,300 corporations throughout its at ease, community-prosperous portfolio of information centers observed right through North the us, Europe, Latin the usa, Asia and Australia.  Digital Realty's valued clientele encompass domestic and overseas organizations of all sizes, starting from cloud and tips expertise services, communications and social networking to financial functions, manufacturing, energy, healthcare and customer products.  www.digitalrealty.com

About AscentyAscenty, a Digital Realty company, is Latin the us's greatest records center company with sixteen information facilities currently in operation or below development.  The business turned into situated in 2010 and focuses on constructing and operating world-type facts facilities, serving some of the world's largest know-how agencies.  The enterprise's information facilities are linked via approximately four,500 kilometers of proprietary fiber-optic network. www.ascenty.com

Story continues

comply with Ascenty on social media:  LinkedIn, Twitter, fb and YouTube

For additional InformationAndrew P. PowerChief fiscal OfficerDigital Realty(415) 738-6500

Investor RelationsJohn J. Stewart / Maria S. LukensDigital Realty(415) 738-6500investorrelations@digitalrealty.com

Ascenty – Press OfficeAdvice Comunicação CorporativaMaria Eduarda Amorim / mariaeduarda.amorim@advicecc.com Bruno Escudero / bruno.escudero@advicecc.com Ana Paula Sartori / anapaula.sartori@advicecc.com Fernanda Dabori / fernanda.dabori@advicecc.com +fifty five 11 5102-5252 / +55 11 5102-5257

secure Harbor StatementThis press free up consists of forward-searching statements that are in response to current expectations, forecasts and assumptions that involve risks and uncertainties that may cause actual outcomes and consequences to vary materially, including statements involving Ascenty, Ascenty Cloud join, IBM Cloud and IBM Cloud Direct hyperlink, and Direct link committed, Direct link committed hosting, and Direct hyperlink connect capabilities.  These dangers and uncertainties consist of, amongst others, right here: decreased demand for records centers or decreases in assistance know-how spending; reduced condominium costs, increased operating fees or multiplied vacancy costs; elevated competition or available supply of records core space; the suitability of our facts facilities and facts middle infrastructure, delays or disruptions in connectivity or availability of vigour, or screw ups or breaches of our actual and counsel safety infrastructure or capabilities; our dependence upon enormous shoppers, chapter or insolvency of an enormous consumer or a big variety of smaller customers, or defaults on or non-renewal of leases via purchasers; breaches of our duties or restrictions under our contracts with our clients; our lack of ability to efficiently enhance and lease new properties and development area, and delays or sudden expenses in building of houses; the have an impact on of present world and local financial, credit and market situations; our lack of ability to retain statistics middle area that we hire or sublease from third events; difficulty acquiring or operating homes in overseas jurisdictions; our failure to recognise the meant benefits from, or disruptions to our plans and operations or unknown or contingent liabilities regarding, our recent acquisitions; our failure to efficiently combine and operate bought or developed homes or groups; difficulties in making a choice on residences to acquire and finishing acquisitions; dangers involving joint venture investments, including because of our lack of manage of such investments; risks associated with the use of debt to fund our enterprise actions, together with re-financing and activity rate dangers, our failure to repay debt when due, adversarial adjustments in our credit score rankings or our breach of covenants or different terms contained in our loan facilities and agreements; our failure to achieve fundamental debt and fairness financing, and our dependence on external sources of capital; economic market fluctuations and adjustments in international foreign money alternate quotes; hostile financial or true estate developments in our business or the trade sectors that we promote to, together with risks relating to lowering actual estate valuations and impairment fees and goodwill and other intangible asset impairment charges; our inability to manipulate our boom readily; losses in excess of our assurance insurance; environmental liabilities and risks regarding herbal disasters; our lack of ability to comply with guidelines and laws relevant to our company; our failure to keep our popularity as a REIT for federal revenue tax functions; our working partnership's failure to qualify as a partnership for federal profits tax purposes; restrictions on our capacity to interact in certain enterprise actions; and changes in native, state, federal and foreign laws and regulations, together with related to taxation, actual property and zoning legal guidelines, and raises in actual property tax prices.  For a further checklist and outline of such risks and uncertainties, see the studies and other filings by means of the business with the U.S. Securities and change fee, including the business's Annual file on kind 10-ok for the yr ended December 31, 2017 and Quarterly reviews on kind 10-Q for the quarters ended March 31, 2018, June 30, 2018 and September 30, 2018.  The company disclaims any intention or obligation to replace or revise any ahead-searching statements, no matter if as a result of new counsel, future hobbies or in any other case. 

 

View customary content material:http://www.prnewswire.com/news-releases/direct-connectivity-to-ibm-cloud-now-attainable-with-ascentys-cloud-connect-300794762.html


IBM Cloud Direct hyperlink Now obtainable in CyrusOne records centers | killexams.com Real Questions and Pass4sure dumps

CyrusOne CONE, +0.44% a premier world information core REIT, these days introduced the provision of IBM Cloud Direct hyperlink within CyrusOne’s Carrollton, Texas facts center to help customers in the U.S. by the use of CyrusOne’s countrywide IX. IBM Cloud Direct hyperlink gives purchasers with a secured, dedicated community connection from their own IT infrastructure to theIBM Cloud.

“we are excited to welcome IBM Cloud into the CyrusOne ecosystem. IBM is a world leader in cloud services, and connecting to our countrywide IX provides a competitive expertise for valued clientele in Texas and across the us,” talked about John Gould, executive vice president and chief business officer, CyrusOne. “The Dallas Metro area has considered rapid boom in cloud services, and locating in our state-of-the-paintings Carrollton facility gives the bottom latency for shoppers in the Texas markets.”

“As groups enter the subsequent phase of the cloud adventure, it’s important to have an open, hybrid method to increase, run and set up applications throughout multicloud environments,” talked about Gabriel Montanti, global offering government, IBM Cloud. “The collaboration with CyrusOne is part of the expanding IBM Cloud Direct link carrier provider application, which provides organizations with dedicated private connectivity with low latency with a purpose to optimize their hybrid cloud method.”

CyrusOne national IX delivers interconnection across states and between metro-enabled websites within the CyrusOne facility footprint and past. The platform allows high-efficiency, comparatively cheap data transfer and accessibility for customers and unites CyrusOne facts facilities during the united states. With committed connectivity to the IBM Cloud, groups have a secured direction emigrate sensitive workloads and information to the cloud and take skills of next generation functions including AI, analytics, blockchain and more.

CyrusOne operates greater than 45data middle facilitiesacross the united states, Europe, and Asia to deliver shoppers with the flexibleness and scale to match their specific IT increase wants. CyrusOne amenities are engineered to include the vigour-density infrastructure required to bring excessive availability, including an architecture with the maximum availablepower redundancy.

For extra advice about CyrusOne, call 1-855-908-3662 or visitwww.cyrusone.com. join with us onGoogle Plus,LinkedIn,Twitter, andFacebook.

About CyrusOne

CyrusOne CONE, +0.forty four% is a high-increase true property funding have faith (REIT) that specialize in particularly professional business-class, provider-impartial information middle residences. The business provides mission-crucial statistics core amenities that protect and ensure the continued operation of IT infrastructure for approximately 1,000 shoppers, including more than 205 Fortune 1000 groups.

With a music list of assembly and surpassing the aggressive pace-to-market calls for of hyperscale cloud providers, as well as the expanding IT infrastructure requirements of the business,CyrusOne gives the flexibleness, reliability, protection, and connectivity that foster enterprise growth.CyrusOneoffersa tailor-made, client carrier-concentrated platform and is dedicated to full transparency in communique, administration, and service delivery all over its more than 45 facts facilities worldwide. additional info aboutCyrusOnecan be found atwww.CyrusOne.com.

View source edition on businesswire.com: https://www.businesswire.com/information/domestic/20190201005073/en/

supply: CyrusOne

David M. BaumCyrusOne@allisonpr.com(O) 646.428.0620

Copyright company Wire 2019


IBM’s Digital advertising Future includes fb Deal And records change | killexams.com Real Questions and Pass4sure dumps

jay henderson IBMIBM has big digital advertising goals. closing spring, these dreams warranted a $a hundred million dedication to future marketing investments.

Wednesday saw the latest development, when IBM hooked its own advertising and marketing solutions into a number of facebook ad products together with the CRM matching program custom Audiences to permit issues like lookalike modeling.

IBM is also increasing its Digital advertising and marketing community to create a customer facts change so that you can comprise demand-facet structures, information-administration structures and different social platform partners.

besides the fact that children IBM might also appear late to the party – fb launched customized Audiences in 2012 – Jay Henderson, director of method for IBM’s ExperienceOne neighborhood, reiterated IBM’s focal point on a cohesive marketing platform.

fb integrations are easily the latest addition to the ExperienceOne platform, launched closing year, that practically united IBM acquisitions like Silverpop, Tealeaf, Unica, Sterling Commerce and Xtify. IBM additionally factored in Coremetrics analytics to underpin an answer referred to as IBM experience Analytics.

Henderson spoke with AdExchanger.

AdExchanger: What’s riding the deal with facebook?

JAY HENDERSON: It’s a technical integration, so we’re [combining] our portfolio of advertising automation and customer analytics solutions, and segmentation that typically occurs for electronic mail focused on or web page personalization, with the fb advertising platform. fb hasn’t unfolded a distinct API for us, but somewhat we’re connecting our portfolio to the reach that facebook has. we can tap into fb customized Audiences as well as leverage the facebook Lookalike Modeling.

IBM stated it’s integrating experience Analytics with fb. what's adventure Analytics?

The theory was to create a tool that would be a clean whiteboard for entrepreneurs to attract out what they desire the conclusion-to-end customer event to seem like no matter if that be e mail and junk mail, facebook advertisements, television or out-of-domestic and then join those into the equipment which are doing the execution, whether that’s solutions from IBM or [other vendors].

Is there a knowledge management part?

The fb announcement is first in a whole sequence of issues we’ll be rolling out, however what’s underlying this is a client information alternate infrastructure that permits us to integrate fb once and fasten into all the different solutions in our portfolio. in preference to constructing point-to-factor integrations between each of our options to facebook, we integrate as soon as into the facts trade and then that integrates to facebook. The information trade may have an entire collection of partners, so search for some wonderful news from us next week.

is this an extension of IBM’s Digital advertising community?

We’re making that program even greater. That Digital advertising and marketing community became about integrating partners with our digital analytics platform – our heritage Coremetrics portfolio. subsequent week we’ll be extending that so those companions gained’t just join into Coremetrics, but can also connect into Silverpop, cloud advertising automation solutions, some of our different options like IBM campaign. We’ll even be … partnering with distinctive DSP and DMP suppliers, in addition to social partners like Shoutlet and Gigya. We’re connecting one of the average owned media channels into these paid media channels.

What’s riding this building?

lots of consumers have this portfolio of technologies. We’re now not attempting to force somebody into an all IBM stack. We wish to assist them collect the ecosystem of suppliers that allows you to best meet their needs, so this facts alternate is one key piece to that. Being able to design journeys throughout all of the applied sciences you may have and being capable of analyze these interactions and mix them with the records trade, is our approach of attempting to support entrepreneurs navigate complexities.

IBM also named facebook its first Commerce THINKLab partner. How does that coexist together with your company, IBM ExperienceOne, or does it?

the new [THINKLab] we’re launching could be specially committed to customer engagement and consumer event. manufacturers can come to IBM with an issue they’re seeking to resolve and it helps with the ideation manner, and we observe an entire design-thinking methodology to aid the brand clear up that problem.

It’s staffed with experts from our software and services group, as well as from the Interactive journey group, which is our digital company, and people from the IBM analysis Labs. manufacturers will even have entry to facebook consultants. we are able to do greater than simply integrate through typical companion courses.


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How do I transfer a PS file from a mainframe to a Linux server? | killexams.com real questions and Pass4sure dumps

There are several ways to migrate a PS file from a mainframe to a Linux server. The easiest is probably File Transfer...

Protocol (FTP).

Here's a sample job control language (JCL) in the mainframe:

//FTPJOB    JOB  ACCT //FTPSTEP   EXEC  PGM=FTP //OUTPUT    DD  SYSOUT=* //SYSPRINT  DD  SYSOUT=* //SYSIN     DD  * ftp.server.com userid password cd /incoming bin put 'main.frame.file' mainframe.file

Create the JCL and stack up mainframe FTP responses in the SYSIN DD card -- the same as in an interactive session. Each response is case-sensitive and will not work with JCL sequence numbers in columns 73 through 80.  If you're editing in a Interactive System Productivity Facility, set the edit profile to use mixed case (caps off) and no sequence numbers (unnum).

There are three things to watch out for:

  • You may need to include the mainframe data set name in quotes (as in the above example).
  • Text files are automatically translated from EBCDIC to ASCII if you set the transfer mode to ASCII.  Otherwise, binary files should be transferred in bin mode (as shown above) to avoid changing data.
  • Linux files don't have logical record lengths or block sizes. This is less of a problem for text files because IBM's FTP marks the end of each record with carriage return/line feed character combinations that Linux text editors understand. Binary files, on the other hand, will be byte streams on the server.
  • Also note that FTP requires a valid logon ID and password for the server. More sophisticated file transfer software, like IBM Sterling Connect:Direct, transfers files between platforms under the originator's security context without sending passwords over the network.

    About the author: Robert Crawford spent 29 years as a systems programmer, covering CICS technical support, Virtual Storage Access Method, IBM DB2, IBM IMS and other mainframe products. He programmed in Assembler, Rexx, C, C++, PL/1 and COBOL. Crawford is currently an operations architect based in south Texas, establishing mainframe strategy for a large insurance company.


    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.


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