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

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

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IBM Programming with IBM Enterprise

IBM launches blockchain accelerator application for trade | killexams.com actual Questions and Pass4sure dumps

IBM Corp. introduced these days the launch of the IBM Blockchain Founder Accelerator software to provide choose enterprise builders deliver blockchain networks into construction faster.

The accelerator is the first program available from IBM and should give developers access to technological assist, prison and enterprise capabilities in dispensed ledger expertise and IBM’s own blockchain ecosystem.

in order to surest serve unusual enterprise ventures into blockchain know-how, the Founder Accelerator application provides one-on-one mentorship and capitalize by means of network founders and technologists throughout a variety of potential reminiscent of enterprise case development, community membership incentives, technical development, governance and legal concerns.

Blockchains, trusted and cryptographically secured allotted ledgers, gain seen spend throughout a lot of industries together with banking pecuniary functions, healthcare and civil govt. each application and trade brings discrete challenges for a building team to beat including determination of the property to subsist secured, how to relaxed them and often what legal and regulatory concerns deserve to subsist addressed.

“Blockchain is a team recreation,” pointed out Marie Wieck, universal supervisor of blockchain technology at IBM. “With the perquisite network of participants participating on the blockchain, the advantages can also subsist exponential.”

To assist application membership, Wieck added that IBM is proactively building options and gross blockchain ecosystems designed to operate in loads of industries. “we're sharing their handicap and substances to capitalize extra organizations perquisite away installation their networks,” she noted.

Kevin Ellison, chief govt officer of Schedule1 Inc., a developer of elegant statistics insurance scheme solutions, pointed out that IBM’s assistance proved “helpful in accelerating the evolution and start of their blockchain-primarily based capabilities.”

Schedule1, as a issuer of security and privateness options, Ellison defined, had to navigate the saturate and complexity of complying with regulatory requirements such as the ecu’s unusual well-known data insurance policy law. IBM would deliver to endure the identical lore used to aid Schedule1 for brand unusual blockchain ventures worried within the accelerator application.

application individuals will gain entry to agile design “bootcamps” designed to advocate developers perquisite away build, iterate and launch blockchain networks in Design pondering Workshops. Technical and enterprise mentors from IBM analysis crew on creating blockchain solutions will also capitalize participants in knowing and the spend of IBM Hyperledger material, which is IBM’s blockchain solution (together with a mission hosted with the aid of The Linux basis), to capitalize capabilities in blockchain techniques.

IBM intends to compose its own know-how attainable to participants, including IBM Blockchain options by means of IBM’s cloud platform Bluemix and Hyperledger. To compose this happen, total application individuals will acquire as much as $one hundred twenty,000 charge of IBM Cloud credit to enable them to compose plenary spend of IBM’s ecosystem of items.

The IBM Cloud capabilities attainable to software membership embrace document keep, a protection-prosperous ambiance for doc storage; the Provenance Engine, a complete historical past of trade belongings and transactions with the capability to music asset owner, vicinity and standing; the technique Engine, a workflow orchestration gadget on redress of the blockchain community for tamper-resistant doc preservation and authorization; and Member management and Onboarding, identity management of members within the blockchain network, together with registration and security roles of member organizations and individual users.

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

program entry is first-come, first-serve and is price-based with two tiers for members. At tier 1 the funding saturate is $a hundred,000 and contains total of the alternatives mentioned above. The tier 2 the funding saturate is $250,000, which additionally comprises a six-week company community build out with IBM’s Bluemix garage, startup developer accelerator.

purposes for the IBM Blockchain Founder Accelerator application at the flash are accessible earlier than June 2.

photograph: IBM given that you’re here … … We’d want to let you know about their mission and the pass which you could aid us fulfill it. SiliconANGLE Media Inc.’s trade mannequin is according to the intrinsic charge of the content material, not advertising. unlike many online publications, they don’t gain a paywall or accelerate banner promoting, as a result of they want to maintain their journalism open, devoid of gain an impact on or the requisite to chase site visitors.

The journalism, reporting and commentary on SiliconANGLE — together with are living, unscripted video from their Silicon Valley studio and globe-trotting video groups at theCUBE — seize loads of difficult work, time and cash. keeping the noteworthy excessive requires the advocate of sponsors who're aligned with their vision of ad-free journalism content.

in case you just relish the reporting, video interviews and other advert-free content material here, please seize a flash to check out a sample of the video content supported via their sponsors, tweet your aid, and hold coming lower back to SiliconANGLE.


So what exactly is IBM doing diverse with computing device studying? | killexams.com actual Questions and Pass4sure dumps

photograph: Science Museum London | Sir Ernest Rutherford’s laboratory, early twentieth century | inventive Commons license

computer researching itself is not new. The concepts were round for many years, and a lot of organizations were constructing ML fashions and doing predictive analytics for ages. So what exactly is IBM doing during this house?

i would relish to shriek “IBM takes an commercial enterprise approach to ML”, but that sounds too vague. This publish details IBM’s commitment to desktop getting to know and the pass their manner goes beyond hype and hand waving to present the systems, tools, and strategies their commercial enterprise purchasers want.

i requisite to focus on three issues:

  • Democratizing desktop discovering
  • Operationalizing machine getting to know
  • Hybrid computer researching with fit-for-goal deployment alternate options
  • Let’s study every one.

    Democratizing ML

    One point of “Democratizing” is expanding the access to machine gaining lore of with open source code, open languages, and open frameworks: languages relish Python, Scala, and R; frameworks relish Spark and TensorFlow; materiel relish Apache Zeppelin™, Jupyter, and RStudio. What about groups which gain been the spend of proprietary ML tools? With advocate for importing PMML, SPSS and other proprietary environments, they will work with latest models — proprietary or open supply — in this ambiance. presenting that diversity is their manner of meeting clients the spot they are, with the capabilities they gain already got. machine learning is affecting too quickly to force groups to sear time ramping up on something unfamiliar.

    A 2d aspect of “Democratizing” is reducing the barrier for americans who don’t gain the profound math or statistics history that’s been imperative in the past. I are looking to subsist cautious about this. I don’t requisite to hint that the materiel conclude away with the deserve to seize into account what's going on (removed from it!), however visible, guided interfaces for constructing and trying out fashions carry a stage of productivity — assuming that you gain some simple hold close of the principles and area. An instance is the Auto data practise option (See figure 1), which does a simple stage of feature engineering immediately. As a further example, the Cognitive counsel for records Science (CADS) feature selects the premiere algorithm for you according to the information set and class of algorithms you requisite to analyze.

    determine 1: Auto information coaching for feature engineering

    a third point of “Democratizing” is the capability to collaborate. records science is a team game, involving data engineers, facts scientists, company analysts, utility builders, and different personas within the business. These personas can interact and collaborate, giving your complete team a collaborative workbench to gain in intellect information sources, partake records exploration in notebooks, records units and fashions — from each visible and programmatic model-constructing tools — with entry manage and governance in area.

    Operationalizing ML

    as the phrase suggests, here's about taking machine getting to know from the laptops of the statistics science group and weaving it into the specific operations of the business. How conclude you implement version manage? How are you able to install models perquisite now? How can utility builders invoke fashions effectively? How conclude you compose confident the models reside existing as time goes with the aid of? Most companies at the flash doing ML gain faced this challenge. a unusual mannequin that has simply been knowledgeable and evaluated performs incredible on day one, youngsters the predictions are not that wonderful after just a few weeks, and the mannequin has revolve into completely unnecessary in a number of months. statistics patterns gain changed, and the model efficiency has degraded. How conclude you alert stakeholders when the model doesn’t work that smartly anymore? How conclude you exploit the project of immaculate models with unusual practising facts?

    those are the questions that compelled us to create a framework for managing the gross statistics science lifecycle: ingest, set aside together, build, installation, monitor, and normally enrich. Integration with GitHub and GitHub commercial enterprise gives the aptitude to merge and manage code types. An built-in self-service catalog provides a “shop for facts” adventure. The capability to set up fashions with a number of clicks; permitting software developers the capitalize of ingesting with a relaxation name; etc. are additionally examples of this lifecycle. Of particular relevance is a remarks loop that ensures the predictive efficiency of your fashions stays amazing — with out the typical time-sink of babysitting them.

    determine 2: specifying efficiency metrics for a classification model

    further and further, they were seeing information science teams pulled far from their actual work of brainstorming, characteristic engineering, and mannequin design — and as a substitute forced to control routine tasks that could subsist computerized. So they computerized them.

    Hybrid ML with fit-for-intention deployment alternatives

    We recognise that for most companies the longer term is multi-cloud. A majority of their purchasers are actually managing information and workloads in assorted environments — on distinctive public clouds, at the back of the firewall in a private cloud, on mainframes, on really superb hardware and home equipment, or spanning these. it's vital to conform to the concepts of data gravity (bring analytics to the data; are trying to tarry away from affecting facts round) and assembly efficiency or safety SLAs that inescapable platforms give.

    it could compose feel to coach on one platform and set up on a different. for instance, you may wish to train and construct an ML model on an x86 cluster on-premises using sensitive information, and set up the educated model to an off-premises cloud. (See figures three and 4.)

    determine 3: build and coach a model on-premises, but set aside up to cloud determine 4: ML model built and knowledgeable on-premises becomes accessible on the cloud

    In an analogous manner, reckon you are engaged on a complicated mannequin for fraud detection. it would compose taste to dramatically accelerate up practicing on power machines leveraging GPUs and the excessive velocity NVLink connections (see https://www.ibm.com/blogs/techniques/ibm-power8-cpu-and-nvidia-pascal-gpu-speed-ahead-with-nvlink/), however you then may want to set up the mannequin commandeer perquisite into a CICS in-transaction title on the mainframe for sub-millisecond scoring of a credit card transaction. These spend cases want highest interoperability and a unified user event across discrete environments.

    healthy-for-purpose ML is a tall order, however inescapable core ideas follow, together with bringing desktop researching capabilities endemic to plenty of systems and techniques. that you would subsist able to set up your computing device studying models the spot it makes essentially the most experience, no matter if that’s in the public cloud, at the back of the firewall, within the optimized IBM built-in Analytics device, or on the mainframe, just to title a few. additional, their Kubernetes primarily based ML atmosphere can also subsist stood up on infrastructure from a gross lot of established Cloud providers, supplying you with the skill to installation to IBM and non-IBM cloud environments and enabling a multi-cloud strategy.

    This maintains purchasers from working in opposition t facts gravity: They let them carry the tools, intelligence, and analytics to the records rather than forcing them to drag statistics slowly — and insecurely — from zone to location.

    An trade Platform for ML

    We brought total these capabilities collectively into information Science adventure (DSX), IBM’s enterprise platform for ML.

    most likely it goes devoid of announcing, however the innovations and capabilities described above don’t stand on my own. Working with IBM skill the skill to integrate with the broader IBM portfolio, which ranges from master data administration to governance to determination optimization to Watson Explorer to Watson Cognitive APIs to PowerAI and more. Combining these units of capabilities doesn’t simply create incidental efficiencies; together they can truly transform your firm. for instance spend case, Watson photo recognition produces a collection of facets that feed into downstream customized computing device learning fashions in DSX that forecast building energy effectivity. In a 2d spend case, integration between determination Optimization with CPLEX and DSX brings advanced store group of workers scheduling, going beyond linear programming to quadratic services. In a third spend case, Watson Speech-to-text and superior NLP capabilities in Watson Explorer (WEX) integrate with DSX to combine unsupervised and supervised concepts for figuring out profound intent in consumer calls into the title core.

    And additionally..

    we gain integration no longer just with the IBM portfolio however additionally with a wealthy ecosystem of partners relish H2O, HortonWorks and so forth. for instance, integration with the HortonWorks facts Platform lets you leverage endemic capabilities together with looking for statistics in the Hadoop cluster and authentication the usage of Apache Knox.

    an additional strength is a gentle movement of innovation coming in from IBM analysis, starting from automated office engineering to cognitive databases to allotted profound gaining lore of for scaling acceleration and more.

    but in the midst of total of the features and tools that IBM is proposing to drive facts science for the business, it can also subsist light to forget the deeper intent their valued clientele appear to IBM within the first region. They seem to IBM because they subsist alert of that their a long time of real-world adventure across every conceivable trade potential they bring an unmatched depth of abilities about how groups accelerate and what makes them thrive.

    As powerful as laptop researching is, it’s a myth to mediate that corporations can throw data perquisite into a black province and bag returned actionable consequences. Doing characteristic engineering and building models and infusing them into the applications and approaches of a enterprise needs an intimate competencies of the enterprise and its dynamics — both at the excessive stage of the trade sector and on the low stage of transaction stream, law, and the like. That’s what differentiates IBM. Their business-leading strategy to laptop discovering is just the newest manifestation of an extended culture of helping valued clientele find the long run.

    try these capabilities in the records Science event providing — both on the cloud at https://datascience.ibm.com or at the back of the firewall with statistics Science taste native.


    IBM broadcasts business-in a position blockchain features that Go past forex | killexams.com actual Questions and Pass4sure dumps

    reader feedback sixty five Share this story
  • IBM Blockchain will  subsist used to try to track carbon allowances in a pilot program in China later this year. magnify / IBM Blockchain may subsist used to try to song carbon allowances in a pilot application in China later this year. vintage structure

    On Monday, IBM introduced a unusual version of its commercial enterprise-grade deployment of IBM Blockchain (Blockchain presents groups the skill to create, run, and computer screen distributed ledgers on IBM’s cloud). The trade also introduced a few trade purposes of IBM Blockchain which are both already in being or will quickly subsist deployed with the aid of a wide range of groups, together with authentication issuer SecureKey, fiscal-services enterprise Northern gain faith, and a chinese language carbon-allowance buying and selling company.

    extra reading IBM wants to scramble blockchain tech beyond Bitcoin and cash transfer The blockchain notion turned into popularized by using Bitcoin, the digital foreign money that uses a distributed ledger to track transactions, which can subsist established through any member of the group. in the wake of Bitcoin’s recognition, IBM and other tremendous agencies throughout a number of industries total started molding blockchain utility to practice to functions past changing funds. These purposes might consist of monitoring shipments across the globe, proposing transparency to credit score default swaps, or verifying identities across diverse banks.

    IBM introduced its commercial blockchain carrier final February, and it has been partnering with choose businesses to are attempting out blockchain deployments for the past 12 months. The company principally paired with Walmart late final 12 months to exploit recollects as the retailer tracked meals and drug shipments total over the world.

    IBM has been developing its product with the advocate of the Linux basis’s Hyperledger venture, to which IBM committed economic materials as smartly because the work of a brace of dozen researchers and application engineers. IBM Blockchain is in keeping with Hyperledger’s open supply fabric codebase. according to an IBM press liberate, material is constructed for business-degree methods, and it can exploit “greater than 1,000 transactions per second amongst tremendous ecosystems of users.”

    among the businesses trying out IBM blockchain in 2017 is identification authentication service SecureKey, which plans to accelerate a pilot application involving six Canadian banks. The program will “make it less difficult for consumers to verify they're who they are proverb they are, in a privacy-superior, security-rich and efficient means.” If a consumer wants to open a brand unusual telecom, utility, or bank account, that adult can opt in to SecureKey’s characteristic via a cellular app. If one participating bank and credit score company has already proven the client’s identity, then the entity developing the unusual account can choose to signify on the dispensed ledger to determine that the consumer’s suggestions has been verified. The collaborating banks embrace BMO, CIBC, Desjardins, RBC, Scotiabank, and TD. collectively, the banks invested $27 million in SecureKey.

    another company deploying IBM Blockchain is energy-Blockchain Labs. This Beijing-based company hopes to assist different agencies boost and change carbon allowances as China opens up its cap-and-trade program later this 12 months. IBM and power-Blockchain Labs shriek that the spend of a allotted ledger to tune carbon allowances will enrich efficiency in the carbon market and boost its credibility. “Blockchain expertise also provides transparency and auditability, which assist stakeholders tackle regulatory necessities,” a press release referred to.

    checklist lifelike with the aid of vintage architecture




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

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

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    My Oracle Code One 2018 Personal taste | killexams.com actual questions and Pass4sure dumps

    Code One, previously named Java One, is one of the largest conferences for software developers. While it was primarily focused on Java programming, this year it was opened to other languages. The reason for this change became discrete during one of the keynote presentations. Oracle, relish Microsoft, IBM, and Amazon, reckon cloud services a large section of what they proffer to their clients. The cloud is not restricted to Java and so this year neither was the conference.

    The first three years that I attended I participated on several panels. This meant that I got to speak for 5 minutes, showed three slides, and qualified for free admission to the conference that normally costs around $1500. In my fourth year, I submitted two proposals, both related to teaching and NetBeans, that were accepted. This year, I submitted four proposals, of which three were accepted.

    A few years ago, I was advised by Geertjan Wielenga, a product manager for NetBeans and now Oracle Jet, who had invited me to the panels and now a superb friend, that there were two approaches to getting a session accepted. The first is to gain your session held on the Birds of a Feather or BOF track. These sessions are held in the evening. They are also known as notoriously poorly attended, so far fewer potential speakers submit to this track. The second piece of recommendation that Geertjan gave me is to gain a catchy title.

    With this recommendation in intellect I submitted the following:

    BOF Track:

  • Don’t reply the Phone During Your Screen Cast!
  • Got a Gig Teaching Java? You Should subsist Using Apache NetBeans in the Classroom
  • Let’s subsist Honest, There Are More Java Villains Than Java Champions
  • DEV Track (during the day)

  • Running their Robot Overlords with Jakarta EE
  • The session on screencasting was not accepted but the other three were.

    My career that started some 40 years ago in the industry was one in which potential clients would interrogate me if I could execute a specific coding task. I would intermission to reckon the request and then assure the potential clients that I could. I once worked for three years coding PL/1 on the IBM PC — despite the fact that I knew nothing about that language when I accepted the gig. You gain to pay the bills and I had a juvenile family. It did work out, at least until the client’s parent company went bankrupt.

    As a teacher, and along with my fellow instructors, I gain institute myself needing to learn unusual technologies. The determination to seize on something unusual is necessary to provide their students with the lore and skills to find employment upon graduation. If there is one constant in software development, it is that there is no constant. This is what I gain enjoyed most about this field.

    Got a Gig Teaching Java? You Should subsist Using Apache NetBeans in the Classroom

    The same holds suitable for some of my submissions to Code One. Talking about NetBeans in education was the light one. I spend it in total my courses and for the spend case of training Java developers, I feel strongly that it is the best IDE. My other two accepted sessions could best subsist described as Conference Driven Development.

    Let’s subsist Honest, There Are More Java Villains Than Java Champions

    In the Java Community, there is a designation called Java Champions. A Java Champion is someone who has demonstrated leadership, innovation in Java development, and the writing of highly regarded books or open-source software. They are a driving force in the Java community. I was 0/3.

    That’s how I came up with For Let’s subsist Honest, There Are More Java Villains Than Java Champions. Not everyone is a programming god. Not every piece of code is written to best practices using the example design pattern. So, I decided to conclude a humorous presentation on some of the groundwork practices that developers employ to bag the job done. It was to subsist an homage to the journeyman developer. The veracity is I saw it as a standup routine with PowerPoint slides. This was something I gain never done. I can bag the odd smile from my students and even a laugh or two, but 45 minutes of standup was going to subsist outside of my console zone.

    Running their Robot Overlords With Jakarta EE

    Two years ago, I encountered a company called Dexter Industries. They sold educational hardware for the Raspberry Pi computer. One of their products is the GoPiGo3 robot car. They had software in Python, C, and some other languages, but they did not gain a formal offering in Java. I offered to work to produce the necessary Java programs to advocate the car working with my students in an extracurricular activity in return for getting some cars for free. The software was going to subsist open source. To my surprise, I could not interest my students in programming this ‘toy’ and so the two free robots Dexter sent me gathered dust on a shelf.

    That is how I came up with Running their Robot Overlords with Jakarta EE. The existing software in the other languages was meant to subsist used in applications that would accelerate on the car’s Raspberry Pi. I thought it would subsist more entertaining to create a hosting platform in Java Enterprise and then control the car remotely either from JSF web pages, RESTful services, websockets, or possibly even microservices. This is truly an example of Conference Driven Development. I won’t Go into the details suffice to shriek that I expanded my lore of Enterprise Java, now called Jakarta EE, pass beyond what I expected when I wrote the proposal. It turned into a presentation more on EE than robotics. After probably more than 100 hours, I developed the necessary code to conclude most of what I set out to, total for a 45-minute presentation. I was silent working on software issues for the presentation on the flight to San Francisco and even worked a few more hours on it in my hotel.

    When the conference began, I was ready. I had what I thought were three excellent sets of PowerPoint slides. I tested the robot and it worked flawlessly. After a session I attended that presented some other robots in the poorly lit conference rooms, I went to Target and bought a minuscule desk lamp so that I could gain a spotlight on my car. I was prepared for every eventually except one.

    Monday Evening BOF

    My first session was the Let’s subsist Honest, There Are More Java Villains Than Java Champions BOF on Monday evening. I had 47 attendees approach to hear me, a number that I was told was remarkable for a BOF. Unfortunately, total the rooms in the Moscone Center, where the conference is held, holds 300 seats. Still, I knew it was a superb turnout.

    Making comical at Code One.

    I nailed it. I didn’t stand on the podium but walked around the room. I was given a wireless microphone, but I never turned it on. I gain a stentorian voice and without a plenary room, there was no requisite for amplification. I opened with a Dudley Do-Right cartoon from the 60s that the attendees, total born long after the cartoon was made, institute funny. This warmed up the squash as I intended. With my remote in hand, I went thru the 18 slides and those who attended laughed. They laughed at the perquisite places and clearly were having a superb time. I finally understand why some people become standup comedians. The thrill of an engaged audience is better than any drug. Don’t bag me wrong, I won’t subsist quitting my day job to execute at comedy clubs. This humor requires an audience of software developers. Still, given the opportunity, I’d treasure to conclude it again. I left the Moscone center that night with a staid case of swollen ego and head.

    Tuesday Evening BOF

    Tuesday evening was my Got a Gig Teaching Java? You Should subsist Using Apache NetBeans in the Classroom BOF session. This is when I discovered the one contingency I could not gain a scheme B for. No one showed up, zero, zip, devoid of humans. I knew that this is always a possibility for the BOF track and while I took it in stride it did deflate my mood from the previous night. On Thursday evening after the conference ended I was at a house party held by some people I became friends with from previous conferences known as the UsualSuspects. As I walked around the house I came across a few people talking when one of then told the account of the session no one attended, and that the speaker actually tweeted about it. One of the people knew me and he exclaimed: “Oh, you’re talking about Ken." I guess I’m infamous for something.

    Wednesday Morning DEV The GoPiGo3 under the spotlight

    Wednesday morning was my Running their Robot Overlords with Jakarta EE DEV session. Daytime sessions are tremendous time. The session went off without a hitch. I even had to abridge it significantly when, after explaining my project and going thru the first experiment/demo, I noticed I had only 10 minutes left and four more demos. I had a scheme B and one of my experiments showed a range of Java acronym frameworks that I was confident would subsist unusual and a novel for those attending. It was a success even though I had prepared a two-hour presentation and not a 45 minute one. When I briefly spoke with some of the attendees after the session, they expressed how much they enjoyed the session and that I had inspired them. The only downer was that only nine attendees came, sigh. I guess someone must give sessions that, despite the hopes of the committees that select sessions, fails to attract attendance. I just wish it wasn’t two of my sessions.

    Being eloquent when talking about the GoPiGo3

    I gain said, semi-seriously, to people I know at the conference that when I am in the classroom I am most likely the smartest person in the room. At Java One/Code One, I’m likely the dumbest person in the room. This year, I wanted to prove them wrong. I speak in front of students almost every day, and I will never subsist accused of being shy. Yet, I was truly nervous this year. Here I was trying my hand at standup and presenting technical EE. Was I going to compose a fool of myself?

    I am confident total three presentations were up to the standards required of by Code One. Still, there is some disappointment that my sessions did not inspire more (or any) attendees to approach and remark what I had to say.

    Duke’s selection Award for Innovation Awarded to Apache NetBeans

    Not everything was a bummer. I attended some excellent sessions. I am a proponent of NetBeans and a member, in a very minuscule way, of the community working on it as it becomes an Apache rather than Oracle project. At Code One, they hand out an award called the Duke’s selection for Innovation, and this year’s was handed out to the Apache NetBeans project. There were about 10 of us NetBeans folks who came forward at the presentation amongst the many NetBeans family members at Code One and as a group, they accepted the award. They also total got to gain a professional portrait taken, one at a time, as they held the trophy. I posted that photo of me on Twitter and within 48 hours it had 19,000 impressions. Ego almost completely restored.

    Accepting the Duke’s selection Award on behalf of the NetBeans community

    There is silent another report to write. I receive funding to attend from Dawson College and Concordia University to capitalize cover some but not total of my expenses. They require a report that details what I erudite and how it will compose me a better teacher.

    So, that’s my story. I know I’m a better programmer and a better teacher for attending Code One. I gain networked with some astonishing developers from around the world and had the desultory to promote the conference DawsCon that I organize at Dawson College in January. Still, I wish I could gain inspired more people at Code One.


    She took on a man's world and conquered it - ThoughtWorks CTO Rebecca Parsons' tryst with tech | killexams.com actual questions and Pass4sure dumps

    In this week’s Techie Tuesdays, they feature Rebecca Parsons, CTO of ThoughtWorks. Simply put, Rebecca says she can’t imagine being anything but a technologist. A tremendous proponent of women in tech and inclusiveness, Rebecca’s tryst with technology is an entertaining read.

    “It's really arduous for me to imagine how long gain I been at the same company, but in some ways it doesn't feel relish it's the same company,” says Rebecca Parsons, the Chief Technology Officer of ThoughtWorks.

    “When I started, they were less than 100 people, now we're 5,000 scattered total over the globe. I've always felt the company's value systems and my value systems are aligned. What constitutes success in the intellect of the company and what constitutes personal success for me is aligned. I respect the people I work with, I respect the culture we've built. So, I feel relish I can tarry here, conclude superb work and compose a difference.”

    Rebecca-Parsons Rebecca-Parsons

    That probably best explains Rebecca Parsons’ life at ThoughtWorks. In interactions with tech-leaders over the years, I’ve institute profound respect for the culture at ThoughtWorks. And when I meet Rebecca, I remark her embodying that spirit and value system. Her journey at ThoughtWorks has shown her ardor for technology, commitment to thrust boundaries and seize ThoughtWorks to the next level.

    ‘I always knew I'd bag PhD in something’

    Rebecca was born in Oconomowoc, southern Wisconsin, US. Her father was a priest and a professor, while her mother was a social worker. She characterises herself as a tomboy and spent much time climbing trees, swimming in the lake, and ice-skating on frozen lakes.

    Rebecca grew up in a theological seminary, and recalls reading several books as a child. “When I was young, I always knew I'd bag a PhD in something, just didn't know what.”

    She moved to Peoria, Illinois, when she was 13 years obsolete after her father was elected as the bishop. That was a difficult time for her as she had to change schools and conform to different elementary school systems from Wisconsin to Illinois. There was some repetition of what she had already studied and realising this, her algebra teacher in the ninth grade gave her a copy of the text reserve for the programming class and asked her to learn programming. Rebecca fell in treasure with programming – this was the programming language PL-1.

    Computer Science and Economics

    Rebecca joined the University in Peoria at the age of 17 under the early admission programme. At 18, she started as a cooperative education student working at the Caterpillar tractor company. She graduated after three and a half years with a degree in Computer Science and Economics. At that time (1980-81), the computer science degree was more of an information systems degree. In university, she coded in PL-1, Fortran, COBOL and IBM-360 assembly language.

    At the university, Rebecca worked on a project as section of the combined compiler and operator course, where she wrote an operating system in Fortran for a unusual CDC computer.

    Related read - The making of Jyoti Bansal - from a minuscule town in Rajasthan to building a multibillion-dollar tech company

    Caterpillar -II

    After graduation, she got job offers at Caterpillar from both its Computer Science and Economics departments. She recalls, “I thought if somebody would pay me to read Wall Street Journal, then why wouldn't I seize the job in Economics.”

    Instead, she took up the computer science job because there was something about the technology job that seemed to interest her. At Caterpillar, she programmed in PDP-11 assembly language while working on warehouse automation, and her team replaced an obsolete IBM-1800 with PDP-11 machine. She did almost total the programming to control systems for the cranes in the warehouse, and for the system that decided how loads went on conveyer belts.

    The systems were designed with Allen Bradley programmable controller, which talks to the actual hardware and the programmes Rebecca worked on talked to the Allen Bradley system for the conveyers and also directly to the cranes. This was the first or the second automated warehouse in the world.

    Rebecca while she was a Professor Rebecca while she was a Professor

    Keep learning, preserve moving

    Rebecca moved to Dallas, Texas, to work for Mastec Semiconductors as a systems person in the computer-aided design group. There she learnt C programming language, VMS operating system and UNIX. She wrote a scheduling communication system that would allow an engineer to submit a job, and accelerate them on the convex computer to bag results. She says, “At one point of time, I was working on 11 different hardware platforms with seven different operating systems. So, I got a lot of desultory to learn the low-level systems aspects of different architectures.”

    She also worked at Amdahl Communications, a wholly-owned subsidiary of Amdalh. They built communication switches and worked on the C programming language. Rebecca wrote smart filters for alarms so it would subsist easier to operate large networks

    When she moved to Dallas, she enrolled for a section time master’s programme in Computer Science at the University of Texas. Eventually, she realised she needed to enrol for the plenary time programme, so she stopped working in 1987 and went to Rice University in Houston.

    Graduate life and research @Rice University

    At Rice University, Rebecca was fascinated by a talk given by a brace of researchers from the University of Wisconsin. She recalls, “They came up with a pass of reasoning about optimisation for vector and parallel programmes. At that time, Rice University was well known for a lot of research in vectorising compilers. I went up to the professor and later I ended up working under him on 'Semantics of programme dependence graphs'.”

    The programme dependence graph is an internal representation that was used by compilers to optimise programmes. Rebecca developed both denotational semantics and operational semantics for the programme dependence graph. Then, based on operational semantics, she developed an equation calculus that allows one to prove the correctness of optimisations.

    “Optimisation is basically changing the structure of the programme to compose it accelerate faster but you would gain to remark that you don't change the significance of the programme.”

    Related read - The untold account of Alan Cooper, the father of Visual Basic

    Los Alamos National Laboratory

    Rebecca’s interest branched out a bit when she went to Los Alamos National Laboratory in 1992. She was on a director's post doctoral fellowship for two-and-a-half years. When she started, she couldn't bag her security clearances so she worked from the outside, with molecular biologists. She solved their fragment assembly problem in a human genome project using genetic algorithms.

    This is also how she got involved in evolutionary computation and artificial intelligence. Rebecca joined DECUS (Digital materiel Computer Users' Society) in 1983, and worked on AI SIG because of her interest in artificial intelligence.

    She worked on how to compose it easier for people to write some scientific programmes in C++. There was a system called Rose, which was a library that people could spend to write scientific programmes. She built some software that would allow the Rose library to subsist optimised.

    She also did some work in Haskell programming language, specifically around modelling reservoirs for oil and other things.

    “At that time, if you didn’t bag into academia immediately after finishing your PhD, it would subsist very difficult to later bag into it. So, I gave it a try. I loved the teaching, I hated the grading and I realised that I was not cleave out to subsist an academic and was more of a practitioner.”

    Rebecca with her family Rebecca with her family

    ThoughtWorks journey – beginning

    One of Rebecca’s friend from DECUS was working at ThoughtWorks and asked her to link the company. “The timing was faultless as I wasn't gay doing what I was doing then. ThoughtWorks, at that time, was less than 100 people. I was really intrigued by the founder and people at the company. I liked the notion of joining a consulting company because I bag bored very easily.”

    Rather than working for the same company doing the same thing on the same technology stack, she could Go to different projects, work on different technologies/applications, different domains. That appealed to her desire to learn more.

    Ironically, the first project she worked on at ThoughtWorks was for the financing division of the Caterpillar tractor company. After a year, she went to work in London and helped start the company’s office in the UK. She stayed in the UK for three-and-a-half years and worked on a brace of projects in US before coming back to UK. Rebecca returned to the US after being named the Chief Technology Officer of the company.

    Also read - The untold account of Orkut Büyükkökten—the man who built world’s largest social network before label Zuckerberg

    Key projects before being the CTO
  • Getting finance express, the application for Caterpillar into production– This was basically a lease processing system. The company used agile software evolution techniques so there was a lot of test automation. The system was built in a very early version of Java, and it had different primary modules to exploit interfacing with some external systems relish the credit scoring system.
  • ThoughtWorks redid the store systems for Dicksons store group in UK- Rebecca worked on upgrading and deployment of the unusual version of software across total the stores and tills. There were 14,000 different tills across stores and the gross system was built in Java. The company used WebSphere and Oracle in the central servers, whereas the distribution software was from computer associates.
  • Rebecca's family with a couple Rebecca's family with a couple

    Post ThoughtWorks CTO era

    When Rebecca became the CTO of ThoughtWorks in 2009, there wasn't any CTO before her. Founder Neville Roy Singham had been acting in several roles and ThoughtWorks hired many smart people and a traditional top-down CTO who told people what to do, would not work. Realising this, Rebecca formed a Technology Advisory Board (TAB) for which she selected people from across different offices.

    “The notion was to work with the group and settle what technology they should subsist working on, from research perspective or adoption. That was the group that started Technology Radar.”

    As a group, the team asked:

  • What are the sharp tangy technologies?
  • What are technologies that the tech community feels are cool?
  • After compiling these lists, they decided to publish it for others (as a Technology Radar).

    With TAB, Rebecca wanted to formalise the influence of technology in the management of the organisation. As the company got bigger, it needed more people who understood the mechanics of running a business. “As countries (offices) got more autonomy, they had a head of technology in each country so that technologists continue to gain a voice in trade decision. Because they wanted to compose confident that the technology remains at the heart of who they were, it was always their differentiator.”

    You may also relish - Will over skill -- account of Vivek Vaidya and his $700 M startup exit

    Evolution during the years

    The role of CTO at ThoughtWorks is to remark into both trade and technology determination making.

  • First two years, Rebecca was internally focused on figuring how to work with different parts of the businesses.
  • From 2011, around 70 percent of her time was client facing, and she got actively involved in public speaking.
  • As the company continued to grow, much of what she was doing early on was taken up by the head of technology in different countries. More recently, they formed the office of the CTO as they got more clients, more technology heads, more conferences, and needed to dispense what she was doing.
  • Qualities that helped in the current role

    Rebecca is the voice for technology organisation in the company. She makes confident to communicate about technology in a pass that the relaxation of the trade understands and here, she believes her economics degree has approach handy.

    “I bag bored easily, I treasure to learn. You can't subsist the CTO without constantly learning because you'll subsist out of date very soon. And then it comes down to being able to build teams that want to work together and embody that ardor for continuously improving.”

    Rebecca Parsons at GHIC2017; Photo Credit: @schsravanthi Rebecca Parsons at GHIC2017; Photo Credit: @schsravanthi

    Culture at ThoughtWorks

    According to Rebecca, ThoughtWorks doesn't only hire smart people, but those who are passionate about technology and about their craft. “We're a very collaborative culture where people will partake their experiences of working on different technologies. So, it's a lot about taking the collective wisdom of 5,000 ThoughtWorkers across the globe and filter that down to the investments we're going to make.”

    ThoughtWorks boasts of the culture of collaboration and teamwork, the willingness to partake and interrogate questions and explore, and constantly striving to improve. “When they figure something out, they want people to know about it. They want to continuously help how the industry delivers the software.”

    Much of her role as CTO is to create and foster an environment of team work and collaboration and advocate people who want to bag their ideas out there.

    Also read - How Shashikant Khandelwal is making Facebook ads relevant for over a billion people

    Challenges

    For most of the company’s history, ThoughtWorks has been the expert in total the technologies that it needed to unravel problems. But the technology landscape is getting increasingly complex. “Even with how much we’ve grown, there are going to subsist things they just can't conclude anymore. The footprint of the technology landscape is expanding and they requisite to figure out how to work with other organisations to complement the skills they bring.”

    “So, there are a lot of decisions to subsist made, where conclude they spot those bets and who'll subsist the perquisite partners for us to subsist working with to complement their skillsets.”

    When she started, more than 80 percent of ThoughtWorks employees were developers, and now the company has a significant number of designers, product people, and domain-focused workforce. The company has to work on how bag people with different skill sets together and subsist a section of its strong culture. “To some extent, they gain to broaden their conception of who they are without deluding the power of who they are.”

    Women in tech

    Rebecca Parsons receiving the Anita Borg Award, 2016 Rebecca Parsons receiving the Anita Borg Award, 2016

    One of the things that has Rebecca very passionate about women in tech is the first CTO panel that Anita Borg Institute set aside up at the Gracehopper celebrations. One of the students on Rebecca’s table from South East Asia said – “I mediate I requisite to find a unusual advisor because my advisor told me that I was taking a spot of a man and I requisite to Go home and compose babies relish I was supposititious to.”

    “We requisite to preserve fighting some of these cultural biases that exist.”

    Rebecca recalls an incident when she was at the university and a professor said women were incapable of understanding computer science. “You just can't conclude things relish that anymore. Things gain improved because it's no longer acceptable in workplaces and society to shriek things relish that.”

    Rebecca believes herself and many others at Thoughtworks to subsist geeks and passionate about technology. “I cannot imagine not being in the technology industry. But for a lot of men it is just a job - a well-paid job to compose a superb living.”

    Rebecca believes that as a woman in technology, if you're not really passionate about it, at some point you're just going to bag tired of the environment. Over the terminal year and a half, she has had two part instances where she had to appeal to friends because she was being harassed. “And that's me, I'm not a 25-year-old who doesn't know their pass around the world. What would it subsist relish for people who are just coming in."

    Sub-conscious color and identity crisis

    According to Rebecca, human beings suffer from a sub-conscious bias. But the problem is how does one cope with the fact that color exists and what they can conclude to mitigate the bias. She believes that they gain to try to actively work against that color and there's a long pass to go.

    “We're in some kind of identity juncture as an industry, the tech industry really wants to believe there is meritocracy, but there is not. Because it's not a plane playing field."

    She recalls an incident when she was at a conference where a woman gave a talk which wasn't very good. Later, a man who was attending the conference tweeted – “’Look, this is what happens when you focus on diversity, you bag groundwork talks’. Lots of men over the years gain given groundwork talks, but a groundwork talk by a man is not an indictment of total men's aptitude to speak. And yet, this happens.”

    “It's that dichotomy - you can give a groundwork talk and it's not going to impact another man, but if I gave a groundwork talk, women speakers bag a groundwork name. As an industry, they requisite to change this.”

    Related read - Meet Kiran Bhat—the man who engineered Hulk and Tarkin to win 2017 sci-tech Oscar

    Hiring the perquisite talent

    Rebecca looks for following in candidates while hiring a techie:

  • Passion for technology- She asks them about things they've worked on, their opinions on technology. One can narrate when somebody gets excited about it.
  • Open minded about trying unusual technologies- There's no one faultless technology so one has to subsist open minded.
  • One who can collaborate- Even though ThoughtWorks hires specialised people, they don't want to hire lone wolves because the company always work in teams.
  • Decision making and value system

    Rebecca tries to evaluate each aspect before taking a decision. She is mostly driven by the following values:

  • Wanting to conclude the perquisite thing
  • Fairness
  • Desire to continue to learn and develop
  • Empathy
  • Inclusiveness
  • Open-mindedness
  • For Rebecca, technology is a means to an end.

    “I'm certainly not a tech utopian but I'm not a tech dystopian either. Technology is quite powerful. I find it fascinating. With respect to technology, I imagine myself sitting on the fence between theory and practice.”

    For now, she would relish to continue to compose an impact in technology and diversity.

    You can supervene her on Twitter or connect on LinkedIn.


    How IBM And Red Hat, Plus Microsoft, Are Driving Cloud Transformation 2.0 | killexams.com actual questions and Pass4sure dumps

    IBM and Red Hat are bullish on the $1-trillion hybrid-cloud market opportunity, says IBM CEO Ginni Rometty.IBM

    (Note: After an award-winning career in the media trade covering the tech industry, Bob Evans was VP of Strategic Communications at SAP in 2011, and Chief Communications Officer at Oracle from 2012 to 2016. He now runs his own firm, Evans Strategic Communications LLC.)

    CLOUD WARS -- IBM’s blockbuster acquisition of Red Hat for $33.4 billion to create a hybrid-cloud powerhouse signals a massive shift in the cloud-computing industry away from vendor-driven technology-first approaches and toward a customer-centric model that offers C-level execs strategic and high-value digital-business capabilities.

    Just as Henry Ford is rumored to gain said more than 100 years ago that car-buyers can gain any color they want as long as it’s black, too many cloud providers in today’s world gain boxed corporate customers into closed and proprietary cloud systems that also are unable to proffer simple connections into traditional on-premises technology.

    That’s because most first-generation cloud services were quite intentionally set up in isolation from not only those on-premises systems but also from other cloud services, partly in a land-grab effort and partly because the nature of first-gen solutions are by nature narrow, specific and fragmented.

    But at some point, total those Balkanized clouds, and total that “old” on-premises stuff (that silent runs most of the world’s trade processes and manages most of its data), and total the competing unusual cloud technologies, and total that fragmentation exposed an underlying disaster for corporate customers: too much complexity, too much cost, too many limited views of their operations, and too much time wasted in trying to compose total that incompatible stuff work together.

    But the hybrid cloud approach pushed very aggressively by IBM and Red Hat as section of their announcement has the promise to seize trade leaders beyond total that fritter and frustration because, as its very title implies, the hybrid cloud is specifically intended to operate across diverse platforms by deploying open solutions and technologies.

    Cloud-market leader Microsoft has to date been the most-bullish and visible proponent of the hybrid cloud. More than a year ago, here’s how CEO Satya Nadella described the unified-architecture approach that underscores the hybrid cloud:

    “We don't mediate of their servers as discrete from their cloud," Nadella said on an earnings convoke earlier this year. "In other words, this smart cloud and the smart edge is the architectural pattern for which they are building. Whether it's SQL Server 2017 or it's Windows Server, or the container service, everything that they conclude assumes the distributed computing will actually remain distributed.

    "And it turns out that it's helpful to mediate about it that way, both for customers who are rationalizing their portfolios of apps that the lift-shift modernizes to what they accelerate in their data centers, or in their data centers, but also forward-looking unusual workloads."

    And I believe that trade leaders are going to become extremely bullish on this hybrid concept because it very directly addresses their primary objectives and smart points—what’s the best pass to scramble their applications and workloads to the cloud rapidly, cost-effectively and securely?—without asking them to spend a few more years and many millions more dollars untangling the train of Gordian Knots confounding their efforts to scramble rapidly into the world of digital business.

    IBM CEO Ginni Rometty went so far as to bill the hybrid cloud “an emerging $1 trillion market,” noting that on dispassionate businesses are running 1,000 applications and that disconnected clouds—in some cases as many as 16—have sprung up within companies whose objectives are simplicity and speed, not endless complexity and fragmentation.

    “We gain 90,000 cloud architects to accelerate this movement,” Rometty said in a conference convoke with pecuniary analysts that also featured Red Hat CEO Jim Whitehurst.

    While such calls with pecuniary analysts are often parch and tightly scripted, Rometty and Whitehurst were almost effusive in emphasizing the various benefits of the deal:

  • It’s not about “cost synergy, but about growth synergy”;
  • There’s no overlap in product lines;
  • Red Hat will retain the Switzerland-like attitude of objective independence for its many partners and the 8,000,000 developers that Rometty said spend the Red Hat Linux platform;
  • IBM’s massive Services trade will drive both scale and industry expertise for Red Hat’s hybrid-cloud, container and related technologies; and
  • “There is something in here for every section of IBM,” said Rometty in framing out the widespread impact Red Hat will gain on IBM.
  • One large customer of both IBM and Red Hat was also quite bullish on the deal.

    “RBC views technology as a strategic enable in creating noteworthy customer experiences so we’ve been keen investors in technology and gain been aggressively pursuing their cloud strategy,” said Royal Bank of Canada CIO and group head of technology and operations Bruce Ross.

    “We gain long relationships with both IBM and Red Hat and both relationships gain been vital for us, and they remark this deal as very superb for the cloud marketplace because it allows IBM to deliver more effectively on the hybrid cloud.”

    The IBM-Red Hat deal is "really captious for their bank because it creates more choices for us," says Royal Bank of Canada CIO Bruce Ross.RBC

    Ross emphasized RBC’s requisite for accelerate in getting advanced digital capabilities to market more rapidly—RBC does about 10 upgrades per year to its mobile app, called NOMI—and said Red Hat would capitalize IBM become “more of a player in DevOps” and compete more aggressively with the tremendous guys relish Amazon and [Microsoft] Azure and Google.

    “That’s really captious for their bank because it creates more choices for us,” Ross said. “And for IBM and Red Hat, both companies bag a lot out of it.”

    For IBM, its unmatched legacy and expertise in enterprise software of every kind has been a powerful force in building its $19-billion cloud business, $7.5 billion of which comes from what I convoke its “cloud conversion” trade that helps tremendous global companies convert legacy systems to private clouds that can operate elegantly with public clouds as well as older technology.

    And as IBM and Red Hat continue to aggressively compose the case for the hybrid cloud—and perhaps flesh out Rometty’s eye-popping title that it represents a $1-trillion market—Microsoft will continue to add its plenary advocate to the effort to compose hybrid cloud the dominant and highest-value model for businesses to pursue as the core of their digital transformations.

    Microsoft opened the year with an acquisition to expand its capabilities in the hybrid cloud, a sector that I wrote had become “the centerpiece of Microsoft’s strategy” in an article called Microsoft Intensifies Focus On White-Hot Hybrid Cloud Market With First Acquisition Of 2018.

    Six months later, in Microsoft’s earnings convoke with pecuniary analysts in late July, CEO Nadella cited the hybrid cloud as absolutely essential within not only the company’s “real competitive advantage” but also its “best-kept secret," both of which I described in this excerpt from my Forbes.com article headlined Why Amazon Can’t Match Microsoft In The Cloud: 10 Insights From Satya Nadella:

    "The vision they gain always had is that distributed computing in some sense will remain distributed. So, they don’t split this into, over there is an edge computing, and over here is cloud computing." And that concept of a separate unified approach and architecture is central to everything Microsoft is doing in the cloud, Nadella said: "So if you mediate about what our real competitive advantage and differentiation is, they gain one programming model, one identity model, security, management, etc, so that modern developers as well as IT can spend the compute available from Azure Sphere to Azure. And the reality is these modern workloads in fact spend it all."

    He later added this about the company’s “best-kept secret," a service called Azure Hybrid Benefit, a licensing model that allows customers to shift dollars committed to on-premises versions of Windows Server standard and Datacenter Editions to the Azure cloud. From that article: proverb he doesn't mediate Microsoft has done a superb job at promoting this initiative, Nadella set aside it this way: "I actually mediate that these Hybrid spend benefits are being sort of their best-kept secrets. So, I’m actually hoping that going into this next fiscal year, they conclude a much better job... because of the Hybrid spend benefits across the entire workload are pretty phenomenal." Nadella went on to shriek the opening has not "really played out" and he expects significant growth to occur around this program in the future.

    Microsoft’s hybrid strategy is also explored in detail in another Forbes.com article called 10 Powerful Examples Of Microsoft CEO Satya Nadella’s Transformative Vision.

    So to IBM and Red Hat, kudos for what looks relish an exceptional deal that’s predicated on delivering huge unusual value for customers, a dynamic that is likely to translate into significant growth for the combined companies.

    And with Microsoft also driving home the value of the hybrid-cloud model, I mediate they can total subsist confident in the coming demise of the obsolete vendor-centered model of endless streams of disparate and hard-to-integrate cloud services and technologies, and the tower of unusual customer-centric cloud solutions built around open technologies.

    If IBM and Red Hat can maintain their focus on making this a huge win for customers, they stand a very superb desultory of generating an outsized triumph for themselves as well.



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