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000-041 Programming with IBM Enterprise PL/I

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IBM Programming with IBM Enterprise

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

IBM Corp. introduced today the launch of the IBM Blockchain Founder Accelerator program to provide opt for enterprise developers convey blockchain networks into creation sooner.

The accelerator is the first software accessible from IBM and will give builders entry to technological assist, prison and company talents in distributed ledger know-how and IBM’s own blockchain ecosystem.

with the intention to most effective serve new company ventures into blockchain know-how, the Founder Accelerator software provides one-on-one mentorship and help with the aid of community founders and technologists throughout a range of knowledge corresponding to enterprise case development, network membership incentives, technical construction, governance and felony considerations.

Blockchains, relied on and cryptographically secured allotted ledgers, have seen use throughout a large number of industries including banking economic features, healthcare and civil govt. each utility and business brings distinct challenges for a construction crew to conquer together with decision of the assets to be secured, the way to cozy them and often what criminal and regulatory issues deserve to be addressed.

“Blockchain is a crew sport,” observed Marie Wieck, regular supervisor of blockchain know-how at IBM. “With the correct community of participants collaborating on the blockchain, the benefits may also be exponential.”

To assist application membership, Wieck added that IBM is proactively building solutions and full blockchain ecosystems designed to operate in lots of industries. “we are sharing their skills and supplies to aid more agencies without delay deploy their networks,” she pointed out.

Kevin Ellison, chief executive officer of Schedule1 Inc., a developer of delicate records protection options, stated that IBM’s information proved “worthwhile in accelerating the construction and delivery of their blockchain-based mostly capabilities.”

Schedule1, as a issuer of protection and privateness options, Ellison explained, needed to navigate the charge and complexity of complying with regulatory necessities such because the eu’s new conventional statistics protection rules. IBM would bring to endure the identical abilities used to support Schedule1 for brand new blockchain ventures concerned within the accelerator software.

application individuals will gain entry to agile design “bootcamps” designed to aid developers without delay construct, iterate and launch blockchain networks in Design considering Workshops. Technical and enterprise mentors from IBM analysis group on growing blockchain options will also help individuals in knowing and using IBM Hyperledger material, which is IBM’s blockchain answer (including a assignment hosted via The Linux groundwork), to profit potential in blockchain systems.

IBM intends to make its own technology attainable to participants, together with IBM Blockchain options by means of IBM’s cloud platform Bluemix and Hyperledger. To make this happen, all application members will receive up to $a hundred and twenty,000 value of IBM Cloud credit to enable them to make full use of IBM’s ecosystem of items.

The IBM Cloud capabilities accessible to software membership encompass doc keep, a safety-rich environment for document storage; the Provenance Engine, a comprehensive heritage of business belongings and transactions with the capacity to song asset owner, location and status; the technique Engine, a workflow orchestration equipment on right of the blockchain network for tamper-resistant document renovation and authorization; and Member administration and Onboarding, identification management of contributors within the blockchain community, together with registration and safety roles of member businesses and particular person clients.

To get the IBM Blockchain Founder Accelerator program up and operating, IBM will choose eight new blockchain network founders by way of June 2 throughout a number industries equivalent to banking, logistics, manufacturing and retail.

program entry is first-come, first-serve and is charge-primarily based with two tiers for participants. At tier 1 the funding can charge is $100,000 and comprises all of the opportunities mentioned above. The tier 2 the investment cost is $250,000, which also contains a six-week business community build out with IBM’s Bluemix storage, startup developer accelerator.

applications for the IBM Blockchain Founder Accelerator program at the moment are available earlier than June 2.

photo: IBM due to the fact you’re right here … … We’d like to tell you about their mission and how that you could help us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is based on the intrinsic price of the content, now not advertising. unlike many online publications, they don’t have a paywall or run banner promoting, because they need to hold their journalism open, without affect or the deserve to chase traffic.

The journalism, reporting and commentary on SiliconANGLE — along with are living, unscripted video from their Silicon Valley studio and globe-trotting video groups at theCUBE — take lots of tough work, time and funds. keeping the nice high requires the aid of sponsors who're aligned with their imaginative and prescient of advert-free journalism content material.

in case you just like the reporting, video interviews and different advert-free content material right here, please take a moment to check out a sample of the video content supported with the aid of their sponsors, tweet your assist, and keep coming back to SiliconANGLE.


So what precisely is IBM doing distinctive with computing device studying? | killexams.com Real Questions and Pass4sure dumps

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

computer discovering itself isn't new. The concepts had been around for a long time, and a lot of businesses had been building ML fashions and doing predictive analytics for a long time. So what precisely is IBM doing during this house?

i want to say “IBM takes an enterprise approach to ML”, however that sounds too indistinct. This submit details IBM’s commitment to laptop learning and the way their strategy goes past hype and hand waving to present the structures, equipment, and techniques their enterprise purchasers need.

i would like to focus on three things:

  • Democratizing desktop getting to know
  • Operationalizing computer learning
  • Hybrid machine researching with healthy-for-goal deployment options
  • Let’s study each and every one.

    Democratizing ML

    One point of “Democratizing” is expanding the entry to desktop gaining knowledge of with open supply code, open languages, and open frameworks: languages like Python, Scala, and R; frameworks like Spark and TensorFlow; tools like Apache Zeppelin™, Jupyter, and RStudio. What about companies which have been the use of proprietary ML equipment? With support for importing PMML, SPSS and other proprietary environments, they will work with present fashions — proprietary or open source — during this environment. featuring that variety is their manner of assembly users the place they are, with the competencies they already have. machine discovering is moving too quick to force teams to burn time ramping up on whatever unfamiliar.

    A second aspect of “Democratizing” is reducing the barrier for americans who don’t have the deep math or data heritage that’s been crucial during the past. I need to be cautious about this. I don’t wish to indicate that the tools get rid of the need to remember what's going on (far from it!), but visible, guided interfaces for constructing and checking out models deliver a level of productiveness — assuming that you've some primary hold close of the ideas and domain. An illustration is the Auto records education option (See figure 1), which does a simple level of characteristic engineering automatically. As another instance, the Cognitive assistance for data Science (CADS) characteristic selects the greatest algorithm for you in response to the facts set and sophistication of algorithms you need to analyze.

    figure 1: Auto facts preparation for characteristic engineering

    a 3rd element of “Democratizing” is the ability to collaborate. data science is a crew game, involving facts engineers, statistics scientists, business analysts, software developers, and other personas in the enterprise. These personas can engage and collaborate, giving your entire team a collaborative workbench to be mindful information sources, share information exploration in notebooks, information sets and fashions — from each visible and programmatic model-constructing tools — with entry handle and governance in location.

    Operationalizing ML

    because the phrase suggests, here's about taking computing device getting to know from the laptops of the statistics science crew and weaving it into the precise operations of the business. How do you put into effect edition handle? How can you deploy fashions promptly? How can application developers invoke fashions effortlessly? How do you be sure the models dwell current as time goes by using? Most organizations at the moment doing ML have confronted this challenge. a new model that has just been trained and evaluated performs wonderful on day one, although the predictions don't seem to be that terrific after a few weeks, and the mannequin has become fully unnecessary in a few months. facts patterns have changed, and the model performance has degraded. How do you alert stakeholders when the mannequin doesn’t work that neatly anymore? How do you control the assignment of fresh fashions with new working towards facts?

    those are the questions that compelled us to create a framework for managing the whole information science lifecycle: ingest, put together, construct, installation, display screen, and continually enhance. Integration with GitHub and GitHub enterprise gives the skill to merge and manipulate code types. An integrated self-service catalog provides a “shop for data” journey. The skill to installation fashions with a few clicks; allowing application developers the convenience of ingesting with a relaxation name; and so forth. are additionally examples of this lifecycle. Of specific relevance is a comments loop that ensures the predictive performance of your fashions stays strong — with out the common time-sink of babysitting them.

    figure 2: specifying efficiency metrics for a classification model

    further and further, they have been seeing statistics science teams pulled away from their precise work of brainstorming, feature engineering, and mannequin design — and as an alternative compelled to manage events initiatives that can be automated. So they automated them.

    Hybrid ML with healthy-for-purpose deployment options

    We realize that for most companies the future is multi-cloud. A majority of their consumers are now managing facts and workloads in distinctive environments — on diverse public clouds, at the back of the firewall in a non-public cloud, on mainframes, on really expert hardware and home equipment, or spanning these. it's essential to conform to the principles of information gravity (convey analytics to the records; are attempting to steer clear of moving data round) and meeting performance or safety SLAs that definite structures provide.

    it might probably make experience to educate on one platform and install on another. for instance, you could need to instruct and build an ML model on an x86 cluster on-premises using delicate data, and install the informed mannequin to an off-premises cloud. (See figures three and 4.)

    determine three: construct and coach a model on-premises, but put up to cloud determine four: ML model built and expert on-premises turns into accessible on the cloud

    In a similar way, believe you're engaged on a posh model for fraud detection. it might make experience to dramatically accelerate practising on power machines leveraging GPUs and the high velocity NVLink connections (see https://www.ibm.com/blogs/programs/ibm-power8-cpu-and-nvidia-pascal-gpu-pace-forward-with-nvlink/), however then you definitely could are looking to deploy the model right right into a CICS in-transaction name on the mainframe for sub-millisecond scoring of a bank card transaction. These use instances want maximum interoperability and a unified consumer experience throughout distinctive environments.

    healthy-for-intention ML is a tall order, but definite core ideas observe, together with bringing laptop discovering capabilities native to plenty of systems and techniques. that you would be able to install your laptop discovering fashions the place it makes essentially the most experience, even if that’s in the public cloud, behind the firewall, within the optimized IBM built-in Analytics gadget, or on the mainframe, just to name a couple of. extra, their Kubernetes based mostly ML atmosphere can be stood up on infrastructure from lots of time-honored Cloud carriers, providing you with the skill to deploy to IBM and non-IBM cloud environments and enabling a multi-cloud strategy.

    This maintains shoppers from working towards facts gravity: They allow them to convey the tools, intelligence, and analytics to the statistics instead of forcing them to tug data slowly — and insecurely — from vicinity to place.

    An enterprise Platform for ML

    We brought all these capabilities collectively into information Science experience (DSX), IBM’s business platform for ML.

    possibly it goes without announcing, however the innovations and capabilities described above don’t stand by myself. Working with IBM means the capability to integrate with the broader IBM portfolio, which degrees from master information management to governance to resolution optimization to Watson Explorer to Watson Cognitive APIs to PowerAI and more. Combining these units of capabilities doesn’t just create incidental efficiencies; together they could in reality transform your corporation. as an instance use case, Watson photograph recognition produces a set of facets that feed into downstream customized computing device gaining knowledge of models in DSX that predict constructing energy efficiency. In a 2d use case, integration between decision Optimization with CPLEX and DSX brings advanced keep body of workers scheduling, going past linear programming to quadratic services. In a third use case, Watson Speech-to-text and advanced NLP capabilities in Watson Explorer (WEX) integrate with DSX to mix unsupervised and supervised strategies for figuring out deep intent in consumer calls into the name center.

    And also..

    we now have integration not just with the IBM portfolio but additionally with a rich ecosystem of partners like H2O, HortonWorks and so forth. for instance, integration with the HortonWorks facts Platform permits you to leverage native capabilities together with looking for facts within the Hadoop cluster and authentication using Apache Knox.

    an extra electricity is a steady movement of innovation coming in from IBM analysis, starting from automatic characteristic engineering to cognitive databases to disbursed deep studying for scaling acceleration and greater.

    but in the midst of all the aspects and equipment that IBM is providing to force records science for the commercial enterprise, it will also be convenient to neglect the deeper purpose their clients appear to IBM in the first region. They appear to IBM as a result of they know that their a long time of true-world experience across each conceivable business ability they deliver an unmatched depth of talents about how agencies run and what makes them thrive.

    As effective as desktop researching is, it’s a fantasy to suppose that agencies can throw information right into a black container and get returned actionable outcomes. Doing characteristic engineering and constructing fashions and infusing them into the applications and procedures of a enterprise wants an intimate knowledge of the enterprise and its dynamics — both at the excessive degree of the business sector and at the low level of transaction circulation, legislation, etc. That’s what differentiates IBM. Their trade-leading method to desktop discovering is just the newest manifestation of a long subculture of helping consumers locate the future.

    check out these capabilities in the facts Science event providing — both on the cloud at https://datascience.ibm.com or in the back of the firewall with statistics Science experience local.


    IBM broadcasts business-competent blockchain services that go beyond currency | killexams.com Real Questions and Pass4sure dumps

    reader feedback with 37 posters participating Share this story
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  • IBM Blockchain will be used to try to track carbon allowances in a pilot program in China later this year. amplify / IBM Blockchain will be used to try to music carbon allowances in a pilot program in China later this 12 months. antique structure

    On Monday, IBM announced a brand new version of its commercial enterprise-grade deployment of IBM Blockchain (Blockchain presents businesses the potential to create, run, and video display distributed ledgers on IBM’s cloud). The business additionally announced a few business applications of IBM Blockchain that are both already in existence or will quickly be deployed with the aid of a wide array of businesses, including authentication issuer SecureKey, financial-functions company Northern have faith, and a chinese language carbon-allowance trading company.

    extra reading IBM desires to move blockchain tech past Bitcoin and funds transfer The blockchain concept turned into popularized via Bitcoin, the virtual foreign money that uses a allotted ledger to music transactions, which will also be confirmed via any member of the neighborhood. in the wake of Bitcoin’s recognition, IBM and other colossal corporations throughout a lot of industries started molding blockchain software to observe to purposes beyond replacing cash. These purposes could encompass monitoring shipments across the globe, providing transparency to credit default swaps, or verifying identities throughout diverse banks.

    IBM announced its business blockchain provider remaining February, and it has been partnering with choose companies to try out blockchain deployments for the previous yr. The company chiefly paired with Walmart late ultimate year to manage recalls because the retailer tracked food and drug shipments worldwide.

    IBM has been developing its product with the support of the Linux groundwork’s Hyperledger venture, to which IBM devoted fiscal components as well because the work of a couple of dozen researchers and software engineers. IBM Blockchain is in accordance with Hyperledger’s open source fabric codebase. according to an IBM press free up, cloth is constructed for enterprise-degree systems, and it can address “greater than 1,000 transactions per second among big ecosystems of clients.”

    among the many corporations making an attempt out IBM blockchain in 2017 is id authentication service SecureKey, which plans to run a pilot program involving six Canadian banks. The application will “make it easier for patrons to assess they're who they say they're, in a privateness-stronger, security-prosperous and efficient method.” If a customer desires to open a new telecom, utility, or checking account, that person can choose in to SecureKey’s function via a mobile app. If one collaborating financial institution and credit score company has already proven the consumer’s id, then the entity creating the new account can choose to rely on the allotted ledger to investigate that the client’s counsel has been demonstrated. The participating banks consist of BMO, CIBC, Desjardins, RBC, Scotiabank, and TD. mutually, the banks invested $27 million in SecureKey.

    an additional enterprise deploying IBM Blockchain is energy-Blockchain Labs. This Beijing-based mostly enterprise hopes to help other businesses develop and alternate carbon allowances as China opens up its cap-and-alternate software later this 12 months. IBM and power-Blockchain Labs say that the usage of a disbursed ledger to tune carbon allowances will increase effectivity in the carbon market and raise its credibility. “Blockchain expertise also provides transparency and auditability, which aid stakeholders tackle regulatory necessities,” an announcement mentioned.

    checklist picture via antique structure


    000-041 Programming with IBM Enterprise PL/I

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    IBM developers forge bond with Scott Elementary | killexams.com real 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 building blocks of programming. Each group had a robot with particular attributes and weaknesses as well as a problem to be 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 move along a prescribed path.  “Pupper” was a robot whose dexterity was an attribute that would be used to lift and move small tires within a time limit.

    Trisha Atchley, IBM volunteer, reminded the students to think about “each tiny little step” as they considered how they might get the robot to do 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 do what they tell it to do. If it doesn’t work, the kids have to figure it out.

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

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

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


    Devnexus Conference confirms IBM as the top-level sponsor for the largest Java developer conference in the USA | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!AJUG is a not for profit organization dedicated to educating its local community on the innovations and benefits to business of the Java programming ... to Java from IBM's side, so for example in Ecli...

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

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

    But while cloud-native organizations enjoy 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 still building their own enterprise solutions.

    With the experience 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 place for people to bring their data, their applications, and come 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 experience at IBM, Hunter is weaving new partner tools with established IBM technology to help customers fundamentally transform business 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, New York. (* Disclosure below.)

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

    A new cloud era

    According to Hunter, global data is anticipated to exceed 44 zettabytes by 2020. To help enterprise customers get their arms around this astronomical volume of information and maximize its value, IBM is combining its strengths in artificial 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 last 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 take the latest innovations that help us accomplish great AI insights and microservice integration capabilities into open source and work 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 new opportunity to realize the potential of big data through more comprehensive analysis and insights.

    “When you move 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 practice of open source, with IBM’s open-source support dating back decades to its early support 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 make it ripe for IBM integration, according to Hunter.

    “We have 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 moving 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, meaning that there is data and cloud function needed on-premises and in public clouds. There’s a need 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 support gives IBM a new opportunity to streamline cross-platform communication, optimize multicloud cloud infrastructure, and enable AI data analytics wherever enterprises need them.

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

    The company is also 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 speed 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 choice 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 complex 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 be 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 guide 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 have strong answers to how to bring these pieces together and enable people to successfully move at the pace of innovation that they need in a secure context, be that on private or public context,” Hunter concluded.

    Watch the complete video interview below, and be 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 have editorial control over content on theCUBE or SiliconANGLE.)

    Photo: SiliconANGLE Since you’re here … … We’d like to tell you about their mission and how you can help us fulfill it. SiliconANGLE Media Inc.’s business model is based on the intrinsic value of the content, not advertising. Unlike many online publications, they don’t have a paywall or run banner advertising, because they want to keep their journalism open, without influence or the need to chase traffic.

    The journalism, reporting and commentary on SiliconANGLE — along with live, unscripted video from their Silicon Valley studio and globe-trotting video teams at theCUBE — take a lot of hard work, time and money. Keeping the quality high requires the support of sponsors who are aligned with their vision of ad-free journalism content.

    If you like the reporting, video interviews and other ad-free content here, please take a moment to check out a sample of the video content supported by their sponsors, tweet your support, and keep coming back to SiliconANGLE.



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