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000-151 - IBM System x Sales Expert V3 - Dump Information

Vendor : IBM
Exam Code : 000-151
Exam Name : IBM System x Sales Expert V3
Questions and Answers : 55 Q & A
Updated On : April 23, 2019
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000-151 Questions and Answers

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000-151 IBM System x Sales Expert V3

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000-151 exam Dumps Source : IBM System x Sales Expert V3

Test Code : 000-151
Test Name : IBM System x Sales Expert V3
Vendor Name : IBM
Q&A : 55 Real Questions

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IBM IBM System x Sales

IBM Patches New security Flaws in Java, OpenSSL | killexams.com Real Questions and Pass4sure dumps

April three, 2019 Alex Woodie

IBM this week patched a series of flaws in IBM i’s Java atmosphere, including a pair of very severe complications in the OpenJ9 runtime that might permit far off attackers to execute arbitrary code, apart from a collection of less-severe Java vulnerabilities. The enterprise additionally fixed a brand new flaw found in IBM i’s OpenSSL implementation.

a complete of seven Java flaws that affect IBM i models 7.1 via 7.three were addressed with one safety bulletin issued by means of IBM on March 29. IBM issued community PTFs for each and every free up of the working gadget to address them. A single OpenSSL flaw additionally impacts IBM i 7.1 through 7.3 and turned into dealt with the usage of two PTFs, whereas a flaw in WebSphere software Server gets one patch for IBM i.

both most critical flaws both influence Eclipse OpenJ9, which is the new name that’s been applied to IBM’s pre-current J9 Java virtual laptop (JVM) that it has used throughout a lot of its items, including IBM i, Linux, and AIX operating techniques, in addition to quite a lot of middleware items, such because the WebSphere utility Server.

With the primary flaw, labeled CVE-2018-12547, a far flung attacker may send a bit of malicious code to make the most a buffer overflow vulnerability in Eclipse OpenJ9 working on IBM i, and thereby profit the capability to execute arbitrary code on the system or cause the system to crash. The flaw contains a CVSS base ranking of 9.8 out of 10, which means it’s an exceedingly severe chance.

The second flaw, labeled CVE-2018-12549, might enable a remote attacker to execute arbitrary code through exploiting a “failure to pass over a null investigate on the receiver object of an dangerous name when accelerating it,” the computer virus file says. This flaw also includes a CVSS base ranking of 9.8 and is considered a very unhealthy vulnerability.

The remaining five flaws are not virtually as severe. probably the most critical amongst these is a flaw in version eight of AIX’s IBM SDK, Java technology edition, which might permit an attacker to inject code or elevate their privilege. This flaw, which is called CVE-2018-1890 and carries a CVSS base score of 5.6, generally impacts AIX and Db2 for LUW, however IBM is together with a patch within the IBM i PTFs anyway.

The neighborhood PTFs consist of IBM i patches for three “unspecified vulnerabilities” in numerous Oracle Java general version (SE) components. A flaw in Oracle’s Java SE’s Libraries part (CVE-2019-2422) might enable an unauthenticated attacker to gain sensitive counsel. A flaw within the Java SE’s Deployment component (CVE-2019-2449) could permit an unauthenticated attacker to cause a denial of provider (DOS) assault. A flaw in Java SE’s Networking component (CVE-2019-2426) may permit an unauthenticated attacker to obtain sensitive information. These three flaws elevate CVSS base rankings of three.1 to three.7.

The ultimate fix within the neighborhood PTF of Java safety vulnerability fixes addresses a flaw in an obscure C library. CVE-2018-11212 handle a flaw in libjpeg, which is a favourite C library used for reading and writing JPEG photo info. The vulnerability become given a CVSS base ranking of three.3.

all of the above security flaws have been addressed with three community PTFs. IBM i 7.1 clients are encouraged to follow SF99572 level 35. IBM i 7.2 users may still observe SF99716 degree 20. And IBM i 7.3 purchasers should put SF99725 level 12 on their programs as quickly as feasible. There are no workarounds for any of these flaws.

On March 29, IBM issued an additional security bulletin informing IBM i shoppers that it has fastened a flaw within the OpenSSL encryption library, which has been one of the crucial trojan horse-ridden pieces of community code on the system in recent memory.

the brand new OpenSSL flaw, labeled CVE-2019-1559, could enable a far off attacker to read encrypted information “brought about with the aid of the failure to instantly close the TCP connection after the hosts come across a nil-length checklist with valid padding.” This vulnerability could be exploited by using a “0-byte listing padding-oracle attack” to decrypt site visitors, IBM says.

This OpenSSL flaw consists of a CVSS base score of 5.eight. once again, there aren't any workarounds for this flaw. IBM recommends IBM i 7.1 clients to follow PTF quantity SI69329, while IBM i 7.2 and seven.3 users are directed to PTF quantity SI69336.

at last, IBM has issued a patch to fix a DOS vulnerability in WebSphere utility Server led to with the aid of wrong managing of request headers. The flaw, labeled as CVE-2019-4046, influences was models 7.x, 8.x, and 9.x, and the liberty server version 19.x, working on IBM i, AIX, Linux, HP-UX, Solaris, z/OS, Mac OS, and windows operating systems.

happy patching!

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Tags: Tags: AIX, CVSS, Db2 for LUW, Denial of carrier, DOS, HP-UX, IBM i, Java, Java digital machine, JVM, Linux, Mac OS, OpenJ9, OpenSSL, PTF, Solaris, WebSphere application Server, home windows, z/OS

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IBM partners Cheer competencies Sale Of x86 Server enterprise | killexams.com Real Questions and Pass4sure dumps

IBM answer providers are applauding the competencies sale of the laptop tremendous's low-end x86 based mostly equipment x server line to Lenovo.

The capabilities sale of a "low-margin" system x server line can be high-quality for both IBM and its companions, said David Stone, vice chairman of enterprise construction at options-II, a Littleton, Colo.-primarily based IBM partner.

"The IBM channel is extra value-oriented," said Stone, noting that rumors of a likely sale of IBM's x86-based mostly server company were circulating for the previous forty five days. "quantity avid gamers will stream to the Lenovo level. value avid gamers will flow to [IBM] PureFlex."

CRN Thursday pronounced that IBM is in energetic negotiations to promote its x86-primarily based server enterprise, with Lenovo rising as the front-runner to buy the enterprise.

Responding to a CRN document that Lenovo has emerged because the top candidate to purchase IBM's x86 server hardware company, Lenovo Chairman and CEO Yang Yuanqing stated the China-based mostly computer tremendous is in "preliminary negotiations with a 3rd celebration in reference to a possible acquisition."

Aaron Rakers, an analyst with Stifel Nicolaus fairness analysis, wrote in keeping with IBM's first-quarter 2013 results and the CRN file of a possible IBM-Lenovo deal that a "sale of IBM's x86 server division would definitely be viewed as an illustration that the trade is swiftly evolving toward margin compression."

Lenovo is presently the best company in negotiations to buy IBM's x86 server business, based on one excessive-rating executive monitoring the deal, who spoke to CRN on condition of anonymity earlier this week. The deal would doubtless embody IBM's equipment x line, which includes Intel- and AMD-primarily based tower, rack and blade servers. IBM is reportedly searching for $5 billion to $6 billion for its x86 server enterprise, the executive noted.

IBM CFO Mark Loughridge Thursday declined to comment on the CRN document when requested about it by using a economic analyst on the business's first-quarter earnings name.

Loughridge, however, tested the divestiture of poorly performing businesses is deliberate for the present quarter.

"There are ingredients of our business that are in transition or were underperforming, like aspects of our energy, [System] x and storage product strains that showed disappointing efficiency in the first quarter," Loughridge mentioned. "here we will take gigantic moves," he talked about, devoid of providing particulars.

IBM Thursday suggested that complete techniques profits for its first fiscal quarter of 2013 dropped 13 %, after adjusting for forex.

subsequent: IBM Server sales Down, however Numbers are not every little thing

Of that, IBM's device x salary fell 9 percent over closing 12 months, compared with a 32 percent drop in power systems profits and a 7 p.c rise in device z mainframe salary, IBM reported. device storage earnings dropped eleven p.c over last year.

The drop in device x server revenue is a component of a long-term fashion for IBM. analysis enterprise Gartner estimated that IBM's x86-based mostly server shipments fell 8.four p.c in 2012 in comparison with 2011, equating to a drop in x86-based mostly server income of 3.5 %. That was the worst efficiency of the good five server vendors and was a lot reduce than the business as a whole, which noticed an usual rise in server sales.

The fourth quarter of 2012 became even worse, with IBM's x86-primarily based server shipments down 12.eight percent while revenue become down 2.four p.c, Gartner pronounced.

despite the fact, those numbers don't inform the whole IBM server story.

first off, IBM continues to have a extremely amazing blade server enterprise. IDC estimated that IBM had a 21.7 percent share of the blade server income in the fourth quarter of 2012, 2d simplest to that of Hewlett-Packard. The blade server enterprise all the way through the fourth quarter rose three.3 p.c over the same period remaining year in comparison with a three.2 p.c upward push in the ordinary server company, youngsters average x86 server business rose 6.0 % right through that point.

additionally, IBM is basing part of its information center infrastructure plans on its PureFlex device converged infrastructure options based mostly partially on its Flex equipment x86 blade server expertise.

Todd Swank, senior director of product advertising at Equus desktop programs, a Minneapolis-primarily based gadget builder, stated that an IBM-Lenovo deal would boost Lenovo's market momentum.

"loads of custom techniques corporations are moving to reselling Lenovo," Swank pointed out. "A take care of IBM would provide Lenovo a brilliant product line they may then combine with their least expensive manufacturing capabilities. when you are a Lenovo reseller, or not it's respectable news. If not, it will be extra difficult down the street."

An IBM-Lenovo deal doubtless would have a huge poor have an impact on on the different excellent server carriers, notably on HP, presently the appropriate x86-primarily based server vendor, and Dell, which is the 2d-greatest seller, in keeping with answer providers.

Lenovo has used its cost effective manufacturing capabilities to extend its desktop and cell computing device company in the wake of acquiring that business from IBM to flow from a third-tier, China-focused laptop maker to second place at the back of HP, which is seeing its pc company at once fall, IDC reported earlier this month.

HP, in pushing aside calls to promote its personal computing device enterprise, has lengthy maintained that give chain synergies between the computing device and server enterprise support reduce the cost of sourcing components for manufacturing such systems. Such give chain efficiencies could support Lenovo cut the cost of manufacturing x86-primarily based servers, making it greater aggressive vis-a-vis HP and Dell.

Lenovo already is using fee to construct up its North American channel. Lenovo this week caught the ears of attendees on the Synnex Varnex convention by using asserting VARs may purchase one ThinkServer RD630 for $299, more than ninety p.c off the suggested retail price.

next: could government And EMC hurt The Deal?

one more ingredient in determining the expertise have an impact on of an IBM-Lenovo deal is how lots of the IBM x86 server company continues to be in the U.S., talked about Andy Kretzer, director of revenue and advertising at bold facts know-how, a Fremont, Calif.-based device builder.

The U.S. govt has been including a requirement to its RFQs (requests for quotes) that anything sold on a GSA agenda be compliant with the change Agreements Act, which specifies that products have to be manufactured in a country exceptionally listed on the TAA specified nation checklist. China isn't on that listing.

"If Lenovo moves items to Asia, it be good information for us," Kretzer pointed out.

there's precedence for this kind of sale.

IBM in 2004 bought its desktop and cell laptop company to Lenovo, which helped IBM exit that low-margin enterprise and helped build Lenovo into one of the most world's greatest computer manufacturers and a detailed companion of IBM.

IBM in 2008 adopted that up with a deal to license its one-socket and two-socket x86 server technology to Lenovo. then again, Lenovo remains a second-tier server supplier, with the massive majority of server revenue in China and relatively few revenue in North the usa.

For Lenovo, one of these deal stands out as the second fundamental server technology deal during the past 12 months. EMC, which bases its storage hardware on x86-based server systems, licensed its server technology to Lenovo for the purpose of the usage of Lenovo servers because the new basis for its storage items.

however, that EMC-Lenovo deal is usually a stumbling block between IBM and Lenovo. As CRN said Thursday, IBM views Lenovo as a great buyer for its x86 server company since it does not view Lenovo as a chance to other components of its business, including storage and converged infrastructure. EMC, in aggregate with Lenovo servers, is even so a possible probability to IBM's storage company.

published APRIL 19, 2013


How IBM Watson Overpromised and Underdelivered on AI fitness Care | killexams.com Real Questions and Pass4sure dumps

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Conceptual photo-illustration imagining IBM’s AI Watson as a concerned doctor, with the Watson logo standing in for the doctor’s face. Illustration: Eddie man

In 2014, IBM opened swanky new headquarters for its synthetic intelligence division, called IBM Watson. inside the glassy tower in reduce long island, IBMers can bring prospective valued clientele and travelling journalists into the “immersion room,” which resembles a miniature planetarium. There, in the darkened house, visitors sit down on swiveling stools whereas fancy images flash around the curved screens masking the walls. It’s the closest which you could get, IBMers every so often say, to being interior Watson’s electronic brain.

One unbelievable 2014 demonstration of Watson’s brainpower showed off its advantage to seriously change medicine the use of AI—a aim that IBM CEO Virginia Rometty commonly calls the enterprise’s moon shot. in the demo, Watson took a bizarre assortment of affected person signs and came up with an inventory of viable diagnoses, each annotated with Watson’s self belief degree and hyperlinks to supporting clinical literature.

in the relaxed confines of the dome, Watson by no means did not impress: Its memory banks held competencies of each rare disease, and its processors weren’t prone to the variety of cognitive bias that may throw off doctors. It may crack a tough case in mere seconds. If Watson could deliver that rapid capabilities to hospitals and clinics throughout the realm, it seemed possible that the AI may in the reduction of diagnosis mistakes, optimize cures, and even alleviate medical professional shortages—now not by using changing docs however by way of helping them do their jobs faster and better.

project: Oncology professional advisor

MD Anderson melanoma center partnered with IBM Watson to create an advisory device for oncologists. The device used natural-language processing (NLP) to summarize sufferers’ digital health information, then searched databases to supply medication ideas. Physicians tried out a prototype in the leukemia department, but MD Anderson canceled the assignment in 2016—after spending US $62 million on it.

backyard of company headquarters, besides the fact that children, IBM has discovered that its effective expertise isn't any healthy for the messy fact of nowadays’s health care equipment. And in attempting to follow Watson to melanoma treatment, considered one of medicine’s largest challenges, IBM encountered a simple mismatch between the manner machines study and the manner docs work.

IBM’s daring try to revolutionize health care all started in 2011. The day after Watson completely defeated two human champions within the game of Jeopardy!, IBM announced a brand new profession path for its AI quiz-display winner: it will turn into an AI medical professional. IBM would take the leap forward technology it showed off on television—chiefly, the means to keep in mind herbal language—and apply it to medicine. Watson’s first business choices for health care would be available in 18 to 24 months, the company promised.

basically, the initiatives that IBM announced that first day didn't yield commercial products. within the eight years considering that, IBM has trumpeted many more excessive-profile efforts to improve AI-powered medical technology—a lot of which have fizzled, and just a few of which have failed spectacularly. The enterprise spent billions on acquisitions to bolster its inner efforts, however insiders say the obtained businesses haven’t yet contributed a whole lot. And the items which have emerged from IBM’s Watson health division are nothing just like the outstanding AI doctor that changed into once envisioned: They’re extra like AI assistants that may operate definite events tasks.

“Reputationally, I believe they’re in some crisis,” says Robert Wachter, chair of the department of drugs on the tuition of California, San Francisco, and writer of the 2015 e-book The Digital medical professional: Hope, Hype, and harm at the daybreak of medication’s computing device Age (McGraw-Hill). partly, he says, IBM is plagued by its ambition: It was the first business to make an immense push to bring AI to the hospital. however it additionally earned unwell will and skepticism through boasting of Watson’s potential. “They got here in with advertising and marketing first, product second, and acquired everybody excited,” he says. “Then the rubber hit the road. here's an exceptionally hard set of complications, and IBM, via being first out, has confirmed that for all and sundry else.”

on account that 2011, IBM Watson has announced a multitude of initiatives in health care. How have they fared? graphic link to table at end of article See table “to this point, Few Successes”

At a 2017 conference of fitness IT gurus, IBM CEO Rometty instructed the crowd that AI “is real, it’s mainstream, it’s here, and it may exchange virtually everything about health care,” and delivered that it could usher in a medical “golden age.” She’s no longer on my own in seeing an opportunity: consultants in computing device science and medication alike agree that AI has the abilities to seriously change the health care trade. Yet up to now, that advantage has essentially been tested in carefully controlled experiments. most effective a few AI-based mostly tools were accredited through regulators for use in actual hospitals and medical doctors’ offices. those pioneering items work in general in the visible realm, the usage of computer vision to research images like X-rays and retina scans. (IBM does not have a product that analyzes scientific photographs, although it has an active research challenge in that enviornment.)

searching past photographs, besides the fact that children, even these days’s greatest AI struggles to make experience of complex clinical information. And encoding a human medical professional’s talents in application turns out to be a extremely complex proposition. IBM has learned these painful lessons in the marketplace, as the world watched. while the enterprise isn’t giving up on its moon shot, its launch failures have proven technologists and physicians alike just how elaborate it is to build an AI doctor.

The Jeopardy! victory in 2011 confirmed Watson’s fabulous skill with herbal-language processing (NLP). To play the online game, it had to parse advanced clues filled with wordplay, search big textual databases to find viable solutions, and assess the optimal one. Watson wasn’t a glorified search engine; it didn’t simply return documents in accordance with keywords. in its place it employed a whole lot of algorithms to map the “entities” in a sentence and be mindful the relationships amongst them. It used this skill to make sense of each the Jeopardy! clue and the thousands and thousands of text sources it mined.

challenge: Cognitive teaching system

The sports clothing business below Armour teamed up with Watson health to create a “very own health trainer and tness consultant.” the use of records from under Armour’s recreation-tracker app, the Cognitive educate become supposed to give custom-made practicing classes based on a user’s habits, as well as information in keeping with evaluation of effects carried out by way of equivalent americans. The train never launched, and below Armour is not any longer working with IBM Watson.

“It virtually appeared that Watson may consider the that means of language, rather than simply recognizing patterns of words,” says Martin Kohn, who was the chief medical scientist for IBM research at the time of the Jeopardy! suit. “It changed into an order of magnitude more effective than what existed.” What’s greater, Watson developed this means by itself, by the use of computing device researching. The IBM researchers proficient Watson by giving it lots of Jeopardy! clues and responses that were labeled as relevant or flawed. in this complex data set, the AI discovered patterns and made a mannequin for the way to get from an input (a clue) to an output (a correct response).

lengthy before Watson starred on the Jeopardy! stage, IBM had considered its chances for fitness care. medicine, with its reams of affected person facts, gave the impression an evident fit, notably as hospitals and docs were switching over to digital health facts. whereas some of that records will also be comfortably digested by machines, corresponding to lab consequences and vital-sign measurements, the bulk of it's “unstructured” suggestions, reminiscent of medical professional’s notes and hospital discharge summaries. That narrative textual content bills for roughly 80 % of a standard patient’s record—and it’s a stew of jargon, shorthand, and subjective statements.

Kohn, who came to IBM with a clinical degree from Harvard school and an engineering diploma from MIT, turned into excited to aid Watson handle the language of medicine. “It seemed like Watson had the advantage to overcome these complexities,” he says. by using turning its mighty NLP potential to drugs, the theory went, Watson may study patients’ health information as neatly because the total corpus of scientific literature: textbooks, peer-reviewed journal articles, lists of permitted drugs, and the like. With access to all this records, Watson may become a superdoctor, discerning patterns that no human might ever spot.

“docs go to work every day—specially the individuals on the front traces, the primary care docs—with the understanding that they can not might be understand every little thing they should be aware of in an effort to apply the most suitable, top-quality, most effective drugs viable,” says Herbert Chase, a professor of medication and biomedical informatics at Columbia university who collaborated with IBM in its first health care efforts. but Watson, he says, could keep up—and if turned right into a device for “medical choice aid,” it may permit doctors to keep up, too. In lieu of a Jeopardy! clue, a physician might provide Watson a affected person’s case heritage and ask for a diagnosis or most fulfilling remedy plan.

Chase worked with IBM researchers on the prototype for a diagnostic tool, the thing that dazzled guests within the Watson immersion room. but IBM selected not to commercialize it, and Chase parted techniques with IBM in 2014. He’s dissatisfied with Watson’s sluggish progress in medicine due to the fact that then. “I’m now not aware about any spectacular home runs,” he says.

He’s one among many early Watson lovers who are actually dismayed. Eliot Siegel, a professor of radiology and vice chair of information programs on the school of Maryland, also collaborated with IBM on the diagnostic analysis. while he thinks AI-enabled tools should be vital to docs inside a decade, he’s no longer confident that IBM will build them. “I don’t suppose they’re on the leading edge of AI,” says Siegel. “the most entertaining issues are going on at Google, Apple, and Amazon.”

As for Kohn, who left IBM in 2014, he says the business fell into a standard trap: “simply proving that you've got effective technology isn't ample,” he says. “prove to me that it is going to really do anything beneficial—that it is going to make my existence more suitable, and my sufferers’ lives superior.” Kohn says he’s been waiting to peer peer-reviewed papers within the clinical journals demonstrating that AI can improve patient effects and store fitness systems cash. “so far there’s very little in the approach of such publications,” he says, “and none of outcome for Watson.”

AI’s First Foray Into health Care docs are a conservative bunch—for first rate intent—and sluggish to adopt new technologies. but in some areas of health care, clinical experts are beginning to see artificially intelligent systems as official and advantageous. here are a number of early steps toward AI medicine. Robotic surgical procedure image evaluation Genetic evaluation Pathology at present used most effective for movements steps in basic techniques like laser eye surgical procedure and hair transplants. consultants are just starting to use automated techniques to help them check X-rays, retina scans, and different photos. With genome scans becoming a activities part of drugs, AI equipment that right away draw insights from the data are becoming necessary. Experimental programs have proved adept at examining biopsy samples, however aren’t yet accredited for scientific use. scientific-decision guide  digital Nursing clinical managementMental healthHospitals are introducing equipment for functions like predicting septic shock, but they haven’t yet proved their value. Rudimentary systems can examine on patients between office visits and provide automated signals to physicians. corporations are speeding to offer AI-enabled tools that may raise efficiency in projects like billing and insurance claims. Researchers are exploring such purposes as monitoring depression with the aid of mining cellular phone and social media records.

In attempting to bring AI into the health center, IBM was taking over a giant technical problem. however having fallen at the back of tech giants like Google and Apple in lots of other computing realms, IBM crucial whatever thing large to live valuable. In 2014, the business invested US $1 billion in its Watson unit, which changed into establishing tech for dissimilar company sectors. In 2015, IBM introduced the formation of a special Watson health division, and by mid-2016 Watson fitness had obtained 4 fitness-facts organizations for a total cost of about $four billion. It seemed that IBM had the know-how, the components, and the dedication quintessential to make AI work in health care.

these days, IBM’s leaders speak in regards to the Watson fitness effort as “a experience” down a road with many twists and turns. “It’s a difficult project to inject AI into health care, and it’s a problem. however we’re doing it,” says John E. Kelly III, IBM senior vice president for cognitive solutions and IBM research. Kelly has guided the Watson effort due to the fact the Jeopardy! days, and in late 2018 he additionally assumed direct oversight of Watson fitness. He says the company has pivoted when it needs to: “We’re continuing to gain knowledge of, so our offerings change as we study.”

venture: Sugar.IQ

Medtronic and Watson fitness begun working together in 2015 on an app for customized diabetes administration. The app works with statistics from Medtronic’s continual glucose monitor, and helps diabetes sufferers song how their drugs, meals, and culture selections have an effect on their glucose degrees. The FDA-authorised app launched in 2018.

The diagnostic device, for instance, wasn’t brought to market because the company case wasn’t there, says Ajay Royyuru, IBM’s vice chairman of health care and life sciences analysis. “diagnosis is not the area to move,” he says. “That’s anything the consultants do pretty neatly. It’s a tough task, and no remember how well you do it with AI, it’s now not going to displace the knowledgeable practitioner.” (now not everyone concurs with Royyuru: A 2015 file on diagnostic blunders from the country wide Academies of Sciences, Engineering, and medicine cited that enhancing diagnoses represents a “ethical, knowledgeable, and public health crucial.”)

In an try to locate the business case for medical AI, IBM pursued a dizzying variety of initiatives focused to the entire distinctive gamers in the fitness care equipment: physicians, administrative body of workers, insurers, and patients. What ties all of the threads together, says Kelly, is an effort to give “choice guide using AI [that analyzes] large facts sets.” IBM’s most publicized mission concentrated on oncology, where it hoped to installation Watson’s “cognitive” knowledge to turn large records into customized melanoma cures for patients.

in many attempted applications, Watson’s NLP struggled to make sense of clinical textual content—as have many different AI techniques. “We’re doing tremendously greater with NLP than we have been 5 years ago, yet we’re nonetheless highly worse than people,” says Yoshua Bengio, a professor of laptop science at the tuition of Montreal and a number one AI researcher. In medical textual content documents, Bengio says, AI systems can’t understand ambiguity and don’t decide on up on delicate clues that a human doctor would note. Bengio says latest NLP know-how can aid the fitness care device: “It doesn’t ought to have full figuring out to do something enormously constructive,” he says. however no AI built so far can suit a human medical professional’s comprehension and insight. “No, we’re no longer there,” he says.

IBM’s work on cancer serves because the major instance of the challenges the company encountered. “I don’t feel anybody had any conception it would take this lengthy or be this complicated,” says Mark Kris, a lung cancer specialist at Memorial Sloan Kettering cancer core, in long island metropolis, who has led his institution’s collaboration with IBM Watson given that 2012.

the trouble to enrich melanoma care had two leading tracks. Kris and other preeminent physicians at Sloan Kettering informed an AI equipment that became the product Watson for Oncology in 2015. across the nation, preeminent physicians on the university of Texas MD Anderson melanoma core, in Houston, collaborated with IBM to create a different tool referred to as Oncology knowledgeable consultant. MD Anderson got as far as trying out the device within the leukemia department, nonetheless it not ever became a business product.

each efforts have obtained strong criticism. One excoriating article about Watson for Oncology alleged that it offered unnecessary and often unhealthy innovations (IBM contests these allegations). extra generally, Kris says he has regularly heard the critique that the product isn’t “actual AI.” And the MD Anderson venture failed dramatically: A 2016 audit by way of the college of Texas discovered that the cancer center spent $sixty two million on the challenge before canceling it. A deeper study these two tasks exhibits a primary mismatch between the promise of computing device researching and the truth of clinical care—between “true AI” and the necessities of a purposeful product for nowadays’s medical doctors.

Watson for Oncology turned into purported to gain knowledge of by means of ingesting the vast medical literature on melanoma and the fitness records of real melanoma sufferers. The hope became that Watson, with its mighty computing vigor, would examine tons of of variables in these information—together with demographics, tumor traits, remedies, and effects—and find patterns invisible to people. it could additionally keep up to date with the bevy of journal articles about cancer cures being published day by day. To Sloan Kettering’s oncologists, it seemed like a possible step forward in cancer care. To IBM, it seemed like a superb product. “I don’t believe anyone knew what we were in for,” says Kris.

Watson learned fairly directly the way to scan articles about clinical experiences and investigate the primary outcomes. nonetheless it proved not possible to train Watson to examine the articles the way a physician would. “The guidance that physicians extract from an editorial, that they use to change their care, might also not be the foremost element of the look at,” Kris says. Watson’s thinking is according to statistics, so all it might probably do is accumulate data about main consequences, explains Kris. “but docs don’t work that means.”

In 2018, as an example, the FDA accredited a new “tissue agnostic” melanoma drug that's positive towards all tumors that show a specific genetic mutation. The drug turned into quickly-tracked in accordance with dramatic outcomes in just 55 patients, of whom 4 had lung cancer. “We’re now saying that each affected person with lung melanoma should still be proven for this gene,” Kris says. “all the prior guidelines had been thrown out, according to four sufferers.” but Watson received’t exchange its conclusions based on just four sufferers. To remedy this problem, the Sloan Kettering experts created “synthetic instances” that Watson may be taught from, almost make-believe sufferers with definite demographic profiles and melanoma qualities. “I trust in analytics; I agree with it may well discover issues,” says Kris. “however when it involves cancer, it definitely doesn’t work.”

Do you compromise? a couple of reports have in comparison Watson for Oncology’s melanoma medicine strategies to those of clinic oncologists. The concordance percentages point out how often Watson’s tips matched the consultants’ remedy plans. pie chart Sources: Journal of clinical Oncology 2017; cancer research 2017; JCO scientific cancer Informatics 2018

The realization that Watson couldn’t independently extract insights from breaking information in the clinical literature was just the first strike. Researchers additionally found that it couldn’t mine information from sufferers’ digital fitness records as they’d anticipated.

At MD Anderson, researchers put Watson to work on leukemia sufferers’ health statistics—and without delay found how challenging those information have been to work with. sure, Watson had extraordinary NLP potential. however in these data, information may be missing, written down in an ambiguous manner, or out of chronological order. In a 2018 paper posted in the Oncologist, the team suggested that its Watson-powered Oncology expert consultant had variable success in extracting assistance from text files in medical statistics. It had accuracy ratings starting from 90 to ninety six % when dealing with clear concepts like diagnosis, but ratings of most effective sixty three to 65 percent for time-stylish tips like remedy timelines.

In a final blow to the dream of an AI superdoctor, researchers realized that Watson can’t examine a brand new affected person with the universe of cancer patients who have come earlier than to find hidden patterns. both Sloan Kettering and MD Anderson hoped that the AI would mimic the knowledge of their expert oncologists, who draw on their adventure of patients, cures, and effects after they devise a methodology for a new patient. A computer that could do the same classification of population analysis—more fastidiously, and using hundreds extra patients—would be hugely potent.

however the health care gadget’s present requirements don’t encourage such true-world discovering. MD Anderson’s Oncology knowledgeable advisor issued only “proof primarily based” techniques linked to reputable medical instructions and the effects of reports posted within the medical literature. If an AI device were to base its suggestions on patterns it discovered in clinical records—for example, that a undeniable type of patient does more advantageous on a certain drug—its innovations wouldn’t be regarded facts based, the gold general in medicine. with out the strict controls of a scientific examine, this sort of finding can be regarded most effective correlation, now not causation.

Kohn, formerly of IBM, and a lot of others feel the specifications of fitness care should trade in order for AI to recognize its full abilities and transform medicine. “The gold normal isn't truly gold,” Kohn says. AI techniques may consider many more elements than will ever be represented in a scientific trial, and could type patients into many greater categories to deliver “truly customized care,” Kohn says. Infrastructure need to exchange too: health care institutions must comply with share their proprietary and privateness-controlled facts so AI methods can be trained from thousands and thousands of sufferers adopted over decades.

in line with anecdotal studies, IBM has had problem finding buyers for its Watson oncology product within the united states. Some oncologists say they have confidence their personal judgment and don’t want Watson telling them what to do. Others say it suggests best usual cures that they’re neatly aware of. however Kris says some physicians are finding it constructive as an immediate second opinion that they could share with fearful sufferers. “As imperfect as it is, and restrained because it is, it’s very advantageous,” Kris says. IBM income reps have had more success outdoor the us, with hospitals in India, South Korea, Thailand, and past adopting the expertise. many of these hospitals proudly use the IBM Watson brand of their marketing, telling patients that they’ll be getting AI-powered melanoma care.

Conceptual photo-illustration imagining IBM’s AI Watson as a concerned doctor, with the Watson logo standing in for the doctor’s face. Illustration: Eddie man

in the past few years, these hospitals have begun publishing stories about their experiences with Watson for Oncology. In India, physicians at the Manipal complete melanoma core evaluated Watson on 638 breast cancer situations and located a seventy three p.c concordance fee in medication innovations; its ranking turned into introduced down with the aid of poor performance on metastatic breast melanoma. Watson fared worse at Gachon tuition Gil clinical core, in South Korea, where its top options for 656 colon cancer sufferers matched those of the specialists handiest forty nine percent of the time. doctors said that Watson did poorly with older patients, didn’t imply certain average medication, and had a trojan horse that brought about it to advocate surveillance instead of aggressive remedy for definite patients with metastatic melanoma.

These stories aimed to assess no matter if Watson for Oncology’s know-how performs as expected. but no study has yet shown that it merits patients. Wachter of usa says that’s a becoming problem for the business: “IBM knew that the win on Jeopardy! and the partnership with Memorial Sloan Kettering would get them in the door. but they vital to display, fairly promptly, an impact on challenging effects.” Wachter says IBM ought to persuade hospitals that the system is value the fiscal funding. “It’s truly critical that they come out with successes,” he says. “Success is a piece of writing in the New England Journal of medicine displaying that after we used Watson, patients did stronger or we saved money.” Wachter continues to be waiting to look such articles seem.

Sloan Kettering’s Kris isn’t discouraged; he says the expertise will best get stronger. “As a tool, Watson has surprising skills,” he says. “I do hope that the americans who have the brainpower and computer power stick with it. It’s an extended haul, however it’s value it.”

Some success stories are emerging from Watson health—in certain slender and managed purposes, Watson seems to be adding value. Take, as an example, the Watson for Genomics product, which changed into developed in partnership with the university of North Carolina, Yale tuition, and different institutions. The device is used by way of genetics labs that generate stories for practising oncologists: Watson takes in the file that lists a affected person’s genetic mutations, and in just a couple of minutes it could actually generate a record that describes all of the valuable medicine and scientific trials. “We enable the labs to scale,” says Vanessa Michelini, an IBM amazing Engineer who led the development and 2016 launch of the product.

Watson has a relatively handy time with genetic suggestions, which is presented in structured information and has no ambiguity—both a mutation is there, or it’s not. The tool doesn’t employ NLP to mine medical facts, as an alternative using it most effective to search textbooks, journal articles, drug approvals, and medical trial announcements, the place it looks for terribly certain statements.

IBM’s companions on the school of North Carolina published the primary paper in regards to the effectiveness of Watson for Genomics in 2017. For 32 p.c of cancer patients enrolled in that look at, Watson spotted probably critical mutations no longer recognized via a human assessment, which made these patients first rate candidates for a new drug or a just-opened scientific trial. however there’s no indication, as of yet, that Watson for Genomics ends up in enhanced outcomes.

The U.S. department of Veterans Affairs makes use of Watson for Genomics reports in additional than 70 hospitals nationwide, says Michael Kelley, the VA’s countrywide software director for oncology. The VA first tried the gadget on lung melanoma and now uses it for all strong tumors. “I do believe it improves affected person care,” Kelley says. When VA oncologists are picking out a treatment plan, “it is a source of assistance they can carry to the dialogue,” he says. however Kelley says he doesn’t feel of Watson as a robot doctor. “I are likely to think of it as a robotic who's a grasp clinical librarian.”

Most medical doctors would probably be delighted to have an AI librarian at their beck and speak to—and if that’s what IBM had initially promised them, they might no longer be so disillusioned nowadays. The Watson health story is a cautionary story of hubris and hype. everyone likes ambition, each person likes moon pictures, however nobody desires to climb into a rocket that doesn’t work.

so far, Few Successes IBM began its effort to convey Watson into the fitness care industry in 2011. because then, the business has made virtually 50 announcements about partnerships that have been intended to enhance new AI-enabled tools for drugs. Some collaborations labored on equipment for doctors and associations; some worked on purchaser apps. while many of these alliances have not yet led to commercial items, IBM says the research efforts were advantageous, and that many relationships are ongoing. here’s a consultant sample of projects.

this text appears within the April 2019 print concern as “IBM Watson, Heal Thyself.”


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This Report Will Give a Nitty-Gritty Evaluation of Significantly Accompanying:

Item outline and extent of Global Customer Journey AnalyticsSignificant players in the Global Customer Journey Analytics Market.Global Customer Journey Analytics players/providers Profiles and Sales information.Customer Journey Analytics Marketing procedure examination and improvement patterns.Customer Journey Analytics Market impact factor examination.Developing specialty fragments and local Customer Journey Analytics markets.An experimental evaluation of the direction of the Customer Journey Analytics.Real changes in Customer Journey Analytics elements/ sub industry segments.Chronicled, present, and imminent size of the Customer Journey Analytics from the point of view of both revenue and sales volume and average price.

It is vital for an organization to have the capacity to catch the mindshare of their gathering of people as it is characteristic for an organization which is planning to see a development in the Global Customer Journey Analytics. This is conceivable through a knowledgeable network administration and develops an advertising plan for the Global Customer Journey AnalyticsIndustry.

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IBM System x3650 M5 review | killexams.com real questions and Pass4sure dumps

IBM may have sold its commodity server business to Lenovo but that hasn’t stopped it launching a fifth generation of System x servers. Once the sale goes through the only physical change will be on the front nameplate and in this exclusive review, we take a closer look at the new x3650 M5 2U system.

The M5 continues IBM’s pay-as-you-grow mantra so users can start small and upgrade on demand. Along with support for Intel’s E5-2600 v3 Xeons, the M5 has massively improved internal storage while IBM’s Trusted Platform Assurance provides much tighter security.

The server will support up to 1.5TB of TruDDR4 memory when 64GB LR-DIMMs become available later this year. Data centres will like the improved energy efficiency as it allows the server to keep a cool head at 40°C.

The new internal design increases expansion potential massively with support for nine PCI-Express cards

Store more than before

IBM offers an insane amount of storage options so it’ll pay to do some research first. The server supports up to 26 SFF drives but its myriad RAID options are confusing.

Systems start with an embedded non-RAID 6Gbps SATA controller supporting eight drives but you can fit three more drive cages and depending on the model, add up to four ServeRAID 12Gbps SAS RAID cards. The front panel has the same 8+8+8 drive bay design as HP’s DL380 Gen9 with the two extra SFF drives installed at the rear. 

For LFF drives, you can have twelve at the front and two more at the back. IBM’s SAS expander kit will be required for storage dense configurations and the ServeRAID cards will also need FoD (feature on demand) upgrades to activate RAID5 and 6 support. 

The IMM2 is more basic than Dell and HP but IBM’s Advanced upgrade enables remote control

Internal overhaul

IBM’s internal design offers a remarkable expansion potential as there’s room for nine PCI-Express slots – three more than the DL380 Gen9. Two vertical PCI-e slots are squeezed in between the pair of 3-slot risers while the ninth is dedicated to a horizontally mounted ServeRAID card. 

The four large fans in the x3650 M4 have been replaced with six hot-swap dual-rotor modules. IBM’s calibrated vectored cooling splits them into two zones and combining this with 750W Titanium PSUs allows the server to operate in higher ambient temperatures.

IBM’s TruDDR4 memory offers some interesting advantages. Using their built in signature, the server will authenticate them and IBM claims that in two RDIMM per channel configurations, they’ll run up to 12 per cent faster than Intel’s specification.

IBM’s Systems Director is easy to deploy and capable of managing all your network systems

Step away from the server

A big concern with the impending sale has been manufacturing and supply chain security. IBM tackles these issues with its Trusted Platform Assurance (TPA) initiative which uniquely uses two TPMs (trusted platform modules) – one on the server and another in the embedded IMM controller.

TPA adds extra security layers on top of Intel’s TPM. This allows firmware code to be locked between the system and the IMM.

Other security measures designed to stop pre-production tampering are firmware signing, measured boot, verified boot and firmware supply chain attack detection. Secure firmware rollback is also designed to stop illicit updates of previous firmware versions.

The Systems Director Active Energy Manager plug-in keeps track of power consumption and temperatures

Power and management

The review system came with two 900W Platinum PSUs and along with 128GB of TruDDR4 memory, we specified dual 2.6GHz E5-2690 v3 Xeons. Members of Intel’s Advanced Haswell-EP group, these 12-core models are faster than the 2.3GHz 14-core E5-2695 v3 Xeons we specified in our DL380 Gen9 but have a higher 135W TDP.

Even so, the server fared very well in our power tests with it drawing 118W in idle and 367W under maximum load. The DL380 Gen9 we reviewed had half the memory and pulled 90W in idle and peaked at 352W.

To install Windows Server 2012 R2 we still had to boot the server using IBM’s ServerGuide DVD. Dell streamlined this with its Unified Server Configurator four years ago while HP introduced the Intelligent Provisioning feature in its Gen8 servers in 2012.

The embedded IMM2 controller isn’t as feature rich as Dell’s iDRAC8 and HP’s iLO4 but IBM’s System Director matches Dell’s OpenManage Essentials and HP’s Systems Insight Manager for features and is easier to deploy. From its tidy console we could run network discoveries, deploy software, view inventories and use the Active Energy Manager plug-in to monitor server power consumption and temperatures.

Overall

The x3650 M5 looks good value with IBM’s Express models starting at only £1,432. The system we reviewed has an RRP of £10,442 but this does include a whopping 128GB of TruDDR4, a pair of 12-core Xeons plus dual M5210 RAID cards and reseller prices will most certainly be lower.

This will be the last System x series from IBM and it goes out with a bang as the x3650 M5 offers the most comprehensive range of features we’ve yet seen in its rack servers. Remote management and OS deployment tools need to be brought in line with Dell and HP but its storage options, TPA platform security and excellent build make for a very capable rack server.

 

Specifications 

Chassis: 2U rack

CPU: 2 x 2.6GHz Xeon E5-2690 v3 

Memory: 128GB 2133MHz 1.2V TruDDR4 (max 1.5TB with 64GB LRDIMMs)

Storage: 300GB IBM 10K SAS 2 hot-swap hard disk (max 26)

RAID: 2 x IBM ServeRAID-M5210 12Gbps SAS/1GB cache/BBU

Array support: RAID0, 1, 10 (5, 6 optional)

Expansion: 9 x PCI-e Gen3 (with two risers)

Network: 4 x embedded Gigabit

Power: 2 x 900W Platinum hot-plug PSUs 

Management: IMM2 Advanced

Other: Enterprise rail kit and cable management arm

Software: IBM ServerGuide and Systems Director

Warranty: 3yrs on-site NBD


Lenovo, IBM x86 server strategy gets clarity as acquisition looms | killexams.com real questions and Pass4sure dumps

With Lenovo expected to close its IBM x86 server business acquisition by year end, a glimpse at the combined server product line has emerged.

Once the deal closes, IBM's System X and Flex servers with x86 chips will fill out Lenovo's high-end product line. Meanwhile, Lenovo's ThinkServer products will be targeted at small and medium-size businesses, according to an IBM presentation.

[ Get the latest practical info and news with Paul Venezia's The Deep End blog and InfoWorld's Data Center newsletter. ]

The companies on Monday separately introduced servers with Intel's new Xeon E5-2600 v3 chip, also announced Monday. But it also gave IBM -- which has been largely quiet since the deal was announced -- an opportunity to chime in on how it will add value to Lenovo's server offerings before and after the deal is complete.

IBM and Lenovo will combine to offer the widest range of server offerings in the industry, before and after the transaction is complete, IBM said.

Lenovo's always offered low-end servers, but the addition of IBM's technology will add a new class of high-end servers to its portfolio for applications like analytics and databases. Lenovo will cover the entire gamut of enterprise customers once it finishes the acquisition of IBM's x86 server business, which has already been approved by the Chinese and U.S. governments.

Lenovo announced it would acquire IBM's x86 server business for $2.3 billion in January. Rivals Hewlett-Packard and Dell have since aggressively pursued IBM's large customer base with the aim to switch some users over. But IBM and Lenovo have tried to diffuse any uncertainty by saying their respective product lines will remain intact and that levels of support will remain the same.

IBM and Lenovo have worked together on sales and support of servers in the past years.

"After the deal closes, IBM will continue to provide maintenance delivery on Lenovo's behalf for an extended period pursuant to the terms of a five-year maintenance service agreement with IBM. Customers who originated contracts with IBM should not see a change in their maintenance support for the duration of the customer's contract," IBM said in a presentation slide that mentions "Lenovo's service commitment."

IBM will retain mainframe and server products with homegrown Power8 processors. Flex integrated servers use both x86 and IBM's Power8 chips, and IBM is expected to retain systems with the Power8 chips.

IBM's new System X M5 lineup with x86 chips include the new System x3650 M5 server, which is 2U in size and can have up to two 18-core Xeon chips, 1.5TB of memory and 86.4TB of storage. A smaller sibling, the System x3550, has fewer disk bays and 24TB of maximum storage capacity.

IBM also introduced servers for its NextScale System, which has a number of servers linked in a larger chassis. In addition, the company will also ship the System x3500 M5, a 5U tower server with 72TB of storage, in the first quarter next year.

Lenovo announced the ThinkServer RD550 and RD650 rack servers, which start at $1,829 and $1,929 respectively, and the TD350 tower server, which starts at $1,629. The servers will ship on Sept. 8.

Agam Shah covers PCs, tablets, servers, chips and semiconductors for IDG News Service. Follow Agam on Twitter at @agamsh. Agam's e-mail address is agam_shah@idg.com



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