|Exam Name||:||IBM System z and zOS Fundamentals Mastery|
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|Updated On||:||April 18, 2019|
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Apr 05, 2019 (Euclid Infotech Ltd by means of COMTEX) -- Joint customers of IBM IBM, +0.35% and Sandvik Mining and Rock technology, one of the most world's biggest top class mining device producers, are tapping the powers of IoT, superior analytics and synthetic intelligence to recognize security, upkeep, productiveness and operational effectivity.
The mining and rock excavation business is below becoming pressure to boost the international deliver of minerals to satisfy the wants and expectations of a unexpectedly rising world inhabitants. This often requires extracting from increasing more suitable depths, which could make it complicated to talk and act as imperative when machine fails or must be serviced.
OptiMine Analytics transforms information into system improvements by the use of predictive insights and actionable dashboards embedded into operation administration techniques. using the analytics capabilities from IBM Watson IoT, this suggestions management solution allows for mining agencies to combine equipment and software records from disparate sources in true-time, examining patterns in the records to support increase availability, utilization and efficiency.
via a collection of IBM Design considering workshops, IBM and Sandvik work with consumers to develop a framework to shape choices round information driven productivity and predictive maintenance. the use of the Watson IoT expertise, Sandvik and IBM have jointly created a platform able to comply with the stringent reliability and security requirements of mining operations. Predictive upkeep know-how leveraging IoT sensor statistics has also been brought as a part of this platform.
"Proactively deciding upon preservation needs before whatever thing breaks is resulting in big cost and time savings," observed Patrick Murphy, president, Rock Drills & technologies, Sandvik. "Our award-successful OptiMine Analytics with IBM Watson IoT options offer our valued clientele a greater finished view of their operations for smarter, safer and extra productive work."
Sandvik and IBM consumers corresponding to Petra Diamonds and Barminco are using IoT to support in the reduction of miner publicity to antagonistic work environments and increase safeguard.
"Our accurate precedence is the safeguard of our employees and if a machine fails underground, we need immediate insight into what's going on in that tunnel," stated Luctor Roode, executive operations at Petra Diamonds. "With the solution from Sandvik and IBM, we have real-time records that makes it possible for us to immediately identify the root explanation for the problem and act accordingly."
"Leveraging statistics is turn into more and more constructive across the mining sector. through analytics, machine discovering and AI, we are seeing new chances for expanded operational effectivity," observed Paul Muller, chief govt officer, Barminco. "Our partnership with Sandvik's OptiMine Analytics makes it possible for us to fast-song our efforts, leveraging Sandvik's total-of-fleet information and innate machine advantage."
OptiMine Analytics will also be used with the aid of Vedanta Zinc international's Black Mountain Mining (BMM) operations in South Africa's Northern Cape Province, to accelerate facts-pushed operations for protection, efficiency and productivity for trucks, loaders and drills. moreover, Hindustan Zinc, some of the world's biggest integrated producers of zinc, lead and silver has tapped Sandvik to put in force an immense digital transformation at its Sindesar Khurd Mine, India, to be sure all required infrastructure and structures can achieve world-class mining defense, effectivity and productivity.
"Sensors and monitoring programs for asset management is just the beginning when it involves how synthetic intelligence will disrupt the mining industry," noted Jay Bellissimo, usual manager, Cognitive manner Transformation, IBM global enterprise services. "creating an answer that turns the records into actionable insights is a fragile rely. It requires an interdisciplinary effort spanning throughout mining expertise, application engineering and data science. IBM and Sandvik are now on direction to assist radically change the mining cost chain with the fusion of cognitive capabilities into miners enterprise and working methods."
Sandvik has been supplying options in the mining automation enterprise for many years, with autonomous operations in more than 60 mines on six continents. This footprint is a big asset to the process optimization solutions in higher and better demand. For its part, IBM has been working with main mining consumers to infuse cognitive capabilities of their enterprise and working strategies, growing the Cognitive price Chain for Mining. This multidisciplinary strategy leverages and expands on the ideas of the fourth industrial revolution via helping miners obtain new effectivity reductions, while not having to make huge-scale capital investments.
posted on 04 April 2019
from The conversation
-- this put up authored by using James Cortada, institution of Minnesota
It’s mind-blowing when groups closing for decades - or much more than a century - and especially so when they’re in a quick-altering industry like desktop technology. IBM, which traces its roots to the Eighteen Eighties, grew from three small firms to a multi-billion-dollar information know-how capabilities enterprise these days. Its united states of americaand downs along the manner offer some insights into the world expertise trade, and might contain some instructive training for up-and-coming digital giants like Google, Amazon and facebook - all of which are some distance more youthful than IBM.
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IBM has experience that can be principal for the future of know-how. Alexander Tolstykh/Shutterstock.com
In my new publication, “IBM: the upward thrust and Fall and Reinvention of a global Icon," I explore the enterprise’s background of growing and promoting facts processing machine and software. As a former IBM worker and a historian, essentially the most essential lesson I found is that many people confuse incremental changes in know-how with greater basic ones that basically form the path of a company’s destiny.
there's a change between particular person items - successive models of PCs or typewriters - and the underlying applied sciences that make them work. Over a hundred thirty years, IBM launched smartly over three,600 hardware items and practically the same volume of software. however all those objects and capabilities had been in keeping with just a handful of precise technological advances, equivalent to shifting from mechanical machines to folks that relied on computing device chips and utility, and later to networks just like the internet. The transitions between these advances took vicinity way more slowly than the consistent movement of latest products might suggest.
These transitions from the mechanical, to the digital, and now to the networked mirrored an ever-becoming capability to assemble and use superior quantities of counsel readily and instantly. IBM moved from manipulating statistical records to using technologies that teach themselves what americans desire and are interested in seeing.a spotlight that may adapt
Between 1914 and 1918, IBM management decided that the company the company can be in turned into information processing. in additional modern phrases, that company has become “massive facts" and analytics. however it’s nonetheless amassing and organizing facts, and performing calculations and computations on it.
due to the fact the early 1920s, IBM has taken a disciplined strategy to product construction and analysis, specializing in constructing the underpinning technologies for its records processing items. Nothing appeared to be completed by accident.
A blue IBM punch card. Gwern/Wikimedia Commons
In its first half-century, IBM’s primary know-how platform from which many products emerged turned into the punch-card, yielding tabulators, card sorters, card readers and the famous IBM Card. In its 2d half-century, the basic technology platform become the laptop, together with mainframes, minicomputers, PCs and laptops. In its most contemporary 30 years, computing device sales have brought in a declining share of the enterprise’s total earnings, as IBM transitions to featuring greater information superhighway-based features, including application and technical and managerial consulting.
the upward thrust of every succeeding technology took place all through the maturity and decline of its predecessor. IBM first all started promoting computer systems within the Nineteen Fifties, but saved promoting tabulating equipment that nevertheless used punch cards except the early 1960s. As these days as the early 1990s, over 90 % of IBM’s revenues came from selling computers, although it turned into introducing new functions like management and system consulting, suggestions know-how administration and application sales.
It wasn’t except the conclusion of 2018 that IBM introduced that 50 % of its enterprise now got here from functions and software, most of which were new offerings developed in the outdated decade.
The news media - and even IBM personnel - may additionally have perceived that IBM turned into reworking itself immediately and regularly. in fact the enterprise had planted seeds for growth early and punctiliously tended new technologies unless they bore fruit - fortunately, around the identical time as previous programs have been ending their useful lives.
This strategic strategy isn't individual - Apple has been promoting very own computer systems for more than forty years. Its administration, of route, talks plenty more about its role within the smartphone company, which is already starting to level off. Apple may quickly want - or already be working on - a new technological center of attention to remain critical.The future of the giants
Microsoft, like Apple, evolved far from selling simply desktop utility and operating methods. It began web-based mostly projects like its Bing search engine and OneDrive cloud storage - in addition to featuring cloud-based mostly computing features for corporations.
IBM is already exploring quantum computing, as a brand new frontier of records processing. IBM analysis, CC by way of-ND
agencies that started on the information superhighway might also also face an identical transitions. Amazon, Google and facebook from time to time declare to have changed themselves, however haven’t yet completely left their original agencies.
Amazon nonetheless makes most of its money promoting actual objects on-line, although its information superhighway-based cloud features division is becoming swiftly. Amazon has additionally invested in a big range of alternative enterprise that could develop sooner or later, corresponding to fitness care and entertainment content material.
Google and facebook still make most of their money selling suggestions about how clients behave to advertisers and agencies that need to attract individuals to a specific point of view. both are exploring other avenues, even if it’s Google’s self-driving cars or facebook’s experiments with virtual truth.
however at their core, all three web giants are nevertheless finding new easy methods to capitalize on the immense portions of counsel they accumulate about valued clientele’ actions and pursuits - simply as decades earlier IBM discovered new the right way to use tabulating equipment and computer systems. if they’re to closing a long time or centuries into the future, the corporations will deserve to probe, experiment and innovate to discover new easy methods to profit as applied sciences change.
James Cortada, Senior analysis Fellow, Charles Babbage Institute, college of Minnesota
this article is republished from The dialog under a creative Commons license. study the fashioned article.
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IBM has announced it has signed an settlement with Samsung Foundry to supply its subsequent-generation processors. This includes processors for IBM power programs, IBM z, and LinuxONE techniques, all using Samsung’s 7 nm fabrication system that makes use of intense ultraviolet lithography (EUVL). The choice comes as no shock as GlobalFoundries, IBM’s manufacturing accomplice for CPUs, determined to desert construction of seven nm and more advanced technologies. IBM and Globalfroundies manufacturing contract, whereby fabs, IP, and $$ got to GlobalFoundries to make IBM's CPUs, ends this month.
IBM and Samsung have collaborated for 15 years getting to know and developing various semiconductor construction materials and technologies as a part of IBM’s research Alliance. seeing that the undeniable fact that Samsung’s and GlobalFoundries’ fabrication approaches rely on R&D performed internally and as part of IBM’s analysis Alliance, IBM developers know what to predict from these applied sciences. IBM referred to that beneath the present contract, both companies will expand and extend the strategic partnership, however did not difficult whether this potential building of a custom version of Samsung’s 7LPP manufacturing procedure for IBM. At latest, the groups name the tech to be used for IBM’s chips as “7 nm EUV”.
IBM has historically used custom manufacturing procedures to construct its IBM vigour processors for servers and IBM z CPUs for mission-vital mainframes. IBM’s chips mix a excessive core count and complexity with very excessive frequencies, which is why the company required particularly-customized manner technologies that relied on SOI wafers, featured an expanded quantity of metal layers, a decreased transistor density, and different changes. customarily, applied sciences quality-tuned for IBM CPUs through IBM Microelectronics and then GlobalFoundries had been simplest used for these products (partly on account of IP and partly on account of expenses).
the two groups additionally didn't expose what exactly Samsung Foundry will produce for IBM. in accordance with IBM’s latest roadmap for vigour processors, its 2019 CPUs should be made by way of GlobalFoundries the usage of a customized 14 nm fabrication procedure. in the meantime, the company’s subsequent-gen POWER10 items set to hit the market in 2020 or later will allegedly use a distinct manufacturing tech. in the meantime, IBM’s next-gen z15 processors for IBM Z mainframes, which are not delivered on a per-annum cadence, will certainly be fabbed through Samsung.
Samsung Foundry currently started to make use of its 7LPP manufacturing tech for high-quantity construction of undisclosed chips. This fabrication procedure uses EUVL equipment for opt for layers simplest in a bid to cut back cycle times.related reading
Sources: IBM, Samsung
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NAPLES, Fla., May 02, 2018 (PRWeb.com via COMTEX) -- CorreLog, Inc., the leader in multi-platform IT security event log management, today announced day one support for IBM's newest Z14 model. According to IBM, the z14 ZR1 delivers secure capabilities in a smaller, industry-standard frame, with a lower cost of entry, that can easily co-exist with other platforms in a cloud data center.
CorreLog zDefender™ for z/OS can be installed on a z14 LPAR (or multiple LPARs) to intercept security and operational events for user activity on a z/OS z14 and now z14 ZR1 in real time and forward these events for up-to-the-second threat detection and alerts in CorreLog SIEM Correlation Server or any other SIEM (Security Information and Event Management) system. zDefender™ will transmit data securely via TLS through the native encryption of the z14 ZR1 as it does with the current z14, running z/OS V2R3 or any supported release of z/OS. zDefender™ holds certified integrations with IBM, McAfee, Micro Focus, (EMC) RSA Security Analytics, and has field integrations with all other name-brand SIEMs including Splunk Enterprise. No special considerations are warranted for customers upgrading to IBM's latest z/OS versions.
"Eighty percent of the world's corporate data is on mainframes, and CorreLog's mission is to extend the real-time security benefits of SIEM to the highly coveted datasets in z/OS," said George Faucher, CorreLog founder and CEO. "The new z14 ZR1 will bring exciting improvements to the encryption and sheer processing power of mainframe in a smaller frame, and zDefender™ will keep pace with the throughput it delivers."
CorreLog zDefender™ for z/OS uses minimal system resources and can be installed in most datacenters in about an hour. The agent-based software runs as a started task in an LPAR (or multiple LPARs), monitors z/OS event logs from mainframe facilities and subsystems in real time, and forwards the logs pre-formatted for correlation to any name-brand SIEM.
For more information, download the zDefender™ for z/OS datasheet here. CorreLog also offers a free trial version of zDefender™, more info here.
Support for Database Activity Monitoring
CorreLog's database activity monitoring (DAM) solutions, dbDefender™ for Db2, also supports IBM's newest z14 mainframe, providing real-time monitoring for privileged user activity. Click here to download the dbDefender™ for Db2 datasheet, and here for the dbDefender™ for IMS datasheet.
IBM is a global technology and innovation company headquartered in Armonk, N.Y. It is the largest technology and consulting employer in the world, with more than 375,000 employees serving clients in 170 countries. Just completing its 22nd year of patent leadership, IBM Research has defined the future of information technology with more than 3,000 researchers in 12 labs located across 6 continents. IBM Research has produced six Nobel Laureates, 10 U.S. National Medals of Technology, five U.S. National Medals of Science, six Turing Awards, 19 inductees in the National Academy of Sciences and 20 inductees into the U.S. National Inventors Hall of Fame. Today, IBM is much more than a "hardware, software, services" company. IBM is now emerging as a cognitive solutions and cloud platform company. Our work and our people can be found in all sorts of interesting places. IBMers are helping transform healthcare, improving the retail shopping experience, rerouting traffic jams and even designing the next generation fan experience in sports stadiums around the world. It's the kind of thing we've been doing for more than 100 years. For more information, visit http://www.ibm.com.
Since 2007, CorreLog, Inc. has been committed to delivering software solutions for Security and Compliance auditing professionals who need more advanced network/system security and improved adherence to PCI DSS, HIPAA, SOX, FISMA, GDPR, ISO 27001, IRS Pub. 1075, NERC and other industry standards for protecting data. Our solutions are designed to be complementary to clients' existing IT investments.
CorreLog specializes in providing the most comprehensive Security and Compliance software at the industry's lowest Total Cost of Ownership. Our solutions help secure data across both mainframe and distributed operating systems and provide alerts with notifications in real time to security and network operations resources. CorreLog has worked with companies from Fortune 500 to SMB class, who all benefit from our ease of installation and highly interoperable approach to building software that is simple to use and master, out of the box. Our customers are up and running with monitoring and alerts within just a few hours, versus weeks or even months with competing enterprise vendor solutions. Our software agent monitoring technology spans from Windows, Linux, UNIX, Mac, SAP, and databases all the way up to the largest mainframes running IBM(R) z/OS(R), Linux on z Systems, IBM(R) Db2, IBM(R) IMS™, and IBM(R) z/VM.
CorreLog has installed software and framework components used successfully by hundreds of commercial and government organizations worldwide. Our core solutions provide visibility on privileged-user activity, data integrity, FIM and application activity that may hold evidence of cyber threat, and in real time, we notify security personnel with alerts in accordance with compliance standards. For more information on CorreLog, please visit CorreLog.com.
Read the full story at http://www.prweb.com/releases/2018/04/prweb15449277.htmPRWeb.com
IBM Machine Learning leverages parts of Watson to help train and deploy analytics models in the private cloud, to first be used with the IBM z System Mainframe.
IBM will soon bring some of the core machine learning technology from IBM Watson to mainframes and the private cloud, the company announced on Wednesday. The new cognitive platform, simply called IBM Machine Learning, will make its debut on the z System mainframe.
In a press release, IBM described IBM Machine Learning as a platform for "continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast corporate data stores." The service could help enterprise data scientists more quickly get to valuable insights.
"IBM Machine Learning was designed leveraging our core Watson technologies to accelerate the adoption of machine learning where the majority of corporate data resides," Rob Thomas, general manager for IBM Analytics, said in a press release. "As clients see business returns on private cloud, they will expand for hybrid and public cloud implementations."
SEE: IBM Watson: The smart person's guide
The z System mainframe handles billions of transactions every day from organizations in retail, banking, insurance, government, and more, IBM noted in the release. For example, retail could use the machine learning service to examine the day's trends in real-time, or healthcare could use it to better tailor offerings to patients, the release said.
Operational analytic models can be created and trained through IBM Machine Learning using any language, any popular machine learning framework, and any transactional data type, according to the release. The platform will also make use of IBM Research's Cognitive Automation for Data Scientists, which can help data scientists choose the proper algorithm for their work.
The IBM z Systems mainframe can process 2.5 billion transactions per day, and the release said that IBM Machine Learning for z/OS could lead to more valuable insights into that data. To get these insights, the data remains on the system, so latency and risk are reduced.
While only available on z/OS now, the new service will eventually be available to IBM POWER systems in the future.
In late 2016, IBM also launched the Watson Discovery Service to make big data analytics more accessible to companies with limited data science resources. With the launch of IBM Machine Learning, IBM is positioning itself as an enterprise provider than can fill in a company's machine learning and big data gaps, or help them remain competitive without dedicated in-house talent. IBM has also showcased how this strategy affects other aspects of an organization outside of business intelligence, as it has dedicated Watson capabilities to cybersecurity as well.The 3 big takeaways for TechRepublic readers
Master the fundamentals of big data analytics by following these expert tips, and by reading insights about data science innovations. Delivered MondaysSign up today Also see
DeVry University's Bachelor's degree program in Computer Information Systems with a specialization in Enterprise Computing is designed to provide students with knowledge of systems and applications development and analysis practices. Continue reading for more information regarding this enterprise computing CIS major.
Tuition & Aid
Start DatesOfficial Program Name:
Bachelor's degree program in Computer Information Systems with a specialization in Enterprise ComputingSchool Offering Program:
DeVry UniversityDegree Level:
Students enrolled in DeVry University's degree programs may need to satisfy minimum requirements before beginning the program, including having already earned a high school diploma or equivalent. Those who are interested in this program may have experience working in computer sales, support, or repair. Program participants may have existing knowledge of computer hardware fundamentals or networking concepts.Program Description:
The Bachelor's degree program in Computer Information Systems with a specialization in Enterprise Computing is designed to teach students how to develop and integrate computer initiatives that can help maximize overall organizational functionality. Courses are designed to provide participants with knowledge of various technical languages, including RPG, PHP, Java, C++, C#, Visual Basic. Net, SQL, and HTML. Within the specialization area, students will have the chance to learn to maintain enterprise computing platforms, including IBM Power Systems and IBM System Z. In addition, prior to completing this computer information systems series, they'll have the chance to take part in practical labs as well as demonstrate their newfound knowledge and skills through the completion of a final major project.Learning Format:
Online and Campus-Based.Minimum Credits Required:
124 credit hours.Financial Aid:
DeVry University offers millions in scholarship opportunities to qualified students. Additional financial aid, military service grants, veterans appreciation grants, federal grants, and institutional grants, are available to qualifying students. Eligible students can apply for Federal Stafford or PLUS loans.Tuition, Financial Aid & Start Dates
Since every student is different, there isn't a "one size fits all" for school information. Start dates and tuition often vary between selected programs, and financial aid opportunities are unique to each student's circumstances. to get the most up-to-date and accurate information based on your selected program and circumstances.Still Have Questions?
Complete and get your answers and advice.Course Topics Covered:
Degree program and course requirements are subject to change. Contact DeVry University to confirm the most accurate information before enrolling in a program.
Computer Information Systems
Upon completion of this DeVry University program, graduates could be able to pursue recognized industry certifications. Others may opt to advance their studies, which could lead them to enroll in continuing education courses, post-bachelor's degree certificate programs, or master's degree series.
Examples of master's degrees that could be sought include, but are not limited to:
Individuals who earn a Bachelor's degree in Computer Information Systems with a specialization in Enterprise Computing could be able to take on professional responsibilities in systems design, maintenance, security, or assessment. Computer information system workers might be responsible for aligning an organization's computer needs with their professional goals.
With this type of major, DeVry University graduates could be able to find work as:
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