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C9050-041 exam Dumps Source : Programming with IBM Enterprise PL/I

Test Code : C9050-041
Test appellation : Programming with IBM Enterprise PL/I
Vendor appellation : IBM
: 146 true Questions

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IBM Programming with IBM Enterprise

IBM launches blockchain accelerator application for enterprise | killexams.com true Questions and Pass4sure dumps

IBM Corp. announced these days the launch of the IBM Blockchain Founder Accelerator application to supply opt for industry builders deliver blockchain networks into production sooner.

The accelerator is the first software available from IBM and may give developers access to technological assist, criminal and company expertise in distributed ledger know-how and IBM’s own blockchain ecosystem.

with a purpose to gold benchmark serve novel company ventures into blockchain expertise, the Founder Accelerator application gives one-on-one mentorship and steer through network founders and technologists across a achieve of skills akin to industry case construction, community membership incentives, technical development, governance and prison issues.

Blockchains, relied on and cryptographically secured distributed ledgers, beget considered use across a great number of industries together with banking monetary services, healthcare and civil executive. each application and industry brings diverse challenges for a construction team to beat including conclusion of the assets to subsist secured, how to comfy them and infrequently what felony and regulatory considerations deserve to subsist addressed.

“Blockchain is a crew activity,” observed Marie Wieck, prevalent supervisor of blockchain know-how at IBM. “With the appropriate network of participants taking fragment on the blockchain, the advantages may besides subsist exponential.”

To aid software membership, Wieck delivered that IBM is proactively structure options and all blockchain ecosystems designed to office in numerous industries. “we're sharing their learning and elements to assist more agencies without retard installation their networks,” she talked about.

Kevin Ellison, chief government officer of Schedule1 Inc., a developer of fine data insurance map solutions, eminent that IBM’s information proved “valuable in accelerating the progress and birth of their blockchain-based services.”

Schedule1, as a issuer of safety and privateness options, Ellison defined, had to navigate the cost and complexity of complying with regulatory requirements such because the ecu’s novel prevalent information insurance map legislation. IBM would convey to undergo the identical competencies used to aid Schedule1 for brand novel blockchain ventures concerned in the accelerator program.

software participants will gain access to agile design “bootcamps” designed to aid developers immediately build, iterate and launch blockchain networks in Design considering Workshops. Technical and enterprise mentors from IBM research team on developing blockchain options will additionally advocate individuals in realizing and the usage of IBM Hyperledger textile, which is IBM’s blockchain solution (including a venture hosted by means of The Linux foundation), to profit skills in blockchain methods.

IBM intends to beget its personal know-how accessible to contributors, together with IBM Blockchain options via IBM’s cloud platform Bluemix and Hyperledger. To beget this rotate up, all application contributors will procure hold of as much as $a hundred and twenty,000 price of IBM Cloud credits to permit them to beget plenary use of IBM’s ecosystem of items.

The IBM Cloud capabilities purchasable to application membership consist of doc store, a protection-wealthy atmosphere for doc storage; the Provenance Engine, a comprehensive background of industry assets and transactions with the capacity to tune asset proprietor, vicinity and status; the procedure Engine, a workflow orchestration device on properly of the blockchain network for tamper-resistant doc protection and authorization; and Member management and Onboarding, id administration of contributors in the blockchain community, together with registration and security roles of member businesses and individual clients.

To procure the IBM Blockchain Founder Accelerator program up and working, IBM will select eight novel blockchain network founders with the aid of June 2 across a achieve of industries similar to banking, logistics, manufacturing and retail.

program entry is first-come, first-serve and is payment-based mostly with two tiers for participants. At tier 1 the funding can imbue is $a hundred,000 and includes all the alternatives mentioned above. The tier 2 the funding can imbue is $250,000, which besides includes a six-week company network construct out with IBM’s Bluemix storage, startup developer accelerator.

applications for the IBM Blockchain Founder Accelerator application are now available earlier than June 2.

image: IBM considering that you’re here … … We’d want to let you know about their mission and how that you could assist us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is in response to the intrinsic value of the content, now not promoting. unlike many online publications, they don’t beget a paywall or dash banner promoting, because they are looking to preserve their journalism open, without move or the requisite to chase site visitors.

The journalism, reporting and commentary on SiliconANGLE — together with live, unscripted video from their Silicon Valley studio and globe-trotting video teams at theCUBE — pick a lot of complicated work, time and money. retaining the nice unreasonable requires the succor of sponsors who're aligned with their vision of advert-free journalism content.

if you relish the reporting, video interviews and other advert-free content material here, please pick a second to try a sample of the video content supported through their sponsors, tweet your assist, and hold coming lower back to SiliconANGLE.


So what exactly is IBM doing distinctive with laptop gaining learning of? | killexams.com true Questions and Pass4sure dumps

picture: Science Museum London | Sir Ernest Rutherford’s laboratory, early 20th century | inventive Commons license

desktop learning itself isn't new. The ideas were around for decades, and many companies beget been constructing ML models and doing predictive analytics for ages. So what exactly is IBM doing during this area?

i would relish to content “IBM takes an commercial enterprise mode to ML”, but that sounds too indistinct. This do up details IBM’s dedication to computing device gaining learning of and how their approach goes beyond hype and hand waving to present the structures, equipment, and processes their industry purchasers need.

i requisite to focus on three things:

  • Democratizing desktop researching
  • Operationalizing desktop researching
  • Hybrid computer studying with fit-for-purpose deployment alternate options
  • Let’s study every one.

    Democratizing ML

    One element of “Democratizing” is expanding the entry to laptop studying with open supply code, open languages, and open frameworks: languages relish Python, Scala, and R; frameworks relish Spark and TensorFlow; rig relish Apache Zeppelin™, Jupyter, and RStudio. What about corporations which beget been the usage of proprietary ML tools? With steer for importing PMML, SPSS and other proprietary environments, they are able to toil with latest fashions — proprietary or open source — during this environment. presenting that diversity is their approach of meeting clients where they are, with the competencies they already have. laptop studying is touching too speedy to favor groups to scorch time ramping up on anything unfamiliar.

    A 2d point of “Democratizing” is lowering the barrier for people who don’t beget the profound math or statistics inheritance that’s been essential in the past. I wish to subsist cautious about this. I don’t requisite to testify that the tools procure rid of the deserve to understand what's occurring (removed from it!), however visual, guided interfaces for structure and trying out fashions carry a stage of productivity — assuming that you've some primary hold immediate of the concepts and domain. An instance is the Auto data preparation alternative (See determine 1), which does a fundamental even of characteristic engineering instantly. As a different illustration, the Cognitive counsel for data Science (CADS) characteristic selects the greatest algorithm for you in keeping with the statistics set and sophistication of algorithms you are looking to analyze.

    determine 1: Auto information instruction for office engineering

    a 3rd point of “Democratizing” is the capacity to collaborate. statistics science is a group recreation, involving statistics engineers, facts scientists, industry analysts, application builders, and other personas within the business. These personas can interact and collaborate, giving your entire group a collaborative workbench to subsist mindful statistics sources, partake facts exploration in notebooks, data units and models — from each visual and programmatic model-building equipment — with access manage and governance in location.

    Operationalizing ML

    as the phrase suggests, this is about taking computing device discovering from the laptops of the statistics science team and weaving it into the exact operations of the commercial enterprise. How finish you do into effect edition handle? How are you able to set up models quickly? How can utility developers invoke models with ease? How finish you subsist unavoidable the fashions remain latest as time goes with the aid of? Most companies currently doing ML beget faced this challenge. a brand novel mannequin that has simply been trained and evaluated performs wonderful on day one, despite the fact the predictions don't seem to subsist that first-rate after a pair of weeks, and the mannequin has rotate into absolutely needless in a pair of months. data patterns beget modified, and the mannequin performance has degraded. How finish you alert stakeholders when the mannequin doesn’t toil that neatly anymore? How finish you maneuver the project of refreshing fashions with novel practicing records?

    these are the questions that compelled us to create a framework for managing the entire information science lifecycle: ingest, prepare, construct, install, video display, and consistently enrich. Integration with GitHub and GitHub enterprise gives the capacity to merge and maneuver code models. An integrated self-carrier catalog provides a “shop for facts” journey. The capability to deploy fashions with a pair of clicks; permitting software developers the convenience of ingesting with a leisure call; and many others. are additionally examples of this lifecycle. Of unavoidable relevance is a feedback loop that ensures the predictive performance of your fashions stays amazing — devoid of the generic time-sink of babysitting them.

    figure 2: specifying performance metrics for a classification model

    further and further, they were seeing information science groups pulled faraway from their true toil of brainstorming, characteristic engineering, and mannequin design — and in its dwelling forced to control movements projects that may well subsist automatic. So they computerized them.

    Hybrid ML with healthy-for-purpose deployment alternatives

    We understand that for many enterprises the future is multi-cloud. A majority of their valued clientele at the second are managing information and workloads in dissimilar environments — on numerous public clouds, in the back of the firewall in a personal cloud, on mainframes, on really expert hardware and appliances, or spanning these. it's essential to conform to the principles of facts gravity (bring analytics to the records; are trying to evade relocating facts around) and meeting performance or protection SLAs that pellucid systems provide.

    it will possibly beget feel to drill on one platform and set up on an additional. for example, you could requisite to train and build an ML mannequin on an x86 cluster on-premises the use of fine statistics, and install the informed mannequin to an off-premises cloud. (See figures three and 4.)

    determine three: construct and instruct a model on-premises, however post to cloud figure four: ML model built and knowledgeable on-premises turns into purchasable on the cloud

    In a similar manner, account you are engaged on a fancy mannequin for fraud detection. it will beget undergo to dramatically accelerate working towards on vigour machines leveraging GPUs and the high precipitate NVLink connections (see https://www.ibm.com/blogs/methods/ibm-power8-cpu-and-nvidia-pascal-gpu-pace-ahead-with-nvlink/), but then you definitely could are looking to deploy the mannequin revise birthright into a CICS in-transaction call on the mainframe for sub-millisecond scoring of a bank card transaction. These use instances want highest interoperability and a unified consumer undergo across different environments.

    healthy-for-intention ML is a tall order, but unavoidable core principles practice, including bringing machine studying capabilities aboriginal to numerous systems and systems. which you could deploy your laptop discovering models the dwelling it makes probably the most experience, even if that’s within the public cloud, at the back of the firewall, in the optimized IBM integrated Analytics gadget, or on the mainframe, just to identify a number of. additional, their Kubernetes based ML ambiance can subsist stood up on infrastructure from a all lot of everyday Cloud vendors, giving you the capability to installation to IBM and non-IBM cloud environments and enabling a multi-cloud approach.

    This maintains customers from working towards information gravity: They let them bring the tools, intelligence, and analytics to the records instead of forcing them to draw statistics slowly — and insecurely — from vicinity to region.

    An industry Platform for ML

    We brought all these capabilities collectively into statistics Science journey (DSX), IBM’s enterprise platform for ML.

    possibly it goes devoid of asserting, however the innovations and capabilities described above don’t stand on my own. Working with IBM potential the capacity to combine with the broader IBM portfolio, which stages from master statistics administration to governance to resolution optimization to Watson Explorer to Watson Cognitive APIs to PowerAI and more. Combining these sets of capabilities doesn’t just create incidental efficiencies; collectively they can in fact radically change your organization. as an instance use case, Watson image attention produces a set of aspects that feed into downstream custom machine getting to know models in DSX that forecast constructing energy effectivity. In a second use case, integration between resolution Optimization with CPLEX and DSX brings superior retain staff scheduling, going beyond linear programming to quadratic services. In a 3rd use case, Watson Speech-to-textual content and advanced NLP capabilities in Watson Explorer (WEX) integrate with DSX to mingle unsupervised and supervised innovations for knowing profound intent in consumer calls into the call center.

    And also..

    we now beget integration now not just with the IBM portfolio however besides with a prosperous ecosystem of companions relish H2O, HortonWorks and many others. for instance, integration with the HortonWorks statistics Platform allows you to leverage aboriginal capabilities together with searching for records within the Hadoop cluster and authentication the use of Apache Knox.

    an additional might is a gradual circulate of innovation coming in from IBM analysis, ranging from automated office engineering to cognitive databases to dispensed profound getting to know for scaling acceleration and greater.

    but in the course of all of the features and rig that IBM is providing to favor records science for the commercial enterprise, it may besides subsist convenient to overlook the deeper judgement their valued clientele appear to IBM within the first vicinity. They seem to subsist to IBM as a result of they know that their a long time of precise-world journey across each possible industry potential they convey an unmatched depth of learning about how businesses dash and what makes them thrive.

    As effective as computing device learning is, it’s a fantasy to believe that companies can fling records into a black container and procure back actionable results. Doing characteristic engineering and structure models and infusing them into the functions and approaches of a enterprise wants an intimate talents of the industry and its dynamics — both at the high degree of the industry sector and at the low stage of transaction stream, law, and the like. That’s what differentiates IBM. Their industry-leading strategy to laptop discovering is barely the newest manifestation of an extended tradition of assisting clients locate the long run.

    try these capabilities in the statistics Science event providing — either on the cloud at https://datascience.ibm.com or behind the firewall with facts Science event native.


    IBM broadcasts business-equipped blockchain services that travel beyond currency | killexams.com true Questions and Pass4sure dumps

    reader comments with 37 posters collaborating Share this story
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  • IBM Blockchain will  subsist used to try to track carbon allowances in a pilot program in China later this year. amplify / IBM Blockchain might subsist used to are trying to music carbon allowances in a pilot application in China later this 12 months. antique architecture

    On Monday, IBM introduced a brand novel edition of its business-grade deployment of IBM Blockchain (Blockchain presents corporations the capacity to create, run, and panoply screen dispensed ledgers on IBM’s cloud). The company additionally introduced a number of commercial functions of IBM Blockchain which are either already in being or will quickly subsist deployed through a spacious achieve of groups, together with authentication provider SecureKey, economic-functions industry Northern beget confidence, and a chinese language carbon-allowance buying and selling enterprise.

    further analyzing IBM wants to tide blockchain tech past Bitcoin and cash switch The blockchain thought turned into popularized with the aid of Bitcoin, the virtual foreign money that makes use of a distributed ledger to song transactions, which can besides subsist established by using any member of the neighborhood. in the wake of Bitcoin’s popularity, IBM and different huge corporations throughout quite a few industries begun molding blockchain application to rehearse to applications past replacing money. These functions may comprehend monitoring shipments across the globe, presenting transparency to credit default swaps, or verifying identities across distinctive banks.

    IBM announced its commercial blockchain service final February, and it has been partnering with opt for companies to try out blockchain deployments for the past year. The company peculiarly paired with Walmart late ultimate yr to control recollects as the retailer tracked food and drug shipments all over.

    IBM has been setting up its product with the succor of the Linux foundation’s Hyperledger assignment, to which IBM devoted economic supplies as neatly because the toil of a number of dozen researchers and utility engineers. IBM Blockchain is in line with Hyperledger’s open supply textile codebase. in line with an IBM press unencumber, fabric is developed for business-degree programs, and it can ply “more than 1,000 transactions per second among huge ecosystems of users.”

    among the businesses attempting out IBM blockchain in 2017 is identification authentication provider SecureKey, which plans to dash a pilot application involving six Canadian banks. The software will “make it more convenient for consumers to examine they are who they content they are, in a privateness-greater, protection-rich and effective manner.” If a customer wants to open a novel telecom, utility, or checking account, that adult can select in to SecureKey’s office through a cell app. If one participating fiscal institution and credit score agency has already confirmed the consumer’s identity, then the entity growing the brand novel account can select to depend on the allotted ledger to investigate that the customer’s counsel has been verified. The collaborating banks encompass BMO, CIBC, Desjardins, RBC, Scotiabank, and TD. jointly, the banks invested $27 million in SecureKey.

    an extra industry deploying IBM Blockchain is power-Blockchain Labs. This Beijing-based mostly enterprise hopes to assist other companies enhance and exchange carbon allowances as China opens up its cap-and-alternate software later this yr. IBM and power-Blockchain Labs content that the use of a disbursed ledger to music carbon allowances will extend effectivity within the carbon market and enhance its credibility. “Blockchain technology besides provides transparency and auditability, which aid stakeholders tackle regulatory requirements,” a press release said.

    checklist lifelike by route of vintage architecture




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    C9050-041 exam Dumps Source : Programming with IBM Enterprise PL/I

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    Test appellation : Programming with IBM Enterprise PL/I
    Vendor appellation : IBM
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    Programming with IBM Enterprise PL/I

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    IBM developers forge bond with Scott Elementary | killexams.com true questions and Pass4sure dumps

    Thomasville City Schools continues its third year of partnership between Scott Elementary School and IBM by giving students hands-on interaction with programming with a team of eight IBM volunteers.  

    The group of students, which included Faith Shiver’s fourth and fifth grade gifted and Jennifer Lester’s third grade, began by discussing how robots are used in everyday life and then advanced their thought-process by drawing up plans for a robot of their own that they could invent to complete an unfavorable chore. 

    Students then split into groups to progress through the structure blocks of programming. Each group had a robot with particular attributes and weaknesses as well as a problem to subsist solved with the robot. Students defined the requirements to solve the problem, determined the instructions to meet the requirements, and then tested the solution. 

    “Pablo” was a robot whose challenge was to draw the shape of a square with its specific attributes of creativity. “Herbie,” known for its reliability, was a robot whose challenge was to lag along a prescribed path.  “Pupper” was a robot whose dexterity was an advert that would subsist used to lift and lag minute tires within a time limit.

    Trisha Atchley, IBM volunteer, reminded the students to mediate about “each tiny minute step” as they considered how they might procure the robot to finish their bidding. 

    Shiver looks forward to each visit from the IBM team with her students because the students quickly realize that the computer or robot will only finish what they expose it to do. If it doesn’t work, the kids beget to device it out.

    “The one thing that I treasure is all of the problem solving,” said Shiver. 

    With the launch of IBM Volunteers in November 2003, IBM reinvented its advocate of employees and retirees whose volunteer toil enriches the communities where people live and work. This innovative global program reflects IBM’s strategy to succor the world toil better, making a wide achieve of learning and expertise available to volunteers online. It builds on award-winning IBM corporate citizenship programs and extends a long tradition of community assignation by IBMers worldwide, drawing on their strengths in innovation, expertise, reliability, and trust.

    Scott Elementary looks forward to a recrudesce visit from the team in spring 2019.


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    Bridging the multicloud gap with open source | killexams.com true questions and Pass4sure dumps

    Cloud technologies are advancing at plenary tilt with the aid of machine learning tools and open-source learnings, and novel companies born in the cloud era are quick to optimize for an increasingly digital market.

    But while cloud-native organizations indulge in these advantages seamlessly, legacy businesses continue to struggle through the re-platforming challenges inhibiting cloud benefits. While the emergence of multicloud offers a more efficient option than lift-and-shift migration, the path to hybrid modernization remains under construction for most cloud providers soundless structure their own enterprise solutions.

    With the undergo of both a legacy tech enterprise and emerging cloud leader, IBM is adopting an open-source approach to guiding customers on their digital transformation journey.

    “I’m focused on making their cloud the best possible dwelling for people to bring their data, their applications, and near into that modernization journey with us,” said Hillery Hunter (pictured), chief technology officer and vice president of cloud infrastructure at IBM.

    With her years of undergo at IBM, Hunter is weaving novel partner tools with established IBM technology to succor customers fundamentally transform industry processes for a market that continues to scale.

    Hunter spoke with Peter Burris (@plburris), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the IBM Innovation Day event in Yorktown Heights, novel York. (* Disclosure below.)

    This week, theCUBE spotlights Hillery Hunter in their Women in Tech feature.

    A novel cloud era

    According to Hunter, global data is anticipated to exceed 44 zettabytes by 2020. To succor enterprise customers procure their arms around this astronomical volume of information and maximize its value, IBM is combining its strengths in simulated intelligence and compute with newly acquired open-source tools, courtesy of Red Hat Inc., to foster innovation through the organization’s collaborative opportunity.

    The $34-billion Red Hat procurement ultimate October gave IBM a direct line to the open-source community and marked a significant shift from the IT company’s legacy processes to that of a modern digital landscape.

    “At the IBM research facility, they can pick the latest innovations that succor us accomplish considerable AI insights and microservice integration capabilities into open source and toil there collaboratively with people across the industry,” Hunter said.

    The partnership provides a rapid integration of unprecedented software capabilities for IBM customers through newly available microservices offerings and a novel break to realize the potential of spacious data through more comprehensive analysis and insights.

    “When you lag to cloud, you’re modernizing your overall workload and bringing it into this era where you’re able to apply microservices and cloud-based programming methodology [and] bring the latest of software capability to your data,” she said.

    ‘The world is hybrid’

    The Red Hat partnership is founded on shared principles around the value and rehearse of open source, with IBM’s open-source advocate dating back decades to its early advocate of Linux and creation of the Linux Technology Center. Red Hat’s open-source market influence, common values of customer attention, and high standards for product and security beget it ripe for IBM integration, according to Hunter.

    “We beget a shared understanding of the value of open-source and the value of rate and pace of innovation that’s commensurate with what open-source provides — as well as then touching that into an enterprise context,” she said.

    In today’s enterprise market, that context is multicloud. IBM sees more thorough modernization by bringing cloud methodologies to legacy processes, instead of dragging customers through the trials of migration that may not even leave their data in its most productive environment.

    “The world is hybrid, acceptation that there is data and cloud office needed on-premises and in public clouds. There’s a requisite for private, dedicated environments in the public cloud as well,” Hunter said.

    Red Hat OpenShift provides the developer community and robust data science to facilitate those hybrid processes for IBM Cloud Private. That open-source advocate gives IBM a novel break to streamline cross-platform communication, optimize multicloud cloud infrastructure, and enable AI data analytics wherever enterprises requisite them.

    “People are using upwards of nine clouds or more in many cases, and that has to finish with this intersection of office and data residency and being able to bring software office to the data,” Hunter said.

    The company is besides working on a seamless option for customers to ultimately bring cloud to their data by first modernizing their environments and then maturing them to prepare for the AI insights integrated through hybrid networks.

    “The IBM Cloud Private offerings enable people to, in their environment where their data resides, bring sophisticated data, warehousing data analytics, and AI capabilities,” Hunter said.

    IBM’s transformation

    By providing an optimized hybrid solution through the guidance of open source, IBM is enabling the tangible transformation that has long daunted the enterprise. “Data today exists in multiple places, [and] largely because of that, people are partway through their journey to overall modernization,” Hunter said.

    The company roadmap is currently driven by a mission of getting enterprise customers up to precipitate with the pace of open-source innovation and providing options in cloud management and security as the technology scales.

    “Our core tenets are keeping up with the rate of open-source as an innovation stream, providing election in how folks are deploying cloud and deploying systems,” she said.

    In addition to its open-source integrations with Red Hat, IBM has partnered with Nvidia Corp. to build a machine learning data science platform for “the most data-intensive workloads.” The company is leveraging these tools to create comprehensive solutions that serve involved custom multicloud environment needs beyond the scope of traditional IT.

    “There’s a significant amount of IT that is currently traditional in that people are in the process of modernizing, and that may initially subsist through a private cloud context on the journey to overall workload modernization,” Hunter said.

    As IBM continues to transform through its own partnerships, the company is uniquely positioned to steer the enterprise into digital transformation.

    “You want to not just declare that the world is hybrid and multicloud, but provide solutions to that end. They beget tenacious answers to how to bring these pieces together and enable people to successfully lag at the pace of innovation that they requisite in a secure context, subsist that on private or public context,” Hunter concluded.

    Watch the complete video interview below, and subsist sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the IBM Innovation Day event. (* Disclosure: TheCUBE is a paid media partner for the IBM Innovation Day event. Neither IBM, the event sponsor, nor other sponsors beget editorial control over content on theCUBE or SiliconANGLE.)

    Photo: SiliconANGLE Since you’re here … … We’d relish to expose you about their mission and how you can succor us fulfill it. SiliconANGLE Media Inc.’s industry model is based on the intrinsic value of the content, not advertising. Unlike many online publications, they don’t beget a paywall or dash banner advertising, because they want to retain their journalism open, without influence or the requisite to chase traffic.

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    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 126046542X
    ISBN13 : 9781260465426
    Our ISBN10 : 1260084493
    Our ISBN13 : 9781260084498
    Subject : Business & Economics
    Price : $39.00
    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 0078021782
    ISBN13 : 9780078021787
    Our ISBN10 : 1260084493
    Our ISBN13 : 9781260084498
    Subject : Business & Economics
    Price : $65.00
    Understanding BusinessUnderstanding Business
    By William G Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Feb 2018)
    ISBN10 : 126021110X
    ISBN13 : 9781260211108
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $75.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (May 2018)
    ISBN10 : 1260682137
    ISBN13 : 9781260682137
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $80.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1260277143
    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $77.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1259929434
    ISBN13 : 9781259929434
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $76.00
    C9050-041C9050-041
    By Peter W. Cardon
    Publisher : McGraw-Hill (Jan 2017)
    ISBN10 : 1260128474
    ISBN13 : 9781260128475
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $39.00
    C9050-041C9050-041
    By Peter Cardon
    Publisher : McGraw-Hill (Feb 2017)
    ISBN10 : 1260147150
    ISBN13 : 9781260147155
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $64.00
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