|Exam Name||:||Programming with IBM Enterprise PL/I|
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|Updated On||:||April 22, 2019|
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IBM Corp. is trying to provide the facts science occupation a boost through championing a new certification and launching an inner apprenticeship program today that gives young individuals with out a information technology event an opportunity to turn into knowledgeable data scientists.
The U.S. currently has greater than one hundred fifty,000 unfilled facts science jobs, in line with final summer time’s Linkedin personnel file. That’s an issue for businesses that wish to take capabilities of the sprawling assortment of information analytics tools as well as for those similar to IBM which have items to promote them.
IBM labored with The Open neighborhood, a worldwide consortium of about 625-member companies that develops open, dealer-impartial know-how requisites and certifications, on what the business mentioned is a primary-of-its-form statistics scientist certification. It’s based on peer stories and proven useful adventure, rather than standardized checks.
“It offers an goal, legitimate measure of statistics science capabilities and skills,” Martin Fleming and Seth Dobrin wrote in a put up posted today on IBM’s feel blog. Fleming is IBM’s chief analytics officer and chief economist and Dobrin is the business’s chief records officer.
IBM may be the primary enterprise to offer the certification to its own personnel, proposing three tiers of certification and support via its internal badge software.
Certifications are normal in technical fields the place virtuosity may also be measured by way of metrics comparable to test ratings. although, they may also be controversial in professions that place a premium on “gentle” potential that aren’t with ease quantified. facts science calls for a mixture of technical skills and creativity, so the peer review method is intended to measure each.
IBM also noted it has launched an inside apprenticeship program as a part of its “new collar” initiative, which aims to appoint young employees who lack common backgrounds and even college diplomas. IBM says between 10 and 15 percent of its latest new hires don’t have ordinary 4-12 months levels.
The 24-month program provides a mixture of training, mentoring and functional experience with personnel working towards stage one certification as an Open group-certified information scientist. the primary cohort of 5 college students become hired closing week from a pool of lots of of candidates. IBM intends to extend the software aggressively across the U.S. however wouldn’t specify any targets for the number of americans who may be employed.
instead of hunting for levels, IBM is after individuals “who are totally curious, have a spirit of a continuous learning and have analytics capabilities,” pointed out Ana Echeverri, an IBM information science boom strategies lead. In distinction to far off or even school room getting to know, she stated, “they have got the possibility to be a part of an excellent enterprise. It’s existence-changing.”
The software is a registered apprenticeship with the U.S. department of Labor, which gives IBM entry a lot of funding, credentialing and tax advantages. In a tight labor market, such classes also make enterprise feel, Echeverri referred to.
constructing talents internally is cheaper than paying for them on the open market, and graduates of the software tend to reside with the business. “We’ve found that these individuals are only as ready as these with superior levels,” observed Echeverri, who holds a bachelor’s diploma in desktop engineering, an MBA and a master’s in analytics.picture: IBM for the reason that you’re here …
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CAMBRIDGE, Mass., Jan. 15, 2019 /PRNewswire/ -- IBM (NYSE: IBM) today announced that IBM® MaaS360® with Watson™ has been named by way of Google as an Android enterprise suggested answer for business-owned, BYOD, and committed devices.
IBM company emblem. (PRNewsFoto/IBM corporation) (PRNewsFoto/) (PRNewsfoto/IBM)extra
Android business suggested, a Google-led program, validates commercial enterprise Mobility administration (EMM) product offerings that are developed to an increased set of answer specifications the usage of superior Android business facets that prioritize contemporary administration the way to assist enterprise customers utilize the best of Android. Android enterprise informed EMMs dwell present with the newest platform points and work intently with Google to offer constantly informed staff, verified components and trusted suggestions to make certain a constant, a hit deployment.
historically, counsel technology and security leaders have implemented cell equipment administration (MDM) and business mobility administration (EMM) options so as to support control and at ease cell contraptions in the commercial enterprise. With the introduction of laptops, desktops, wearables and information superhighway of issues (IoT) contraptions in an ever-changing range of endpoints and enterprise use instances, groups need a platform that offers visibility and manage over their endpoint and cellular ambiance: unified endpoint management (UEM). MaaS360 is the handiest platform that delivers an AI strategy to UEM to enable endpoints, end clients, and everything in between — together with apps, content, and records.
MaaS360 provides the visibility and handle IT needs to aid comfy Android smartphones, pills, IoT, and ruggedized devices in the enterprise. MaaS360 contains support for Android within the enterprise, Samsung Knox and Android version 2.2 and better. With identical-day aid for the newest Android OS edition, Pie (9.0), users benefit fast entry to the latest protection and productivity functionality accessible through the platform.
"With gigantic Android business activations for MaaS360, now we have prioritized now not simplest the product roadmap to ensure our valued clientele can adopt the Android commercial enterprise solution sets, but additionally working towards and enablement for the IBM earnings and assist corporations to top-rated help the platform." mentioned John Nielsen, offering manager, MaaS360, IBM protection. "With the consistency that Android business offers consumers throughout a lot of Android producers, we do not expect the adoption style to decelerate any time soon."
MaaS360 and Android Integrations
MaaS360 turned into probably the most first UEM/EMM solutions to help the Android working equipment, starting lower back in 2010. With the free up of Android commercial enterprise zero-touch enrollment, more than a few consumers have deployed the answer leveraging Android enterprise through MaaS360. Android 9 Pie offers new performance already supported through MaaS360, similar to more suitable lock down mode, native help for shared devices, and streamlined QR code enrollment.
moreover working with main expertise carriers to support the newest platform updates, functionality and requirements, MaaS360 is dedicated to supplying a most fulfilling in classification AI and analytics adventure for IT & security authorities and their personnel. during the past yr, MaaS360 has added various function enhancements designed to help the convenience, pace, and self belief in choice-making relating endpoints and their ordinary use within the business.
the use of the UEM's cognitive capabilities, MaaS360 coverage suggestion Engine dynamically displays suggestions all the way through configuration to aid administrators verify their inputs are in alignment with that of their friends across passcode, container, restrictions, and extra. MaaS360 Assistant, the primary-ever AI sidekick for the mobile worker, is designed to support boost mobile productivity while cutting down the volume of general end-user guide inquiries. company Dashboards for Apps helps corporations track ROI on their commercial enterprise app investments, clearing up which were found, which haven't, and which can be crashing – highlighting the ones that need probably the most consideration and prioritization.
IBM MaaS360 with Watson is obtainable for a 30-day free trial: https://www.ibm.com/maas360-trial
To find out more about how IBM and Google have partnered for a success Android adoption in the commercial enterprise, be a part of our upcoming January thirty first webinar: https://event.on24.com/wcc/r/1898869/E41647FDCF214C008DE864A962F1295E?partnerref=PR
Google and Android are emblems of Google LLC.
About IBM protection IBM security offers one of the vital superior and built-in portfolios of commercial enterprise safety items and services. The portfolio, supported by way of world-fashionable IBM X-force® analysis, allows for organizations to without difficulty manipulate chance and shield in opposition t rising threats. IBM operates one of the world's broadest security research, building and start companies, monitors 60 billion security movements per day in more than a hundred thirty international locations, and has been granted more than 10,000 security patents global. For more assistance, please determine www.ibm.com/safety, comply with IBMSecurity on Twitter or consult with the IBM protection Intelligence blog.
CONTACT: Dillon Townsel firstname.lastname@example.org 512-571-3455
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IBM has been working with an software developer startup referred to as Lightbend Inc. on synthetic intelligence, cognitive and different allotted functions, most destined to run within the cloud. The startup announced this week that IBM has prolonged their collaboration by leading a $15 million funding round that also includes Intel Capital and a bunch of project capital backers.
Launched in 2011 below the name Typesafe, Lightbend changed into founded by Martin Odersky, creator of the Scala programming language. joining IBM (NYSE: IBM) and Intel (NASDAQ: INTC) within the early funding round have been Bain Capital Ventures, Blue Cloud Ventures, Juniper Networks and Shasta Ventures.
together with Scala, Lightbend's claim to reputation is a "reactive" utility building platform for constructing allotted applications. The platform leverages micro-functions along with "quickly facts" on a message-driven run time. The method is designed to help scale business functions on cloud infrastructure.
The companions mentioned IBM would extend its collaboration with San Francisco-primarily based Lightbend with the aid of integrating its hybrid cloud offerings with the Scala construction platform. those offerings consist of WebSphere and Analytics, IBM Cloud and the Watson statistics Platform. The combination is intended to aid developers the use of the Java digital computing device and linked languages reminiscent of Java and Scala.
among the many dreams of the collaboration is extending AI and cognitive applied sciences to application builders, the partners stated Monday (July 10).
The funding in Lightbend's utility building platform is designed basically to advance IBM's cognitive computing strategy as it fleshes out it Watson ecosystem. "Java and Scala are the languages of cognitive and AI building, and cognitive building is the longer term,” Bob Lord, IBM's chief digital officer, asserted in a statement announcing the funding.
The improved collaboration additionally calls for IBM and Lightbend to enhance new code and equipment for setting up Java- and Scala-based mostly cognitive functions on the Lightbend platform. IBM additionally promotes the partnership as a way for clients of its Java-based mostly Websphere utility and integration middleware to leverage their investment.
The companions prior to now introduced plans to convey micro-services to the Websphere platform. The collaborations skill Websphere users would get aid for running micro-functions, Lightbend said.
because huge data frameworks such as the Akka toolkit and runtime together with Kafka and Apache Spark are in keeping with Scala, the partnership would additionally support streaming statistics and different big statistics applications.
"This investment from IBM and the development work we’re embarking upon is a herbal progression of our work to assist superior cognitive utility development," stated Mark Brewer, Lightbend's president and CEO. "IBM brings critical code and tools to our shoppers and the Java and Scala communities. IBM’s support of Lightbend and the Reactive Platform is a validation of our shared imaginative and prescient for helping builders build distributed functions for the new world of cloud computing architectures."
concerning the writer: George Leopold
George Leopold has written about science and know-how for more than 30 years, focusing on electronics and aerospace expertise. He prior to now served as government editor of digital Engineering times. Leopold is the author of "Calculated possibility: The Supersonic lifestyles and times of Gus Grissom" (Purdue institution Press, 2016).
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The stalwart programming languages that run the world's most-used systems are due for new revisions of their international standards.
Image: jacoblund, Getty Images/iStockphoto
You have never heard of Chris Tandy, a Toronto-based programmer for IBM since 1985, but his work in standardizing computer programming languages is vital to everything you do as a software developer.
Tandy chairs the American INCITS PL22 group and is an officer in the global ISO/IEC JTC 1/SC 22 committee, which are the primary standards bodies responsible not only for pivotal languages such as COBOL, C, and C++, but also for historic ones like Ada, APL (famously named as "A Programming Language"), and Fortran. They also deal in esoterica—try your hand at coding in PL/1 or REXX.
Future versions of the COBOL standard are now entirely in ISO hands, while before it was mostly an American project, Tandy explained. The ISO working group members intend to have the next version, known as an FDIS (final draft international standard), done in 2020.
Improvements will likely include minimizing dialectic differences between the IBM, MicroFocus, and open-source GNU versions; adding JSON and XML support; adding new data types for date/time stamps; and adding/updating a variety of features such as trim/convert string functions, commitment rollback, infinite loop capability, user-defined editing, and expanded Unicode support, Tandy added.
SEE: How to build a successful developer career (free PDF) (TechRepublic)
C and C++ updates are also active, considering their huge user bases. These are the second and third-most popular languages right now, according to the latest TIOBE report. C18 is the current version of the former, with hundreds of changes and additions planned for its next release no sooner than 2022. However, in the C++ community, the language's inventor warned against feature-creep (PDF) in an open letter last year. COBOL committee members are good at transparency by posting their feature lists and timelines in public; the C and C++ committees generally don't do that, although given their much larger user bases, the future plans inevitably become public ahead of time.
And, for readers of a certain age: "I think we might be related," Tandy joked, when asked about Charles Tandy, who acquired Radio Shack in 1963 and put his own name on that company's line of TRS-80 home computers in the 1970s-1980s.
Whether IBM's Tandy entered the computer field by coincidence or familial destiny, he's happy to continue working on behalf of Big Blue and programmers everywhere. Standards may feel immaterial in the day-to-day life of a software developer, but people shouldn't take for granted the benefits of having the same look-and-feel (and syntax) when programming the same language on different machines. And just like a commercial application or a new SUV, software development projects may be held up if there is a new standard for their language coming soon, so as not to have the result be obsolete from its first day.
"What you don't want to hear," Tandy noted, "is there is no more work on your language."Best of the Week Newsletter
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Red Hat has assumed stewardship from Oracle over OpenJDK 8 and OpenJDK 11, which strengthens Red Hat's support for the Java community -- particularly enterprise Java developers.
OpenJDK 8 and OpenJDK 11 are strategic releases of OpenJDK, the free open source implementation of Java Platform, Standard Edition (Java SE). Java 8 is still the most widely used version of Java, and Java 11 is the first long-term support (LTS) version of Java.
Oracle signaled its intent to get out of the enterprise Java business when it transitioned support and maintenance of Java Platform, Enterprise Edition to the Eclipse Foundation, where it is now known as Jakarta EE.
Oracle increased to a six-month release cadence for new versions of Java in 2017. LTS versions arrive every three years. Oracle ended commercial support for Java 8 and the Oracle JDK 8 implementation of Java SE in January 2018.Serving Oracle's interests
Red Hat's stewardship of OpenJDK 11 is a win for the Java community, said Mike Milinkovich, executive director of the Eclipse Foundation, based in Ottawa.
"Both Red Hat and [parent company] IBM are going to be interested and willing to support the public and free maintenance of these Java LTS releases for a longer period than Oracle [intended]," he said.
Red Hat's OpenJDK contributions began in 2007 with the IcedTea integration project. The company was a steward of OpenJDK 7, which came out in 2011, and of OpenJDK 6, from 2013 until 2017. The OpenJDK community selected the company's technical lead on Java, Andrew Haley, as project lead for OpenJDK 8 and OpenJDK 11 in February 2019. He has been active on the OpenJDK governing board for seven years.
At the same time, Red Hat's OpenJDK 11 stewardship likely serves Oracle's interests. For starters, this move potentially slows the trend toward new OpenJDK distributions from companies such as Amazon, SAP and Alibaba.
"There are so many other companies jumping on the OpenJDK support bandwagon, which is nice to see, but very few of them really have the expertise to do full-stack support of OpenJDK," said an enterprise Java developer for a systems provider, who asked not to be named. "I feel far better about 8 and 11 being under Red Hat's stewardship than Oracle or almost any of the others. They've done more to keep Java 'honest' than just about anyone else."
Meanwhile, Oracle has little interest in older versions of Java, other than to charge customers for them, and it's happy to let Red Hat fix and maintain OpenJDK forks, said Cameron Purdy, CEO of xqiz.it, a cloud software startup in Lexington, Mass., and former senior vice president of development at Oracle.
"Companies like IBM and Red Hat are basically forced to do this. Otherwise, they cannot provide long-term support for their own products," he said.Red Hat takes over
Companies like IBM and Red Hat are basically forced to [fix and maintain OpenJDK forks]. Otherwise, they cannot provide long-term support for their own products. Cameron PurdyCEO, xqiz.it
With its stewardship of OpenJDK 8 and OpenJDK 11, Red Hat will maintain releases and determine what it does or doesn't add. That is important, because others -- including AWS, Azul Systems, AdoptOpenJDK and SAP -- will also base their releases on OpenJDK 11.
Red Hat will also provide bug and security fixes, which is a major benefit for users of a supported OpenJDK environment. Unsupported environments are unlikely to be current on security.
"There will not be any radical changes to OpenJDK 8, which is in maintenance mode, or OpenJDK 11. But Red Hat will ensure long-term support for each," said John Doyle, senior principal product manager at Red Hat, based in Raleigh, N.C.
Red Hat also plans to support and enable more innovation in Java. For instance, the company leads the development of the Shenandoah garbage collector that is in OpenJDK 12.
It's also facilitating the use of OpenJDK on Microsoft Windows, with commercial support for OpenJDK on Windows released in December 2018. Within the next few weeks, Red Hat will release OpenJDK in a Microsoft installer and distribute IcedTea-Web, a free software implementation of Java Web Start and the Java web browser plugin, as part of the Windows OpenJDK distribution.Beyond Java
Despite Java's continued popularity, some believe the programming language's best days are behind it.
Years ago, corporations only used open source software on rare occasions. Open source carried a certain stigma. The software was complex, poorly documented and was covered by what a friend of mine called “Bob’s warranty”: if you had the code, you were a big boy and were often on your own. While many of the open source projects provided great capabilities, to really take advantage of open source meant manually integrating a variety of different projects to deliver the heavy lifting that actually made the full product functional and reliable.
Back then, commercial software was considered the safe way to go, because you could count on a predictable product with full support for a known — if pricey — cost. And no one got fired for selecting a commercial product. There were — and still are — a number vendors that delivered fully proprietary search platforms with excellent support including Microsoft SharePoint; Micro Focus, who offer Autonomy and who own rights to the older Verity and Ultraseek platforms; IBM Watson, based on the Vivisimo platform; Recommind from OpenText and others.
A number of open source technologies are available on the web as well, but the Apache Software Foundation (ASF) is the group behind more than 300 open source and free tools. The ASF projects of most interest for search nerds include search tools Lucene and Solr; file crawler Nutch; and machine learning (ML) tools Spark, MLlib and, to a lesser degree, Mahout.Open Source Makes Its Way Into the Enterprise
We are now seeing a new trend in the industry: product vendors integrating with selected open source projects to deliver specific capabilities, along with a licensed proprietary commercial platform that delivers the user experience. This lets software developers utilize the best open source technology under the hood for specific functions, along with smaller set of code that delivers the user experience and capabilities.
Consider one of the leaders in the search field, Coveo. Its products have traditionally been proprietary from deep in the kernel all the way up to the user interface and experience. Not too long ago, Coveo announced the option of running its Coveo user interface on top of open source Elastic — which is based on Apache Lucene. With full support from Coveo, Elastic delivers the core functionality, while Coveo adds the value of a powerful crawler, rich management capabilities, an administrative console and a rich user experience.
Likewise, the Lucidworks Fusion product is built on several open source projects, including the Solr search platform and Spark. As with Coveo, Lucidworks has included a powerful, flexible and proprietary crawler, document level security, and a high-level console for managing everything.
These hybrid platforms offer not only the technology of the open source world, but also the support, training and active communities that can make it easier to find help beyond the vendor community.
Related Article: Enterprise Search Is More About Vision Than TechnologyDipping Your Toe in the Open Source Search Water
Forward-thinking technology companies are taking advantage of open source tools to provide better search technologies — whether through an integration already completed by a commercial vendor, as in the case of Coveo and Lucidworks, or through a direct download and integration in house.
Solr and to a lesser extend Elastic are free for anyone to download and use. Solr is open source and free, but not all versions of Elasticsearch are available with an open source license.
Getting Apache Lucene and Solr running can be a challenge. While downloads and documentation are available on the Apache Software Foundation site for both platforms, YouTube has thousands of video tutorials on installing Solr and other sites offer tutorials to walk you through the process. One caveat: Lucene and Solr have been around for a while, so be sure you are looking at material that is specific for the version of Lucene or Solr you are attempting to install.
But installation is only the first step: a number of related tools and products integrate with search — and these days they are the ones bringing machine learning into the equation.
Related Article: Enterprise Search Has an Open Source SecretMLib and Mahout Bring Machine Learning Into Search
Beyond Lucene and Solr, a number of Apache tools integrate with and expand the capabilities of the search. Two mentioned earlier can be used to add machine learning: Apache Spark which includes the MLlib machine learning component; and Mahout, an older but quite capable tool that also provides machine learning components.
Apache Spark is a useful collection of several different capabilities including an SQL query capability, streaming analytics and a graph processing framework. A number of commercial products embed Spark specifically because of MLlib, which includes a very fast memory-based ML solution. And while search platforms that integrate Spark enable the connection with minimal effort without custom programming, the fact that Spark and MLlib can be accessed via a number of popular languages including Scalar, Python and R is often a plus.
Spark and MLlib are newer and faster than other available tools, which is one reason companies choose Spark over other solutions. However Mahout also can deliver ML capabilities in Lucene and Solr. Mahout is used primarily in collaborative filtering, clustering and classification. It's often a bit slower than MLlib when it comes to classification, but its additional capabilities can be useful.
If you've use internet search platforms like Google, Bing or DuckDuckGo, you’ve experienced machine learning at work in search. So you're already familiar with some of the capabilities ML can add to a public search platform. Now let's see how it would apply in the enterprise.Signals and Pattern Detection
When you search for a term and don’t click any of the results, the top search platforms observe the next queries you use, tracks which items you click on and then associates the terms. The assumption is that if the first results were not of interest, but you click on a subsequent search result, the two query terms are related. This also applies to synonyms and similar terms: machine learning doesn't make big changes, but over time it can "learn" related query terms through observation and refine the results it gives.
Related Article: When it Comes to Intelligent Search, Don't Expect MagicOpen Source Gets a Foot in the Enterprise Door
We've come a long way from the days when open source was a pariah in the enterprise. As the lines between proprietary commercial platforms and open source software become increasingly blurred across the board, but especially in the search realm, open source software will increasingly be found powering the back end of search.
And as businesses become increasingly enthralled with the promise of machine learning as the ultimate solution for search that sucks, this trend will only continue. But a word of caution on machine learning: it’s not magic. Machine learning, whether implemented with Mahout, Spark, or some other technology, takes time to "learn" the best answer for each person executing the query.
Fortunately, just as ML has the capability to learn which query results bring in the most views after a search, it also has the ability to evaluate and utilize data about the user — information that every enterprise has readily available. Do people in marketing search for different content than the engineering team? Are employees in France looking at different content than employees in New York? So in the same way that ML can learn query terms and results over time, it can also build "user profiles" which lets the user become just one more data point in generating a quality result list. It’s not perfect, but remember, it’s new.
Any good — or bad — stories on using open source or specifically open source machine learning in search? I'd love to hear them, so leave them in the comments below.
Miles Kehoe is founder of New Idea Engineering, a vendor neutral consultancy focused on enterprise search, analytics and big data. In addition to New Idea Engineering, he has also worked at search vendors Verity, Fulcrum Technologies, and most recently at Lucidworks.
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