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C9050-041 Programming with IBM Enterprise PL/I

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

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

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IBM Programming with IBM Enterprise

IBM launches blockchain accelerator application for commerce | killexams.com existent Questions and Pass4sure dumps

IBM Corp. introduced these days the launch of the IBM Blockchain Founder Accelerator software to provide select 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 fresh enterprise ventures into blockchain know-how, the Founder Accelerator application provides one-on-one mentorship and attend 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, beget seen consume throughout a lot of industries together with banking monetary functions, healthcare and civil govt. each application and commerce brings separate challenges for a pile team to beat including determination of the property to be secured, how to relaxed them and often what legal and regulatory concerns deserve to be addressed.

“Blockchain is a team recreation,” pointed out Marie Wieck, generic supervisor of blockchain technology at IBM. “With the right network of participants participating on the blockchain, the advantages can likewise be exponential.”

To assist application membership, Wieck added that IBM is proactively pile options and whole blockchain ecosystems designed to operate in loads of industries. “we're sharing their advantage and substances to attend extra organizations right away installation their networks,” she noted.

Kevin Ellison, chief govt officer of Schedule1 Inc., a developer of exquisite statistics insurance end 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 impregnate and complexity of complying with regulatory requirements such as the ecu’s fresh well-known data insurance policy law. IBM would deliver to endure the identical learning used to aid Schedule1 for brand fresh blockchain ventures worried within the accelerator application.

application individuals will gain entry to agile design “bootcamps” designed to support developers right away build, iterate and launch blockchain networks in Design pondering Workshops. Technical and enterprise mentors from IBM analysis crew on creating blockchain solutions will likewise attend participants in knowing and the consume 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 construct its own know-how attainable to participants, including IBM Blockchain options by means of IBM’s cloud platform Bluemix and Hyperledger. To construct this happen, everything application individuals will acquire as much as $one hundred twenty,000 price of IBM Cloud credit to enable them to construct full consume of IBM’s ecosystem of items.

The IBM Cloud capabilities attainable to software membership comprehend document keep, a protection-prosperous ambiance for doc storage; the Provenance Engine, a complete historical past of commerce belongings and transactions with the capability to music asset owner, vicinity and standing; the technique Engine, a workflow orchestration gadget on reform 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 find the IBM Blockchain Founder Accelerator program up and operating, IBM will select eight fresh blockchain network founders by way 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 impregnate is $a hundred,000 and contains everything of the alternatives mentioned above. The tier 2 the funding impregnate 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 way which you could aid us fulfill it. SiliconANGLE Media Inc.’s commerce mannequin is according to the intrinsic price of the content material, not advertising. unlike many online publications, they don’t beget a paywall or speed banner promoting, as a result of they want to maintain their journalism open, devoid of beget an impact on or the necessity 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 — grasp loads of difficult work, time and cash. keeping the noteworthy extravagant requires the support of sponsors who're aligned with their vision of ad-free journalism content.

in case you just like the reporting, video interviews and other advert-free content material here, please grasp 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 existent 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 like to enlighten “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 way their routine goes beyond hype and hand waving to present the systems, tools, and strategies their commercial enterprise purchasers want.

i necessity 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 learning of with open source code, open languages, and open frameworks: languages like Python, Scala, and R; frameworks like Spark and TensorFlow; outfit like Apache Zeppelin™, Jupyter, and RStudio. What about groups which beget been the consume of proprietary ML tools? With support 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 state they are, with the capabilities they beget already got. machine learning is poignant too quickly to obligate groups to char time ramping up on something unfamiliar.

    A 2d aspect of “Democratizing” is reducing the barrier for americans who don’t beget the profound math or statistics history that’s been imperative in the past. I are looking to be cautious about this. I don’t necessity to suggest that the outfit accomplish away with the deserve to grasp 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 beget some simple hold close of the principles and area. An instance is the Auto data practise option (See motif 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 necessity 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 beget in intelligence information sources, share 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 accomplish you implement version manage? How are you able to install models right now? How can utility builders invoke fashions effectively? How accomplish you construct sure the models reside existing as time goes with the aid of? Most companies at the flash doing ML beget faced this challenge. a fresh 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 turn into completely unnecessary in a number of months. statistics patterns beget changed, and the model efficiency has degraded. How accomplish you alert stakeholders when the model doesn’t work that smartly anymore? How accomplish you maneuver the project of spotless models with fresh practising facts?

    those are the questions that compelled us to create a framework for managing the whole statistics science lifecycle: ingest, do together, build, installation, monitor, and normally enrich. Integration with GitHub and GitHub commercial enterprise gives the competence 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 existent work of brainstorming, characteristic engineering, and mannequin design — and as a substitute forced to control routine tasks that could be 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 satisfactory 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 stay away from poignant facts round) and assembly efficiency or safety SLAs that sure platforms give.

    it could construct 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 do 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 tangled mannequin for fraud detection. it would construct experience to dramatically speed up practicing on power machines leveraging GPUs and the extravagant 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 right into a CICS in-transaction denomination on the mainframe for sub-millisecond scoring of a credit card transaction. These consume cases want highest interoperability and a unified user event across separate environments.

    healthy-for-purpose ML is a tall order, however sure core ideas follow, together with bringing desktop researching capabilities native to plenty of systems and techniques. that you would be able to set up your computing device studying models the state 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 denomination a few. additional, their Kubernetes primarily based ML atmosphere can likewise be stood up on infrastructure from a whole 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 commerce Platform for ML

    We brought everything 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 consume case, Watson photo recognition produces a collection of facets that feed into downstream customized computing device learning fashions in DSX that predict pile energy effectivity. In a 2d consume 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 consume 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 denomination core.

    And additionally..

    we beget integration no longer just with the IBM portfolio however additionally with a wealthy ecosystem of partners like H2O, HortonWorks and so forth. for instance, integration with the HortonWorks facts Platform lets you leverage native 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 duty engineering to cognitive databases to allotted profound gaining learning of for scaling acceleration and more.

    but in the midst of everything of the features and tools that IBM is proposing to drive facts science for the business, it can likewise be smooth to forget the deeper intent their valued clientele appear to IBM within the first region. They seem to IBM because they be sensible 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 speed and what makes them thrive.

    As powerful as laptop researching is, it’s a myth to mediate that corporations can throw data right into a black realm and find returned actionable consequences. Doing characteristic engineering and pile 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 extravagant stage of the commerce 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 experience native.


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

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

    On Monday, IBM introduced a fresh 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 commerce likewise introduced a few commerce purposes of IBM Blockchain which are both already in actuality or will quickly be deployed with the aid of a wide purview of groups, together with authentication issuer SecureKey, fiscal-services enterprise Northern beget faith, and a chinese language carbon-allowance buying and selling company.

    extra reading IBM wants to slide blockchain tech beyond Bitcoin and cash transfer The blockchain conception turned into popularized by using Bitcoin, the digital exotic money that uses a distributed ledger to track transactions, which can be established through any member of the group. in the wake of Bitcoin’s recognition, IBM and other tremendous agencies throughout a number of industries everything started molding blockchain utility to rehearse 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 select businesses to are attempting out blockchain deployments for the past 12 months. The company principally paired with Walmart late final 12 months to maneuver recollects as the retailer tracked meals and drug shipments everything over the world.

    IBM has been developing its product with the support of the Linux basis’s Hyperledger venture, to which IBM committed economic materials as smartly because the work of a couple 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 wield “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 speed a pilot application involving six Canadian banks. The program will “make it less difficult for consumers to verify they're who they are saw they are, in a privacy-superior, security-rich and efficient means.” If a consumer wants to open a brand fresh 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 fresh account can select to count on the dispensed ledger to determine that the consumer’s suggestions has been verified. The collaborating banks comprehend 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 enlighten that the consume of a allotted ledger to tune carbon allowances will enrich efficiency in the carbon market and boost its credibility. “Blockchain expertise likewise provides transparency and auditability, which assist stakeholders tackle regulatory necessities,” a press release referred to.

    checklist vivid with the aid of vintage architecture


    C9050-041 Programming with IBM Enterprise PL/I

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

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

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    My Oracle Code One 2018 Personal experience | killexams.com existent 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 judgement for this change became obvious during one of the keynote presentations. Oracle, like Microsoft, IBM, and Amazon, reckon cloud services a great section of what they present 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 satisfactory friend, that there were two approaches to getting a session accepted. The first is to beget your session held on the Birds of a Feather or BOF track. These sessions are held in the evening. They are likewise known as notoriously poorly attended, so far fewer potential speakers submit to this track. The second piece of advice that Geertjan gave me is to beget a catchy title.

    With this advice in intelligence I submitted the following:

    BOF Track:

  • Don’t reply the Phone During Your Screen Cast!
  • Got a Gig Teaching Java? You Should be Using Apache NetBeans in the Classroom
  • Let’s be 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 request me if I could discharge 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 beget to pay the bills and I had a young 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 beget institute myself needing to learn fresh technologies. The determination to grasp on something fresh is necessary to provide their students with the learning 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 beget enjoyed most about this field.

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

    The identical holds steady for some of my submissions to Code One. Talking about NetBeans in education was the smooth one. I consume it in everything my courses and for the consume case of training Java developers, I feel strongly that it is the best IDE. My other two accepted sessions could best be described as Conference Driven Development.

    Let’s be 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 obligate in the Java community. I was 0/3.

    That’s how I came up with For Let’s be 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 accomplish a humorous presentation on some of the horrible practices that developers employ to find the job done. It was to be an homage to the journeyman developer. The truth is I saw it as a standup routine with PowerPoint slides. This was something I beget never done. I can find the odd smile from my students and even a laugh or two, but 45 minutes of standup was going to be outside of my comfort 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 beget a formal offering in Java. I offered to work to yield the necessary Java programs to support the car working with my students in an extracurricular activity in recur for getting some cars for free. The software was going to be 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 be used in applications that would speed on the car’s Raspberry Pi. I thought it would be more piquant 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 case of Conference Driven Development. I won’t slide into the details suffice to enlighten that I expanded my learning of Enterprise Java, now called Jakarta EE, way 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 accomplish most of what I set out to, everything for a 45-minute presentation. I was still 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 small desk lamp so that I could beget a spotlight on my car. I was prepared for every eventually except one.

    Monday Evening BOF

    My first session was the Let’s be Honest, There Are More Java Villains Than Java Champions BOF on Monday evening. I had 47 attendees arrive to hear me, a number that I was told was remarkable for a BOF. Unfortunately, everything the rooms in the Moscone Center, where the conference is held, holds 300 seats. Still, I knew it was a satisfactory 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 beget a loud voice and without a full room, there was no necessity for amplification. I opened with a Dudley Do-Right cartoon from the 60s that the attendees, everything born long after the cartoon was made, institute funny. This warmed up the press as I intended. With my remote in hand, I went thru the 18 slides and those who attended laughed. They laughed at the right places and clearly were having a satisfactory time. I finally understand why some people become standup comedians. The thrill of an engaged audience is better than any drug. Don’t find me wrong, I won’t be quitting my day job to discharge at comedy clubs. This humor requires an audience of software developers. Still, given the opportunity, I’d esteem to accomplish it again. I left the Moscone focus that night with a serious case of swollen ego and head.

    Tuesday Evening BOF

    Tuesday evening was my Got a Gig Teaching Java? You Should be Using Apache NetBeans in the Classroom BOF session. This is when I discovered the one contingency I could not beget a end 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 humor 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 Story 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 spacious time. The session went off without a hitch. I even had to shorten 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 end B and one of my experiments showed a purview of Java acronym frameworks that I was confident would be fresh 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 expressive when talking about the GoPiGo3

    I beget 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 be 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 construct a fool of myself?

    I am confident everything 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 arrive and note 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 small 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 likewise everything got to beget 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 still another report to write. I receive funding to attend from Dawson College and Concordia University to attend cover some but not everything of my expenses. They require a report that details what I learned and how it will construct 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 beget networked with some improbable 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 beget 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 existent 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 spacious proponent of women in tech and inclusiveness, Rebecca’s tryst with technology is an piquant read.

    “It's really difficult for me to imagine how long beget I been at the identical company, but in some ways it doesn't feel like it's the identical 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 everything over the globe. I've always felt the company's value systems and my value systems are aligned. What constitutes success in the intelligence 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 like I can stay here, accomplish satisfactory work and construct 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 note her embodying that spirit and value system. Her journey at ThoughtWorks has shown her passion for technology, commitment to thrust boundaries and grasp ThoughtWorks to the next level.

    ‘I always knew I'd find 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 find a PhD in something, just didn't know what.”

    She moved to Peoria, Illinois, when she was 13 years age after her father was elected as the bishop. That was a difficult time for her as she had to change schools and appropriate 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 esteem 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 fresh CDC computer.

    Related read - The making of Jyoti Bansal - from a small town in Rajasthan to pile 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 grasp 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 age IBM-1800 with PDP-11 machine. She did almost everything 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 likewise 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 speed them on the convex computer to find 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 likewise worked at Amdahl Communications, a wholly-owned subsidiary of Amdalh. They built communication switches and worked on the C programming language. Rebecca wrote intelligent filters for alarms so it would be easier to operate great 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 full 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 couple of researchers from the University of Wisconsin. She recalls, “They came up with a way 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 construct it speed faster but you would beget to note that you don't change the signification of the programme.”

    Related read - The untold Story 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 find 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 likewise how she got involved in evolutionary computation and simulated intelligence. Rebecca joined DECUS (Digital outfit Computer Users' Society) in 1983, and worked on AI SIG because of her interest in simulated intelligence.

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

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

    “At that time, if you didn’t find into academia immediately after finishing your PhD, it would be very difficult to later find into it. So, I gave it a try. I loved the teaching, I hated the grading and I realised that I was not reduce out to be 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 connect the company. “The timing was flawless as I wasn't joyful 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 conception of joining a consulting company because I find bored very easily.”

    Rather than working for the identical company doing the identical thing on the identical technology stack, she could slide to different projects, work on different technologies/applications, different domains. That appealed to her want 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 couple 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 Story of Orkut Büyükkökten—the man who built world’s largest social network before impress 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 wield interfacing with some external systems like the credit scoring system.
  • ThoughtWorks redid the store systems for Dicksons store group in UK- Rebecca worked on upgrading and deployment of the fresh version of software across everything the stores and tills. There were 14,000 different tills across stores and the whole 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 conception was to work with the group and determine what technology they should be working on, from research perspective or adoption. That was the group that started Technology Radar.”

    As a group, the team asked:

  • What are the pungent 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 beget a voice in commerce decision. Because they wanted to construct sure that the technology remains at the heart of who they were, it was always their differentiator.”

    You may likewise like - Will over skill -- Story of Vivek Vaidya and his $700 M startup exit

    Evolution during the years

    The role of CTO at ThoughtWorks is to stare into both commerce 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 deal what she was doing.
  • Qualities that helped in the current role

    Rebecca is the voice for technology organisation in the company. She makes sure to communicate about technology in a way that the relaxation of the commerce understands and here, she believes her economics degree has arrive handy.

    “I find bored easily, I esteem to learn. You can't be the CTO without constantly learning because you'll be out of date very soon. And then it comes down to being able to build teams that want to work together and embody that passion 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 share 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 share and request questions and explore, and constantly striving to improve. “When they motif 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 support people who want to find their ideas out there.

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

    Challenges

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

    “So, there are a lot of decisions to be made, where accomplish they state those bets and who'll be the right partners for us to be 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 find people with different skill sets together and be a section of its strong culture. “To some extent, they beget 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 do up at the Gracehopper celebrations. One of the students on Rebecca’s table from South East Asia said – “I mediate I necessity to find a fresh advisor because my advisor told me that I was taking a spot of a man and I necessity to slide home and construct babies like I was supposed to.”

    “We necessity 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 accomplish things like that anymore. Things beget improved because it's no longer acceptable in workplaces and society to enlighten things like that.”

    Rebecca believes herself and many others at Thoughtworks to be 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 construct a satisfactory 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 find tired of the environment. Over the last year and a half, she has had two separate 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 way around the world. What would it be like for people who are just coming in."

    Sub-conscious bias 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 bias exists and what they can accomplish to mitigate the bias. She believes that they beget to try to actively work against that bias and there's a long way to go.

    “We're in some kind of identity crossroad as an industry, the tech industry really wants to believe there is meritocracy, but there is not. Because it's not a even 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 find horrible talks’. Lots of men over the years beget given horrible talks, but a horrible talk by a man is not an indictment of everything men's competence to speak. And yet, this happens.”

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

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

    Hiring the right 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 inform when somebody gets excited about it.
  • Open minded about trying fresh technologies- There's no one flawless technology so one has to be 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 accomplish the right 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 like to continue to construct 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 existent 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 commerce 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 beget said more than 100 years ago that car-buyers can beget any color they want as long as it’s black, too many cloud providers in today’s world beget boxed corporate customers into closed and proprietary cloud systems that likewise are unable to present 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 likewise from other cloud services, partly in a land-grab exertion and partly because the nature of first-gen solutions are by nature narrow, specific and fragmented.

    But at some point, everything those Balkanized clouds, and everything that “old” on-premises stuff (that still runs most of the world’s commerce processes and manages most of its data), and everything the competing fresh cloud technologies, and everything that fragmentation exposed an underlying catastrophe for corporate customers: too much complexity, too much cost, too many limited views of their operations, and too much time wasted in trying to construct everything 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 pledge to grasp commerce leaders beyond everything that waste and frustration because, as its very denomination 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 separate from their cloud," Nadella said on an earnings call earlier this year. "In other words, this intelligent cloud and the intelligent 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 accomplish 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 speed in their data centers, or in their data centers, but likewise forward-looking fresh workloads."

    And I believe that commerce 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 way to slide 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 series of Gordian Knots confounding their efforts to slide 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 unprejudiced 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 beget 90,000 cloud architects to accelerate this movement,” Rometty said in a conference call with monetary analysts that likewise featured Red Hat CEO Jim Whitehurst.

    While such calls with monetary analysts are often dry 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 posture of objective independence for its many partners and the 8,000,000 developers that Rometty said consume the Red Hat Linux platform;
  • IBM’s massive Services commerce 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 beget on IBM.
  • One great customer of both IBM and Red Hat was likewise 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 beget been aggressively pursuing their cloud strategy,” said Royal Bank of Canada CIO and group head of technology and operations Bruce Ross.

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

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

    Ross emphasized RBC’s necessity for speed 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 attend IBM become “more of a player in DevOps” and compete more aggressively with the spacious guys like Amazon and [Microsoft] Azure and Google.

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

    For IBM, its unmatched legacy and expertise in enterprise software of every kind has been a powerful obligate in pile its $19-billion cloud business, $7.5 billion of which comes from what I call its “cloud conversion” commerce that helps spacious global companies transform 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 construct the case for the hybrid cloud—and perhaps flesh out Rometty’s eye-popping claim that it represents a $1-trillion market—Microsoft will continue to add its full support to the exertion to construct hybrid cloud the preponderant 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 call with monetary analysts in late July, CEO Nadella cited the hybrid cloud as absolutely needful within not only the company’s “real competitive advantage” but likewise 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 beget 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 single 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 beget one programming model, one identity model, security, management, etc, so that modern developers as well as IT can consume the compute available from Azure Sphere to Azure. And the reality is these modern workloads in fact consume 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: saw he doesn't mediate Microsoft has done a satisfactory job at promoting this initiative, Nadella do it this way: "I actually mediate that these Hybrid consume benefits are being sort of their best-kept secrets. So, I’m actually hoping that going into this next fiscal year, they accomplish a much better job... because of the Hybrid consume benefits across the entire workload are pretty phenomenal." Nadella went on to enlighten the break has not "really played out" and he expects significant growth to occur around this program in the future.

    Microsoft’s hybrid strategy is likewise 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 like an exceptional deal that’s predicated on delivering huge fresh value for customers, a dynamic that is likely to translate into significant growth for the combined companies.

    And with Microsoft likewise driving home the value of the hybrid-cloud model, I mediate they can everything be confident in the coming demise of the age vendor-centered model of endless streams of disparate and hard-to-integrate cloud services and technologies, and the surge of fresh 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 satisfactory desultory of generating an outsized victory for themselves as well.



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