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Pegasystems test

In dialog with: Rob Walker, Pegasystems | PEGACPBA74V1 braindumps and Free PDF

observe, this conversation took place just in advance of the coronavirus shutdown in Australia. also, some minor edits had been made to enrich clarity. Pegasystems can be accessed on the net right here.

iTWire: What brings you to Australia?

Walker: originally, they had a consumer engagement summit planned, where they invited a lot of their Australian and APEC consumers. however like many others, they ought to cancel that as a result of the virus concern. So presently i am travelling a lot of their purchasers.

iTWire: So, ethics in AI. outline it!

Walker: yes. neatly...

iTWire: I do not think any one is of the same opinion!

Walker: No, well, we'll focus on how that works. but in essence, or not it's obviously the idea that with AI [you're] really dealing with a lot of valued clientele and [those] valued clientele making 'customer resolution.' You just need to attain an ethical responsibility in addition to, truly sane company coverage, to get the ethics in, as a result of, there may be tonnes of opportunities for AI to go rogue. right... these algorithms are self-studying - there are many examples like Microsoft Tay, as an instance, in case your remember, the chatbot that they launched, which changed into actually, really a laudable effort, right? And it became, immediately corrupted, grew to be racist, and it changed into in fact bad.

however anyway, that's the aspect that a lot of the manufacturers, the massive companies that they talk to, particularly regulated industries, but regardless, any big company is truly concerned about. And the issue is, you can not just say, well, let's now not do AI, correct, since it's particularly positive. so you really need to get the ethics in AI; make sure that it behaves adequately.

iTWire: talking of AI machine getting to know, I saw an excellent instance of it not doing what they are expecting, I've shared this story with a couple of americans... however somebody had programmed a ML device to respect foxes from canine. And it was doing about 85% appropriate. It become doing quite neatly. And somebody asked, what is it definitely doing? as a result of they'd given it lots of examine images and it pointed out, ok i know what i'm doing. They eventually worked out that if it noticed snow in the background became a fox. If it did not see snow, it become a dog.

Walker: You even have an instance of that where that came about for the for the armed forces, from satellite tv for pc photographs, trying to look tanks. And it turned out that all of the workouts that they informed it on have been all within the morning - so, it became foggy. They have been tanks; otherwise they were no longer! however it is precisely the type of factor. in order that appears to be silly mistake, however this may be, racist, misogynist, ageist, it can be loads of various things, and especially with the algorithms that you've got now, which can't clarify themselves, right. So, it's even, reasonably a feat to even figure out if it become attempting to find, the clouds or the fog or the snow. and that's [the] risk, they should definitely get off the desk.

iTWire: So, does that mean that any bias in that atmosphere is the fault with the practising set?

Walker: No, I consider, because lots of the working towards set will basically be biased. I suggest, any enterprise that is not having a random consultant set of customers might be biased, like, a bank, as an instance, usually has valued clientele that, pay the bills and the mortgages and hence, it's no longer a very statistically, representative pattern. So, it's now not the training set, however it is the responsibility of... and here is one of the vital things round ethical AI, nevertheless it's simply part of it, the place the information scientists need to take accountability, no matter if... presently there's a little little bit of a tug of battle between the records scientists and the AI because people feel like, "oh, the AI is going to do what we're doing..." actually, the scientists (and people in popular) may still in reality take control over AI, however also be chargeable for the outcome. Why? because it's no longer rocket science, Detector bias. They simply should do the work.

iTWire: precisely. as a result of they saw the same issue with these endless discussions about facial awareness systems that don't seem to be decent with individuals who are not Caucasian... and aren't male.

Walker: however, frankly, they're form of the bias detection. I suppose there is a number of staple items that you need to see. So first of all, bias is a great deal easier to observe if the algorithms can explain themselves.

iTWire: yes. as long as that you could recognise that you simply're introducing bias.

Walker: sure, however there is this big, groundswell around these very opaque fashions, which are very powerful, so this is what they ought to take into account. So, so each from a business standpoint, these models may also be truly advantageous, however also from a customer perspective. Like probably the most examples I all the time use is in lending. If the algorithm wasn't biased, however you couldn't explain the job, however in reality works. or not it's now not simply first rate for the financial institution, that they do not deliver out loans to americans who do not pay them, it's also in fact first rate for shoppers. Yeah, otherwise you get them into that, and we've considered what occurs. So, in principle, basically refined algorithms aren't evil. but if they can't explain themselves, there's an issue, and that is the reason where the ethics are available in - they believe strongly that there must be an AI coverage in vicinity in these significant establishments where you say, k, this this sort of algorithm that you could use for this kind of intention, but now not in a different way. And, and that coverage must be enforced - it needs to be at the coronary heart of the AI equipment. So, as an example, you may wish to go all out with deep researching algorithms to examine what's the most beneficial historical past picture, for an ad might be. it's a extremely distinctive thing and opting for if you are going to get a $25,000 mortgage. that is where you doubtless (now not just from an ethical perspective, however additionally for the regulator) need to be in a position to clarify your resolution technique.

iTWire: should you spoke of 'historical past,' i was thinking, even in the event you're doing image working towards, and coming returned to my snow instance, you cannot simply be conscious of the foreground. however you need to be conscious of the atmosphere through which the recognized object or behaviour resides.

Walker: yes. you should recognize exactly what they are . but as an instance, if that model had been a transparent model (some of the algorithms that can clarify themselves by means of just many examples), it will have just referred to, "Oh, pay attention, the primary aspect i'm taking a look at is the heritage or is the color white" and americans would say, "k, why are you doing that," in order that would were a clue. but if you don't know, then... The different thing about ethics and bias is additionally that the golden general should now not be some type of platonic most fulfilling of a choice in saying, "that might be perfect." - the golden common is human judgment. . So I all the time say, smartly, bound they will inform foxes and dogs apart, but individuals that are going to repay their loans or no longer, or who are going to respond favourably to do whatever, maybe even a scientific treatment... it really is an entire diverse ballgame. And AI needs to be superior. It would not must be superb.

iTWire: So where may still the ethics come from? what's the groundwork of the ethics?

Walker: The ethics during this case... there are superficially two schools. One school is like: AI will increase ethics, possibly even morality, but I consider itself, because it will simply look at things and will be studying books, it is going to look at Wikipedia on the internet, and it will just work out what's decent and evil and those form of things.

I don't think they may still be watching for that. because presently this is now not the case.

iTWire: that's a bit way off!

Walker: yes, or not it's an enchanting case. i'm certain there's lots of researchers making an attempt to determine that out. as a result of, let's now not neglect that (depending on what college of philosophy you are or what religion) people themselves, enhance a sense of ethics, most humans do.

We don't think you could watch for AI to Strengthen a sense of ethics itself, it should come from the humans. So, they strongly suggest a hybrid model, where you do the AI [inaudible] do all form of classification, and all the chances and recommendations. however's all embedded in a really prescriptive moral framework of what should still in reality be finished.

An illustration: we've this factor, that lots of their shoppers are the usage of, called 'subsequent gold standard motion.' It asks, "what do you should do right now with this customer?" what is the most beneficial motion to take - or not it's AI driven, but it surely's embedded in In an ethical framework, and as an instance, it could say the AI might say, hello, this adult is absolutely in the market for this loan, can be receptive to it, would also be eligible, is over 21. anything the guidelines are, however truly already has a lot of debt and they definitely will not be including to it. that is a rule so you might just placed on excellent of [things]. but it's half of 1 gadget. So in the conclusion, the device would say, "k, propensity: excessive, eligibility: investigate, you be aware of, but suitability. Now, here's not authentic - they can sell it but they should not." And loads of their consumers that they work with, have exclusion rules like this. yet another example, right here in the community the CBA is the usage of their system, however they're very empathetic to people, that reside close to the wooded area fires that have been right here, the place they'd say, "k, smartly if you're really near that enviornment, here is likely not the time to remind you that you simply're late in your mortgage price. hiya, pay attention, they take into account you would more suitable deal with your first priorities and they will speak later... or how will they assist?" it's ethical, but the suggestions come from the people - however it's half of one device, where the AI may additionally have said, "whats up, this grownup is late. that's a risk from this grownup." but it really is truly a hybrid take - technology and humanity in a single equipment.

iTWire: They all the time come returned to the trolley motor vehicle issue – a runaway tram in San Francisco, barrelling down the hill. you are standing on the bottom and you may either let it go into the water, or you can switch it to yet another music and have it hit some people.

Walker: So it truly is really the morality component. here is where the golden common is available in, right? as a result of they are expecting, "Oh my god, what is that this AI going to do?" however firstly, what would humans do? let's examine if or not it's more desirable than that, and actually even from a philosophical factor of view, you can also be Kantian, appropriate? It can be 'what is truly the correct factor to do,' that you would be able to have utilitarian approach... So it's now not even a because they know what is [the] correct [thing] to do.

iTWire: If [we did], there will simplest be need for one thinker!

Walker: yes, sure. it's exactly appropriate!

that you may say, smartly, it be definitely cool. That adult sacrificed himself. but, possibly that grownup has, three younger youngsters and basically would not have. but regardless, I don't suppose presently they should be trying for AI to resolve that. it truly is a very pleasing factor, but given that AI is already, so pervasive - they [Pegasystems] do business with these massive brands, they make 10s of tens of millions, every now and then a whole lot of hundreds of thousands of selections every day, and it be the entire approach up, so that they could not even determine them. so you should be sure that the gadget that's making those decisions is making choices that meet your ethical instructions, and for this reason, you deserve to have the controls the AI policy and AI controls in place to be sure that in reality happens, as a result of there's no method that somebody can examine a hundred million selections.

iTWire: but they see much more than these a whole lot of tens of millions of choices per day, when with high frequency trading - they're making lots of selections a second.

Walker: precisely, yes, they try this. but aside from the ethics of the whole element, it truly is now not a consumer resolution, or not it's no longer similar to a liability to the business, it's also part of the brand. So I get asked loads of times, "howdy, they in reality need to make sure that this AI issue that you're telling us about, however it be clinically actually, in fact good at, increasing their profitability or their revenues, they want to be sure that their manufacturer values are reflected. They don't want to be really good for three hundred and sixty five days, and then they get the unhealthy press and people say, well, you comprehend... and then it all crumbles down." So, it be also a very respectable enterprise choice to try this. And, and that i would even... so here's about ethics, however i would even insert empathy into the equation. So they in reality are trying to make sure that empathetic concerns like a bushfire consideration as an instance. So if somebody is in definitely antagonistic situations, should you be selling them? you should definitely truly be reminding them that they are... no, that is not what you might do to a friend. Now you shouldn't have to be pals, maybe with your customers, [but] you in reality should still deal with them equally.

iTWire: At some aspect in their future, we'll have some pretty pervasive societal AI, for desire of a better term, and maybe at some factor, this AI decides to accuse me of against the law. So I arrived in court. who's my accuser?

Walker: yes, it be a pretty good point, I feel, i'm not a philosopher per se, however i might say this case, or not it's society itself. If it really is the AI, they need... can i just double down on that instance? What in case you were innocent, and there was an AI judge, and nobody knows what it does, but it's been extra effective than human judges, what would you just like the person to do? Or let's take this into medical cures. here's an instance I hear the entire time as a result of individuals say, well, FDA, it [a medical AI] needs to explain itself. They cannot have all these weird algorithms that they do not consider. however what if or not it's doing a medical prognosis for cancer? And or not it's basically better than humans are.

iTWire: We're given that already.

Walker: yes, but what do you desire? Do you want it to clarify itself and be nearly as good as a human medical professional or now not clarify itself and really cure you? that is the slippery slope of AI with a promise of in reality respectable decisions that you might also no longer be [able to] be aware. it be like you're speakme to a superior intelligence off the guy who misplaced at Go, he idea he became playing a god. And he could not even imagine that he would lose because he is so good and he become obliterated.

iTWire: and i heard his remark afterwards, he was asserting the machine was making alien strikes, they were now not strikes that a human would make.

Walker: I even have seen it at a different scale. I've seen algorithms come up with options to problems, chiefly these evolutionary algorithms that adapt in response to evolutionary ideas. so you [for example] you're simulating air toxins. for a hundred million years, nevertheless it's [just] 10 minutes on the computer. And it comes with answer that definitely makes you say... as that Go player spoke of, it be alien.

So this is why I felt in my present position because the head of AI for Pega that they need to make the controls in reality a part of the utility. You cannot have it outside of it, as a result of somebody will... you need to be sure that in case you take these next most effective action selections, that the AI it's gobbling up all the percentages and the chance and the alternatives and the suggestions is in fact embedded in guidelines of ethics. and you can in reality see, 'what does this actually do?' and that's the reason also where the bias comes in. So to your oldest combinations of rules and policies and AI, what's that mixture definitely going to do? because I don't discriminate towards AI. Human choice making just isn't biased both. So it truly doesn't matter where the bias is coming from, or the choices are coming from you just need to objectively choose the result - and that must be built into these engines that are touching customers a hundred million instances a day.

iTWire: The other pleasing thing is situations where AI does should engage with people but ultimately might not and... my main example is self riding vehicles. at this time, a self using vehicle has to be tremendously neatly built, because it has to take care of americans. At some element we'll ban americans using their personal cars. And the AI receives a whole lot more convenient.

Walker: sure...and they can additionally seek advice from different automobiles. Say "hiya, provide me half a 2d right here [I need to cut across you]."

So that is to their past factor... so first of the entire automobiles could be lots easier and every little thing will be much more... if only they have been looking for transport, now not simply looking additionally to force a automobile as an adventure (which a lot of us like). it could had been solved already undoubtedly, because it is fully the mixture of AI and humans. now not to point out that certainly the second the self-riding automobiles take off they are able to have humans to be able to just move the street. Say, "let's have a look at what occurs" [if I jump in front of a self-driving car].

iTWire: They'd simplest do it once!

Walker: sure, probably!

but it surely is true now that AI is at present one of the vital friction we're seeing. not that there is that a great deal money truly. I think or not it's going remarkably smartly for the size of AI already, as a result of people think oh, "AI is coming." smartly, yes, or not it's coming, in the sense it's going to go a great deal further than this. but it surely's there. You can't consult with any most important business that is not the usage of AI, or quickly that might be the case. however the friction is in reality the place AI and humans work as well.

As I mentioned, it's not regarded one equipment, they now have the AI and you have the humans, but it's all about resolution making within the end, and all the handle systems may still apply to each.

iTWire: So easily, AI is readily taking the human resolution-making process and making it sooner?

Walker: sure, sooner, however additionally improved. but faster is one issue. So it truly is where you get to the hundred million [decisions per day], but also truly an awful lot greater beneficial. as a result of now not in all circumstances, however in lots of circumstances, AI can simply take into account a thousand facts facets versus a human (specifically if it be a quick choice), perhaps 5, perhaps they are really smart americans and may juggle seven issues of their mind and make that [decision] with all their biases and their childhood fears and their feelings and their hormones all collide to make a choice. And it be no longer like all that staggering. not that we're dull, however it's very inconsistent. it's like asking one hundred people for a choice, and there can be 50 diverse opinions.

iTWire: while you're speakme, two books got here to mind. First changed into Kahneman's "pondering quickly and slow," which is the heuristic that they use - the quickly thinking is a heuristic they use to claim that 'this' is the reply, with out definitely brooding about it. And the other ebook, which you may additionally now not have heard of, is known as "We the individuals" with the aid of Peter Temes and Florin Rotar. Its absolutely about ethics in AI - or not it's a really, in fact first rate read.

Walker: I suppose this is it. completely as a result of no longer just thinking fast and gradual," there may be additionally "Blink," you understand, you've got these this [inaudible] ebook. And it's the, equal precept. it be like, "good day, make sure to trust your gut feeling" - i'm now not a big fan of that.

iTWire: i am best mid-approach through Kahneman's ebook and i'm considering the greater I study it, the more i am pondering how wrong you're [Kahneman] about so many issues.

You understand, undoubtedly, intestine feeling is basically first rate for those who reside on the savannah and whatever moves. and you just get it appropriate. Like a built-in evolutionary rulebook. In regular intestine feelings are truly, a mixture of a lot of biological strategies, which amazingly work most of the time. however I think or not it's mainly the lack of records - americans are definitely unhealthy, in well-known, in knowing what they do not know and AI as a minimum, maybe, might have a sense of that because it's more and more mathematical.

So at the least it might say, smartly, here's what I feel. however, I haven't looked at these other thousand information features. I didn't have time as a result of I best had like a millisecond. So, I could not keep in mind these other items. That form of component is, I suppose, is a crucial consideration.

iTWire: well, they have now, reached their disbursed time, I think now they have coated the theme reasonably well, so thanks very a great deal on your time.

Walker: yes, thanks.

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Certiport [3 Certification Exam(s) ]
CheckPoint [45 Certification Exam(s) ]
CIDQ [1 Certification Exam(s) ]
CIMA [2 Certification Exam(s) ]
CIPS [4 Certification Exam(s) ]
Cisco [352 Certification Exam(s) ]
Citrix [49 Certification Exam(s) ]
CIW [18 Certification Exam(s) ]
Cloudera [10 Certification Exam(s) ]
Cognos [19 Certification Exam(s) ]
College-Board [2 Certification Exam(s) ]
CompTIA [81 Certification Exam(s) ]
ComputerAssociates [6 Certification Exam(s) ]
Consultant [2 Certification Exam(s) ]
Counselor [4 Certification Exam(s) ]
CPP-Institute [1 Certification Exam(s) ]
CSP [1 Certification Exam(s) ]
CWNP [19 Certification Exam(s) ]
CyberArk [2 Certification Exam(s) ]
Dassault [2 Certification Exam(s) ]
DELL [18 Certification Exam(s) ]
DMI [1 Certification Exam(s) ]
DRI [1 Certification Exam(s) ]
ECCouncil [25 Certification Exam(s) ]
ECDL [1 Certification Exam(s) ]
EMC [134 Certification Exam(s) ]
Enterasys [13 Certification Exam(s) ]
Ericsson [5 Certification Exam(s) ]
ESPA [1 Certification Exam(s) ]
Esri [2 Certification Exam(s) ]
ExamExpress [15 Certification Exam(s) ]
Exin [42 Certification Exam(s) ]
ExtremeNetworks [3 Certification Exam(s) ]
F5-Networks [20 Certification Exam(s) ]
FCTC [2 Certification Exam(s) ]
Filemaker [9 Certification Exam(s) ]
Financial [34 Certification Exam(s) ]
Food [4 Certification Exam(s) ]
Fortinet [17 Certification Exam(s) ]
Foundry [6 Certification Exam(s) ]
FSMTB [1 Certification Exam(s) ]
Fujitsu [2 Certification Exam(s) ]
GAQM [12 Certification Exam(s) ]
Genesys [4 Certification Exam(s) ]
GIAC [17 Certification Exam(s) ]
Google [14 Certification Exam(s) ]
GuidanceSoftware [2 Certification Exam(s) ]
H3C [1 Certification Exam(s) ]
HDI [9 Certification Exam(s) ]
Healthcare [3 Certification Exam(s) ]
HIPAA [2 Certification Exam(s) ]
Hitachi [30 Certification Exam(s) ]
Hortonworks [5 Certification Exam(s) ]
Hospitality [2 Certification Exam(s) ]
HP [771 Certification Exam(s) ]
HR [4 Certification Exam(s) ]
HRCI [1 Certification Exam(s) ]
Huawei [34 Certification Exam(s) ]
Hyperion [10 Certification Exam(s) ]
IAAP [1 Certification Exam(s) ]
IAHCSMM [1 Certification Exam(s) ]
IBM [1547 Certification Exam(s) ]
IBQH [1 Certification Exam(s) ]
ICAI [1 Certification Exam(s) ]
ICDL [6 Certification Exam(s) ]
IELTS [1 Certification Exam(s) ]
IFPUG [1 Certification Exam(s) ]
IIA [3 Certification Exam(s) ]
IIBA [2 Certification Exam(s) ]
IISFA [1 Certification Exam(s) ]
Intel [2 Certification Exam(s) ]
IQN [1 Certification Exam(s) ]
IRS [1 Certification Exam(s) ]
ISA [1 Certification Exam(s) ]
ISACA [5 Certification Exam(s) ]
ISC2 [7 Certification Exam(s) ]
ISEB [25 Certification Exam(s) ]
Isilon [4 Certification Exam(s) ]
ISM [6 Certification Exam(s) ]
iSQI [9 Certification Exam(s) ]
ITEC [1 Certification Exam(s) ]
ITIL [1 Certification Exam(s) ]
Juniper [68 Certification Exam(s) ]
LEED [1 Certification Exam(s) ]
Legato [5 Certification Exam(s) ]
Liferay [1 Certification Exam(s) ]
Linux-Foundation [1 Certification Exam(s) ]
Logical-Operations [1 Certification Exam(s) ]
Lotus [66 Certification Exam(s) ]
LPI [25 Certification Exam(s) ]
LSI [3 Certification Exam(s) ]
Magento [3 Certification Exam(s) ]
Maintenance [1 Certification Exam(s) ]
McAfee [9 Certification Exam(s) ]
McData [3 Certification Exam(s) ]
Medical [70 Certification Exam(s) ]
Microsoft [413 Certification Exam(s) ]
Mile2 [3 Certification Exam(s) ]
Military [1 Certification Exam(s) ]
Misc [2 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
MuleSoft [1 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
NBSTSA [1 Certification Exam(s) ]
NCEES [2 Certification Exam(s) ]
NCIDQ [1 Certification Exam(s) ]
NCLEX [3 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
NetworkAppliance [42 Certification Exam(s) ]
NetworkAppliances [1 Certification Exam(s) ]
NI [1 Certification Exam(s) ]
NIELIT [1 Certification Exam(s) ]
Nokia [8 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [38 Certification Exam(s) ]
OMG [10 Certification Exam(s) ]
Oracle [317 Certification Exam(s) ]
P&C [2 Certification Exam(s) ]
Palo-Alto [6 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
PCI-Security [1 Certification Exam(s) ]
Pegasystems [19 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [16 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [7 Certification Exam(s) ]
PRMIA [2 Certification Exam(s) ]
PsychCorp [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
Qlik [2 Certification Exam(s) ]
QlikView [2 Certification Exam(s) ]
Quality-Assurance [6 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real-Estate [2 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [9 Certification Exam(s) ]
RSA [16 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [13 Certification Exam(s) ]
SANS [2 Certification Exam(s) ]
SAP [98 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
SAT [2 Certification Exam(s) ]
SCO [10 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
ServiceNow [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [4 Certification Exam(s) ]
Splunk [3 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [137 Certification Exam(s) ]
Teacher-Certification [4 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [18 Certification Exam(s) ]
Trainers [3 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [7 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [34 Certification Exam(s) ]
Vmware [76 Certification Exam(s) ]
Watchguard [1 Certification Exam(s) ]
Wonderlic [2 Certification Exam(s) ]
Worldatwork [3 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [6 Certification Exam(s) ]

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