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C9050-041 - Programming with IBM Enterprise PL/I - Dump Information

Vendor : IBM
Exam Code : C9050-041
Exam Name : Programming with IBM Enterprise PL/I
Questions and Answers : 146 Q & A
Updated On : December 10, 2018
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C9050-041 Questions and Answers

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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 Name : Programming with IBM Enterprise PL/I
Vendor Name : IBM
Q&A : 146 Real Questions

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IBM Programming with IBM Enterprise

IBM launches blockchain accelerator application for business | killexams.com Real 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 new enterprise ventures into blockchain know-how, the Founder Accelerator application provides one-on-one mentorship and help 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, have seen use throughout a lot of industries together with banking financial functions, healthcare and civil govt. each application and business brings distinct challenges for a building 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, general supervisor of blockchain technology at IBM. “With the right network of participants participating on the blockchain, the advantages can also be exponential.”

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

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

Schedule1, as a issuer of security and privateness options, Ellison defined, had to navigate the charge and complexity of complying with regulatory requirements such as the ecu’s new well-known data insurance policy law. IBM would deliver to endure the identical knowledge used to aid Schedule1 for brand new 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 also help participants in knowing and the use of IBM Hyperledger material, which is IBM’s blockchain solution (together with a mission hosted with the aid of The Linux basis), to benefit capabilities in blockchain techniques.

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

The IBM Cloud capabilities attainable to software membership include document keep, a protection-prosperous ambiance for doc storage; the Provenance Engine, a complete historical past of business belongings and transactions with the capability to music asset owner, vicinity and standing; the technique Engine, a workflow orchestration gadget on correct 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 get the IBM Blockchain Founder Accelerator program up and operating, IBM will choose eight new 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 charge is $a hundred,000 and contains all of the alternatives mentioned above. The tier 2 the funding charge 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 moment are accessible earlier than June 2.

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

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So what exactly is IBM doing diverse with computing device studying? | killexams.com Real 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 say “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 our method goes beyond hype and hand waving to present the systems, tools, and strategies our commercial enterprise purchasers want.

i need 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 knowledge of with open source code, open languages, and open frameworks: languages like Python, Scala, and R; frameworks like Spark and TensorFlow; equipment like Apache Zeppelin™, Jupyter, and RStudio. What about groups which have been the use of proprietary ML tools? With support for importing PMML, SPSS and other proprietary environments, we will work with latest models — proprietary or open supply — in this ambiance. presenting that diversity is our manner of meeting clients the place they are, with the capabilities they have already got. machine learning is moving too quickly to force groups to burn time ramping up on something unfamiliar.

    A 2d aspect of “Democratizing” is reducing the barrier for americans who don’t have the deep math or statistics history that’s been imperative in the past. I are looking to be cautious about this. I don’t need to suggest that the equipment do away with the deserve to take 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 have 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 need 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 have in mind 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 do you implement version manage? How are you able to install models right now? How can utility builders invoke fashions effectively? How do you make sure the models reside existing as time goes with the aid of? Most companies at the moment doing ML have faced this challenge. a new 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 have changed, and the model efficiency has degraded. How do you alert stakeholders when the model doesn’t work that smartly anymore? How do you manipulate the project of clean models with new practising facts?

    those are the questions that compelled us to create a framework for managing the whole statistics science lifecycle: ingest, put together, build, installation, monitor, and normally enrich. Integration with GitHub and GitHub commercial enterprise gives the ability 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 benefit of ingesting with a rest 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, we were seeing information science teams pulled far from their real work of brainstorming, characteristic engineering, and mannequin design — and as a substitute forced to control routine tasks that could be computerized. So we 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 our 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 good 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 moving facts round) and assembly efficiency or safety SLAs that certain platforms give.

    it could make 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 put up to cloud determine 4: ML model built and knowledgeable on-premises becomes accessible on the cloud

    In an analogous manner, consider you are engaged on a complex mannequin for fraud detection. it would make experience to dramatically speed 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 appropriate right into a CICS in-transaction name on the mainframe for sub-millisecond scoring of a credit card transaction. These use cases want highest interoperability and a unified user event across distinct environments.

    healthy-for-purpose ML is a tall order, however certain 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 place 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 name a few. additional, our Kubernetes primarily based ML atmosphere can also 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: We let them carry the tools, intelligence, and analytics to the records rather than forcing them to drag statistics slowly — and insecurely — from area to location.

    An business Platform for ML

    We brought all 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 use case, Watson photo recognition produces a collection of facets that feed into downstream customized computing device learning fashions in DSX that predict building energy effectivity. In a 2d use case, integration between decision Optimization with CPLEX and DSX brings advanced store group of workers scheduling, going beyond linear programming to quadratic services. In a third use 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 deep intent in consumer calls into the name core.

    And additionally..

    we have 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 function engineering to cognitive databases to allotted deep gaining knowledge of for scaling acceleration and more.

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

    As powerful as laptop researching is, it’s a myth to think that corporations can throw data right into a black field and get 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 business sector and on the low stage of transaction stream, law, and the like. That’s what differentiates IBM. Our 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 go past forex | killexams.com Real 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 new 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 business also introduced a few business purposes of IBM Blockchain which are both already in existence or will quickly be deployed with the aid of a wide range of groups, together with authentication issuer SecureKey, fiscal-services enterprise Northern have faith, and a chinese language carbon-allowance buying and selling company.

    extra reading IBM wants to move blockchain tech beyond Bitcoin and cash transfer The blockchain idea turned into popularized by using Bitcoin, the digital foreign 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 all 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 manipulate recollects as the retailer tracked meals and drug shipments all 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 handle “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 run a pilot application involving six Canadian banks. The program will “make it less difficult for consumers to verify they're who they are saying they are, in a privacy-superior, security-rich and efficient means.” If a consumer wants to open a brand new 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 new account can choose to count on the dispensed ledger to determine that the consumer’s suggestions has been verified. The collaborating banks include 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 say that the use 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 graphic with the aid of vintage architecture


    C9050-041 Programming with IBM Enterprise PL/I

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    Programming with IBM Enterprise PL/I

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    My Oracle Code One 2018 Personal Experience | killexams.com real 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 apparent during one of the keynote presentations. Oracle, like Microsoft, IBM, and Amazon, consider cloud services a large part of what they offer 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 good friend, that there were two approaches to getting a session accepted. The first is to have 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 advice that Geertjan gave me is to have a catchy title.

    With this advice in mind I submitted the following:

    BOF Track:

  • Don’t Answer 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 our 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 ask me if I could perform a specific coding task. I would pause to consider 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 have 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 have found myself needing to learn new technologies. The decision to take on something new is necessary to provide our students with the knowledge 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 have enjoyed most about this field.

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

    The same holds true for some of my submissions to Code One. Talking about NetBeans in education was the easy one. I use it in all my courses and for the use 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 force 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 ideal design pattern. So, I decided to do a humorous presentation on some of the bad practices that developers employ to get 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 have never done. I can get 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 our 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 have a formal offering in Java. I offered to work to produce the necessary Java programs to support the car working with my students in an extracurricular activity in return 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 our Robot Overlords with Jakarta EE. The existing software in the other languages was meant to be used in applications that would run on the car’s Raspberry Pi. I thought it would be more interesting 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 say that I expanded my knowledge 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 do most of what I set out to, all 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 have 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 come to hear me, a number that I was told was remarkable for a BOF. Unfortunately, all the rooms in the Moscone Center, where the conference is held, holds 300 seats. Still, I knew it was a good turnout.

    Making funny 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 have a loud voice and without a full room, there was no need for amplification. I opened with a Dudley Do-Right cartoon from the 60s that the attendees, all born long after the cartoon was made, found funny. This warmed up the crowd 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 good time. I finally understand why some people become standup comedians. The thrill of an engaged audience is better than any drug. Don’t get me wrong, I won’t be quitting my day job to perform at comedy clubs. This humor requires an audience of software developers. Still, given the opportunity, I’d love to do it again. I left the Moscone Center 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 have a plan 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 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 our Robot Overlords with Jakarta EE DEV session. Daytime sessions are big 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 plan B and one of my experiments showed a range of Java acronym frameworks that I was confident would be new 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 have 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 make a fool of myself?

    I am confident all 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 come and see what I had to say.

    Duke’s Choice 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 Choice 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, we accepted the award. We also all got to have a professional portrait taken, one at a time, as we 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 Choice 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 help cover some but not all of my expenses. They require a report that details what I learned and how it will make 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 have networked with some amazing developers from around the world and had the chance to promote the conference DawsCon that I organize at Dawson College in January. Still, I wish I could have 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 real questions and Pass4sure dumps

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

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

    “When I started, we were less than 100 people, now we're 5,000 scattered all over the globe. I've always felt the company's value systems and my value systems are aligned. What constitutes success in the mind 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, do good work and make 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 found deep respect for the culture at ThoughtWorks. And when I meet Rebecca, I see her embodying that spirit and value system. Her journey at ThoughtWorks has shown her passion for technology, commitment to push boundaries and take ThoughtWorks to the next level.

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

    She moved to Peoria, Illinois, when she was 13 years old after her father was elected as the bishop. That was a difficult time for her as she had to change schools and adapt 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 book for the programming class and asked her to learn programming. Rebecca fell in love 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 part of the combined compiler and operator course, where she wrote an operating system in Fortran for a new CDC computer.

    Related read - The making of Jyoti Bansal - from a small 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 take 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 old IBM-1800 with PDP-11 machine. She did almost all 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, keep 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 run them on the convex computer to get 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 chance 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 intelligent filters for alarms so it would be easier to operate large networks

    When she moved to Dallas, she enrolled for a part 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 make it run faster but you would have to see that you don't change the meaning 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 get 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 Equipment Computer Users' Society) in 1983, and worked on AI SIG because of her interest in artificial intelligence.

    She worked on how to make it easier for people to write some scientific programmes in C++. There was a system called Rose, which was a library that people could use to write scientific programmes. She built some software that would allow the Rose library to be 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 get into academia immediately after finishing your PhD, it would be very difficult to later get into it. So, I gave it a try. I loved the teaching, I hated the grading and I realised that I was not cut 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 join the company. “The timing was perfect as I wasn't happy 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 idea of joining a consulting company because I get 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 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 Mark 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 development 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 handle 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 new version of software across all 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 idea was to work with the group and decide what technology we 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 hot 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, we had a head of technology in each country so that technologists continue to have a voice in business decision. Because we wanted to make sure that the technology remains at the heart of who we were, it was always our differentiator.”

    You may also 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 look into both business and technology decision 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 distribute 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 rest of the business understands and here, she believes her economics degree has come handy.

    “I get bored easily, I love 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 ask questions and explore, and constantly striving to improve. “When we figure something out, we want people to know about it. We want to continuously improve how the industry delivers the software.”

    Much of her role as CTO is to create and nurture an environment of team work and collaboration and support people who want to get 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 all 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 we just can't do anymore. The footprint of the technology landscape is expanding and we need to figure out how to work with other organisations to complement the skills we bring.”

    “So, there are a lot of decisions to be made, where do we place those bets and who'll be the right partners for us to be working with to complement our 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 get people with different skill sets together and be a part of its strong culture. “To some extent, we have to broaden their conception of who we are without deluding the power of who we 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 put up at the Gracehopper celebrations. One of the students on Rebecca’s table from South East Asia said – “I think I need to find a new advisor because my advisor told me that I was taking a spot of a man and I need to go home and make babies like I was supposed to.”

    “We need to keep 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 do things like that anymore. Things have improved because it's no longer acceptable in workplaces and society to say 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 make a good 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 get 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 we can do to mitigate the bias. She believes that we have to try to actively work against that bias and there's a long way to go.

    “We're in some kind of identity crisis as an industry, the tech industry really wants to believe there is meritocracy, but there is not. Because it's not a level 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 get bad talks’. Lots of men over the years have given bad talks, but a bad talk by a man is not an indictment of all men's ability to speak. And yet, this happens.”

    “It's that dichotomy - you can give a bad talk and it's not going to impact another man, but if I gave a bad talk, women speakers get a bad name. As an industry, we need 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 tell when somebody gets excited about it.
  • Open minded about trying new technologies- There's no one perfect 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 do 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 make an impact in technology and diversity.

    You can follow her on Twitter or connect on LinkedIn.


    How IBM And Red Hat, Plus Microsoft, Are Driving Cloud Transformation 2.0 | killexams.com real 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 business 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 have said more than 100 years ago that car-buyers can have any color they want as long as it’s black, too many cloud providers in today’s world have boxed corporate customers into closed and proprietary cloud systems that also are unable to offer 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, all those Balkanized clouds, and all that “old” on-premises stuff (that still runs most of the world’s business processes and manages most of its data), and all the competing new cloud technologies, and all 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 make all that incompatible stuff work together.

    But the hybrid cloud approach pushed very aggressively by IBM and Red Hat as part of their announcement has the promise to take business leaders beyond all that waste and frustration because, as its very name 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 think of our servers as distinct from our 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 we are building. Whether it's SQL Server 2017 or it's Windows Server, or the container service, everything that we do assumes the distributed computing will actually remain distributed.

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

    And I believe that business leaders are going to become extremely bullish on this hybrid concept because it very directly addresses their primary objectives and pain points—what’s the best way to move our 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 move 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 average 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 have 90,000 cloud architects to accelerate this movement,” Rometty said in a conference call with financial analysts that also featured Red Hat CEO Jim Whitehurst.

    While such calls with financial 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 use the Red Hat Linux platform;
  • IBM’s massive Services business 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 part of IBM,” said Rometty in framing out the widespread impact Red Hat will have 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 great customer experiences so we’ve been keen investors in technology and have been aggressively pursuing our cloud strategy,” said Royal Bank of Canada CIO and group head of technology and operations Bruce Ross.

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

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

    Ross emphasized RBC’s need 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 help IBM become “more of a player in DevOps” and compete more aggressively with the big guys like Amazon and [Microsoft] Azure and Google.

    “That’s really important for our bank because it creates more choices for us,” Ross said. “And for IBM and Red Hat, both companies get 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 call its “cloud conversion” business that helps big 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 make 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 effort to make 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 call with financial analysts in late July, CEO Nadella cited the hybrid cloud as absolutely indispensable 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 we have always had is that distributed computing in some sense will remain distributed. So, we 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 think about what our real competitive advantage and differentiation is, we have one programming model, one identity model, security, management, etc, so that modern developers as well as IT can use the compute available from Azure Sphere to Azure. And the reality is these modern workloads in fact use 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: Saying he doesn't think Microsoft has done a good job at promoting this initiative, Nadella put it this way: "I actually think that these Hybrid use benefits are being sort of our best-kept secrets. So, I’m actually hoping that going into this next fiscal year, we do a much better job... because of the Hybrid use benefits across the entire workload are pretty phenomenal." Nadella went on to say the opportunity 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 like an exceptional deal that’s predicated on delivering huge new 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 think we can all be confident in the coming demise of the old vendor-centered model of endless streams of disparate and hard-to-integrate cloud services and technologies, and the rise of new 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 good chance of generating an outsized victory for themselves as well.



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    References :


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    IBM C9050-041 Exam (Programming with IBM Enterprise PL/I) Detailed Information



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