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M9560-727 - Cloud and Smarter Infrastructure Cloud & Service Management Sales Mastery v1 - BrainDump Information

Vendor Name : IBM
Exam Code : M9560-727
Exam Name : Cloud and Smarter Infrastructure Cloud & Service Management Sales Mastery v1
Questions and Answers : 53 Q & A
Updated On : April 18, 2018
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M9560-727 Certification Brain Dumps Source : Cloud and Smarter Infrastructure Cloud & Service Management Sales Mastery v1

Test Code : M9560-727
Test Name : Cloud and Smarter Infrastructure Cloud & Service Management Sales Mastery v1
Vendor Name : IBM
Q&A : 53 Brain Dump Questions

IBM Cloud and Smarter

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IBM’s New Watson Assistant Helps inns construct Smarter Voice and Chat platforms | killexams.com real questions with brain dumps

This submit is fashioned content material created by means of the SkiftX brand content team for our Skift Cities platform launching in April 2018. gain knowledge of extra about what the SkiftX manufacturer content material group can do for companions right here.

IBM launched Watson Assistant this month at its annual IBM believe conference in Las Vegas, designed to bring business-grade artificial intelligence to its partners, with an early emphasis focusing on the hospitality and automotive industries.

the upward thrust of voice and chat platforms, together with Amazon’s Alexa, Apple’s Siri, Microsoft’s Cortana, and Google Assistant, are reshaping how we engage with machines in our personal residences, offices, and all over else on the earth. These AI-powered digital assistants are also driving the future of conversational commerce to extend how manufacturers connect with consumers on a extra customized, particular person stage.

Watson Assistant has now joined their ranks, so what does that suggest for the resort sector and the visitor user adventure?

IBM is proposing 5 differentiators keeping apart Watson Assistant from others, in particular Alexa. in the remaining 12 months, a starting to be range of inn operators have been introducing Amazon’s platform into their residences to answer the demand for smarter resort rooms.

First, Watson Assistant is enterprise-degree artificial intelligence versus client. It’s now not designed for your fireplace mantel or kitchen counter or workplace desk. It was developed to integrate with totally advanced lower back-end programs, both at the property stage and brand-extensive.

2d, manufacturers can white label Watson Assistant. That potential inn visitors received’t be verbally speaking or texting in chat to interact Watson principally. They’ll be talking without delay to Hilton’s “Connie” robotic, or The Cosmopolitan Las Vegas’ “Rose” chatbot, or whatever thing id any brand comes up with for its purchaser-dealing with digital assistant. Whereas, when guests these days at the Westin Buffalo talk to an Amazon Echo, they’re speaking to Alexa (and Amazon) — not Westin.

Third, manufacturers hold their statistics. With Watson Assistant, lodges are not sharing their first-birthday celebration records with IBM, which is a massive concern for all brands because the contemporary fb scandal suggests. When hotels set up Amazon Echo gadgets of their rooms, the statistics derived from visitor engagement is captured through Amazon.

subsequent, as a result of IBM’s company mannequin making certain facts privateness, inns can greater effectively companion with businesses all over their area. That could ostensibly position large container manufacturers greater as destination portals to provide local travel experiences aligned with visitor preferences.

finally, motels can either combine Watson Assistant voice functionality into their present chatbots and apps, or they could construct new voice and chat structures on desirable of the Watson platform. the use of The Cosmopolitan’s Rose bot as an example once again, the lodge might work with Watson Assistant so visitors can really speak to the cheeky female digital concierge.

here’s the IBM launch video announcing Watson Assistant.

Skift Q&A: IBM Watson Assistant

We spoke with Bret Greenstein, VP, IBM Watson IoT, to dive deep into how Watson Assistant may probably revolutionize the lodge guest experience.

Skift: What’s the big innovation right here that differentiates Watson Assistant from different platforms, exceptionally Amazon’s Alexa?

Bret Greenstein: I believe it’s extraordinary that the market itself has type of embraced the theory of digital assistants, but most of them have been aimed toward what i would believe to be ordinary advantage, daily life, and residential use circumstances. That’s made each person comfy with the concept of talking to their methods, to their machines, to their things in their homes.

We noticed very naturally the want for our shoppers to go deep, to be enormously particular about what they integrate into their lower back-end methods. They should have in-depth potential of the company technique after they expose their customers to an assistant to elevate their customer provider. There become additionally the should integrate assistants with their personal company, and to do it with absolute facts privateness.

We watched some of our own consumers dabbling in one of the vital customer AI, and attempting to work out what it could do for them. What they discovered is it didn’t definitely adapt to their enterprise model or their brand experience. but, it did get people to begin asking some primary questions.

So we spent the final 12 months and a half doing deepest pilots, such as the work at Thomas Jefferson clinic [Philadelphia], for instance, to put Watson in sufferers’ rooms to aid them handle the room settings and access help more easily. We did work with local Motors in their self-riding motor vehicle with a purpose to deliver an interface for the broader public. That helped us be taught fairly slightly round engagement and making consumer design fun, however also personalization, so we may relate to distinctive passengers.

after which, it was us in reality just being attentive to purchasers in car, hospitality, and every person who’s making an attempt to figure out how they can extend their manufacturers with a conversational interface, devoid of giving away their manufacturers. which means, how do they study their clients a good way to carry more desirable carrier, without giving away all these particularly helpful insights about their users?

Skift: are you able to clarify to your phrases the change between buyer AI and what we’re speakme about right here, business AI?

Greenstein: smartly, the methods and technologies don’t vary all that lots. We’re speakme about desktop discovering in AI, which are well dependent technologies. The change is how you practice them. It’s the styles of statistics and integrations you build into it, and the statistics privacy, and the commercial enterprise characteristics.

for instance, in a lodge, there’s a considerable challenge with having diverse people going via lodge rooms day after day. The account and all the advice within the assistant is tied to you for this sooner or later you’re in that inn. but the next day, a person else is in that inn. So, it’s very, very essential that we can be sure the privacy and deliver the personalization aspect for the particular person person, after which cache out and get rid of anything else that shouldn’t be there for the next visitor. Very, very crucial.

The other issue is, contraptions deserve to be managed contraptions. The factor you purchase and stick for your living room is a tool that simply you control. but if you put a thousand of them in a hotel, you’ve received to manipulate firmware updates and safety, and make sure that they’re no longer moved, and ensure they’re all working well. So, there’s device management features additionally that an commercial enterprise or a resort would expect that a house person could not.

Skift: You mentioned local Motors in Phoenix, who we’re very popular with. They partnered a couple years in the past with IBM to combine Watson into their self reliant Olli electric powered shuttle. That become probably the most first use instances for a customised Watson assistant in the mobility area. What have you realized from that integration within the closing year or so?

Greenstein: a pair things. One is that the interface and the conversational design needs to be engaging and fun, and intensely a great deal significant to the styles of issues people are doing in that environment. So, we developed very particular content material use situations for Watson within the shuttle that americans wish to recognize when they experience in public motors. We used lots of crowdsourcing to work out the sorts of questions people ask, and it became things like, “Am I going to be late?” and “Why are we slowing down?” or “will we cease right here?” And we found lots of methods people say these issues with lots of distinct accents and methods of speaking.

We additionally did a deep integration into the shuttle itself. Watson is aware the information coming off the automobile, and the way, say, it’s slowing down since the roads are slippery. That occurs in true time, and in context. I believe what we bought from that become, if you’re going to head right into a self-riding motor vehicle, you ought to establish trust with the customer, as a result of there’s no driver to yell at. so that you ought to have confidence the automobile, which skill you ought to have faith it knows you. by demonstrating that Watson understands you, and answers in context, it dependent a degree of have faith you may not locate in different places, and that makes americans a great deal greater comfortable.

Skift: So now you’re expanding on that gaining knowledge of and moving deeper mainly into hospitality and automobile. For resort operators, how is Watson Assistant going to enhance the visitor experience?

Greenstein: It’s about the deep integration with the inn company and the resort. So, for those who go to a hotel, be sure to be able to walk into your room and ask, “where is a very good place to devour,” or “where’s the gymnasium and what hours is it open?” simply whatever matters to you should you’re there. The digital assistant should still comprehend the facts coming off the resort management gadget and the sites, and anything about the resort, and all documentation. And that stuff should be presented returned to you in as herbal a way as viable, and also you should have true answers, not canned. If the hours exchange, or if somebody is out to lunch and isn't on the front desk, you should definitely be aware of that.

Skift: So, you’re saying, it’s all about programming the Watson Assistant platform certain to the hotel company and some thing region it’s in, by means of feeding it all of the data it needs from each the brand and the property?

Greenstein: we now have a large set of capabilities that all customers have, and then we now have trade-specific content material for motels. First, Watson can also be customized especially for a sequence, whether it’s Hilton or Marriott or a different brand, to combine all of the brand-level content and data into the gadget.

For a particular inn, Watson is deeply built-in with the room handle methods, the hotel management systems, and the service request methods. We’ve developed those integrations and we can integrate many of them now into a particular building and anything around it. we can go as deep as the inn desires to head.

after which we also use place and climate, because we purchased The climate enterprise, to head very, very deep into weather insights. we will additionally integrate area and climate statistics with crowdsourced tips from issues like Yelp and TripAdvisor to provide greater true-time, vicinity-particular tips to the guest. So, in case you wish to do anything outside the hotel, we know what’s happening. We understand where it’s busy, how to get somewhere, if it’s going to rain, the place you’ll like to eat, and all the stuff you could deserve to get things performed if you’re in a city.

Skift: k, let’s say I’m on the Hilton in Austin. It sounds like the americans at that Austin lodge don’t must replace tips themselves into the Watson Assistant platform because it’s integrated into the back-conclusion techniques. So, is it the equal condition for company-broad updates, as smartly, as a result of Watson is connected to the chain’s marketing and distribution ecosystem?

Greenstein: So, the hospitality industry in prevalent is quite complex. There are some chains where a significant crew can push out a common that goes across all hotels. There are others where the operators have a good deal extra affect and manage over what receives performed in the community. So, it’s a mixture. i can’t say it’s the equal every time. We work with some casinos, for instance, which are very lots focused on just that location, that building. after which there are chains which have a lot of standardization throughout their inventory. We do both fashions.

We additionally do rather a little bit of labor with companions that’s deeply integrated into retrofits and new development. We’re setting the necessities and designs to be the regular for televisions, shows, mirrors, and things like that in motels, a good way to build Watson Assistant into these across the portfolio. we can construct it, set it up, customize everything, and deal with preservation and operations. we can do the complete component, along with clever training, for example, the place we preload all the body of workers names.

but we also work with partners, like all international or regional system integrator, or lodge. There are loads of agencies that do services and design round hotels, and any of them are capable of combine Watson Assistant. The hotels themselves can, as well, if they have an IT personnel who wants to do the customization.

Skift: Is there a computer discovering potential here the place after, say, six months at a selected inn, the Watson Assistant has learned to deliver more nuanced place-centric suggestions in more sophisticated ways?

Greenstein: sure, but think of it as assisted learning. All of those techniques are ideal where the machine gaining knowledge of provides some feedback and enter to americans who can then tune and tailor the equipment in accordance with their own judgment as neatly. So, the equipment does gain knowledge of and it does catch, as an instance, when people should ask three or four times for whatever, or in the event that they ask the identical element every time.

There are distinct degrees of learning. one of those stages of researching is personalization. So, because you all the time ask for Greek salad should you go somewhere, we be aware of that your choice is Greek salad, and so the lodge is aware of that. no longer IBM, but the lodge is aware of that. and then if you go to Watson and say you’re hungry, it might reply, “Would you like your ordinary?” That’s a level of researching Watson can do at a personal degree for the resort chains, like gaining knowledge of your profile and your preferences stronger and greater.

We additionally do one of the crucial studying, or we’re normally improving, as an instance, the recognition. we will try this across customers, and we can try this through crowdsource information. we are able to preserve practising the AI to be more suitable at focus and understanding and [hotel] domain expertise. Then there’s also comments. When people appear to be sad or annoyed with solutions, there’s a whole dashboard analytics platform round that going returned to whoever did the equipment integration, that means the hotel or equipment integrator or IBM.

So, then we say, “smartly, look, these are the kinds of things that aren’t working well. probably we need to improve the documentation at the back of it so it feeds stronger solutions,” or issues like that. That’s why it’s kind of a hybrid. There’s issues that the equipment learns simply through collecting a lot of facts, after which there’s additionally assisted issues where we’re getting feedback and then tuning the gadget to make it a far better journey.

Skift: k, say I stayed at Hilton Austin and i engaged Watson Assistant. after which a month later I’m at a Hilton-operated property, of any flag, in Berlin. This might be an obtrusive question because everything is cloud-based mostly, but the Watson Assistant at the Berlin property acknowledges me, appropriate?

Greenstein: yes, we try this at the back of our client’s brand. I’m not announcing Hilton is committed to try this, so we’re simply using them as an instance right here. but Hilton has the ability to tie this to their profile and user account for you as a Hilton HHonors member, for example. They could create that seamless client experience across all Hiltons in the event that they choose to.

here's the place some chains have extra handle than others over how issues are used, however anybody who has any type of loyalty program has a extremely powerful opportunity to do the gaining knowledge of throughout their entire chain. these equal chains also have the skill to additionally hyperlink to their companions. they could choose to imply to you, for example, to connect your Hertz rental car account to your resort user account. So then, when your vehicle is arising to the lodge, the lodge is aware of it’s arriving. Watson can tell you the place it is. Your favorite song is additionally taking part in within the automobile.

in case you are looking to link your preferences between any favored partners, Watson can do this. The user could decide to connect these two bills collectively, as a result of then each corporations may give more suitable insights and greater carrier. So, there’s lots of competencies right here for our clients to manage their own facts to make use of across their personal chain, as well as of their companion ecosystem, provided that the users choose in for that.

Skift: Let’s discuss information ownership as a result of that’s this type of sizzling subject today. It looks that one of the most key differentiators for Watson Assistant is that manufacturers can white label the AI. And at the identical time, the company maintains its personal statistics, in preference to IBM getting it. are you able to extend on that?

Greenstein: exactly. sure, very nearly each customer we've wants to work with us as a result of they can lengthen their brand the use of Watson without their customers speaking peculiarly to Watson. in case you’re speakme to your BMW assistant on your vehicle, it’s powered with the aid of Watson, and it’s the equal exact Watson AI that may be powering anything else. but in this case, it’s BMW’s synthetic intelligence platform, and so you’re speaking to BMW. You’re attractive without delay with them, and the entire records belongs to BMW.

The reason that’s so crucial is that they’re establishing have confidence and credibility between themselves and also you as a motor vehicle proprietor or passenger. So what they use your statistics for is their choice, and that they have comprehensive manage over it. And this is key, they have to respect the desires and wishes of their clients to establish and maintain the have confidence in the company.

Our purchasers have told us very evidently what they desire, and it’s additionally our company mannequin — we don’t own their data. We assist them to convey more price and insight so that they can supply an elevated customer experience to their end clients via their information.

Skift: Ah, so when Wynn Las Vegas and different lodges are installation Amazon Echo instruments in their rooms so guests can access Alexa, that ability Amazon is holding all that statistics, proper?

Greenstein: suitable. proper. Amazon has entry to the facts because it all goes via Amazon’s functions. That’s an exquisite big exposure for most manufacturers. however, most groups aren’t enticing their clients this fashion yet. Most groups have a mobile app that barely any one uses. but if which you could get americans to engage without delay and interface with your enterprise through voice and dialog, which you can be trained an awful lot about your users. that can aid you to derive colossal insights about an individual likes or dislikes. those insights are the lifeblood of an organization.

once we started on this course with Watson Assistant and IoT, it became a time when most companies offered you stuff and that they never heard from you once more. it truly is, until there’s a guaranty difficulty or a grievance or anything. however they on no account realized about your entire every day needs. Now, within the case of hospitality, for both weeks before you go to a lodge, there are hundreds alternatives to engage with you. The resort can remind you of the climate, or allow you to learn about tremendous issues happening, like native hobbies, or issues to bear in mind to bring. There are lots of moments of engagement that may happen during the cell app, for example, with Watson Assistant giving you valuable insights.

and then in case you get to the hotel, Watson remembers every thing you observed in the weeks main up, and then it reminds you, “Don’t forget to go to this super live performance. It’s simply around the corner, and tonight the lodge has a distinct deal on it.” There are a lot of methods to engage you, and all of that information belongs to that resort. They’re the ones creating the experience, so that they should still be capable of manage the facts. Turning that over to Amazon or anybody else is barely a major publicity for them.

Skift: So, the large image right here is that this class of AI-more advantageous client carrier can boost loyalty between a manufacturer and a consumer, correct? because Watson plugs into the resort brand’s loyalty program such as you’ve outlined. So, is this the subsequent era of constructing brand loyalty?

Greenstein: it is, despite the fact I suppose it’s also about growing value and repair. each enterprise has a just a little distinct aim once they consult with us. a lot of it is set engagement, extending the company, building loyalty, however additionally proposing extra services. in the case of hospitality, these days, you go to a hotel and very frequently there are flyers for your desk reminding you to go to the pizza region across the corner. definitely, somebody has an agreement with that pizza location with a purpose to promote it in that inn. think about as a brand, you can start to motivate and suggest and refer americans to all kinds of areas. It’s additionally a chance to create new earnings streams via referring americans to other companies, according to the connection and any special offers you may have, which might be tied with the visitor’s personal preferences.

There are tons of how to add price in that event. via knowing your customer preferences, you might do things that assume people’s wants. We’ve built into Watson Assistant a way to wait and respond that you can ask for things, but we’re also capable of expect your needs according to patterns and triggers and moments that might happen. for example, I’m going to Chicago subsequent week and it’s going to rain. perhaps I checked, perhaps I didn’t, however the lodge in Chicago definitely should still recognize that. They may still job my memory to deliver my umbrella earlier than I’ve ever even asked. sure, it builds loyalty, however extra importantly, it builds value. and some of that value definitely can produce revenue, within the case of referrals to other groups.

Skift: So, are you announcing the hotel turns into a greater complete go back and forth portal into the native neighborhood, because you can integrate many extra agencies in the destination, and suggest them to the individual consumer with an awful lot more relevance? Is Watson, then, a go back and forth destination platform, because we’re going approach beyond partnerships with Hertz and the pizza place across the nook?

Greenstein: suitable. continually, within the early levels, it’s in fact more in regards to the lodge at the center, and recommendations in keeping with what they find out about your preferences, and the hotel’s partners and ecosystem. if they don’t have a associate — let’s say my preference is vegetarian food — might be there’s no companions that even relate to that. however, as a minimum simply present me the Yelp advice for that. That’s a superbly first rate option to do it. however over time, resorts give you the chance to build these relationships, tie them to your preferences, and indicate issues that you could like. You may additionally choose to do them or no longer, however when you do, the resort recommended it, so that they should still get some credit for having performed that. If it makes you truly satisfied, it builds into your preferences and you’re more more likely to go there again.

Skift: lower back to statistics. If the motels are shooting the records, and that they own that statistics, is there any sort of evolution in terms of how they could use it and entry it and leverage it more productively? Or is that already inherent in what we’ve been talking about?

Greenstein: That’s a very good question. It’s inherent in the way that that company manages, for example, their loyalty software nowadays. in case you suppose of the privacy policies and data use guidelines that exist in a given inn, they already recognize a whole lot about us. They be aware of our television viewing habits. They be aware of when we check in and when we try, and what we bought and the way tons alcohol we drank. They be aware of all these items about us. each inn most likely is built on have confidence, and they also’ve dependent their own statistics use policies.

here, what we’ve done is we’ve created a chance for greatly greater engagement, which also capacity drastically greater records. That additionally ability these policies should be checked out and reviewed cautiously. So we have some most reliable practices we do, however for our valued clientele, they comprehend the way to set up trust with their clients. We simply recommend top-quality practices and decent guidelines that they could use, but it surely’s actually up to each of them to establish have confidence with their purchasers.

I suppose for everybody on this planet of IoT, all this increased quantity of data and insights is actually a risk, and there’s absolute confidence, it’s a risk. however that’s the place you need businesses who bear in mind facts privateness, who work with GDPR and HIPAA compliance and all of those regulatory things in every country, and remember how to deliver it.

Skift: Can inns fully integrate their chat structures with IBM Watson Assistant and provides them the same name? as an example, The Cosmopolitan Las Vegas has a fab chatbot named “Rose.” am i able to now confer with Rose the use of Watson Assistant? In other words, if I’m speaking to her by way of textual content on mobile during the day, can i speak to her by the use of voice in the room at nighttime? Is that a controversy at all?

Greenstein: It’s not an argument in any respect. We’ve have two fashions. One where americans already have some type of basic chat functionality and that they wish to prolong that facts to Watson Assistant. Watson Assistant, yes, it’s conversational voice, that’s the primary interface. youngsters, it’s no longer definitely voice elegant in any respect. it works with text enter on cellular, or we can go through facebook Messenger or Slack or any type of conversational input. So, sure, we are able to take the enter from any chatbot and feed it into Watson Assistant.

We can also deliver, actually, the engine for that chatbot. people can just construct the chatbot itself appropriate in Watson Assistant and then tie in voice within the room. There’s a constructed-in integration if that's the case, so the dialog that comes out of the chatbot is sent into Watson Assistant, and then we now have that in your profile. Our inputs are quite huge.

It makes the entry into artificial intelligence and conversational interfaces so a lot less complicated. lots of people had been experimenting with chatbots and trying stuff, so we knew we needed to be in a position to aid that. All of our input, our conversation capabilities — whether or not they’re spoken or typed, or even a button in a cellular app that triggers an input — all of these are legitimate inputs. We saved a extremely open mind on that.

The above content become produced by the branded content material SkiftX group for the upcoming Skift Cities platform, defining how cities are connecting visitors and locals to co-create the future of city UX.

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image credit: IBM suppose 2018. IBM


IBM and Apple announce new partnership to create smarter cellular apps | killexams.com real questions with brain dumps

LAS VEGAS – IBM and Apple’s relationship went to yet another degree when they announced the day past that they have been going to make business apps operating on Apple contraptions greater intelligent by combining IBM Watson machine getting to know with Apple Core ML.

Ginni Rometty, IBM chairman, president and CEO, snuck within the announcement all over her chairman’s tackle on the Mandalay pursuits center in Las Vegas.

“You gotta hold making AI more straightforward to make use of,” she noted. “So 16 million apple builders … can natively get correct to Watson.”

Core ML

this can allow valued clientele building a computer learning mannequin the usage of Watson to combine it with the iPhone digital camera to, as an example, establish the make and mannequin to order the suitable constituents for a computer.

both organizations have a relationship that dates back a number of years. In 2016, IBM launched its first app that ran on the Watson fitness Cloud for ResearchKit known as SleepHealth, which turned into also made purchasable to researchers who built their own apps that work through Apple’s ResearchKit. Sleep fitness monitors sleep habits of its users and collects statistics that the American Sleep Apnea affiliation may use to discover options to common sleep problems, according to the app’s abstract on iTunes. The app depends on the Apple Watch sensors for sleep tracking.

IBM and Apple also constructed more than one hundred commercial enterprise apps after IBM released new equipment for builders coding server-side Swift in 2015.

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overseas enterprise Machines : combine Solicitation - D-- IBM utility Accelerated value program Cloud and Smarter Infrastructure guide | killexams.com real questions with brain dumps

notice category: mix Solicitation

Posted Date: 30-may-17

workplace handle: department of the Navy; Naval amenities Engineering Command; NAVFAC EXWC Port Hueneme; N39430 NAVFAC EXWC, Port Hueneme 1000 twenty third AVE Port Hueneme, CA

discipline: D-- IBM application Accelerated cost software Cloud and Smarter Infrastructure assist

Classification Code: D - suggestions technology features, together with telecommunications services

Solicitation quantity: N3943017Q1954

Contact: Danielle Ortega 8059823150 Janice Laurenti - 8059822551 mailto:[email protected]

Setaside: N/AN/A

place of performance (handle): 1100 twenty third Ave Bldg 1100, Port Hueneme, CA

place of performance (zipcode): 93043

area of efficiency country: US

Description: branch of the Navy

Naval amenities Engineering Command

NAVFAC EXWC Port Hueneme

here's a combined synopsis/solicitation for business merchandise(s) prepared according to the format in Subpart 12.6, as supplemented with additional information blanketed during this observe. This announcement constitutes the most effective solicitation; rates are being requested and no other written solicitation will be issued.

Reference solicitation N39430-17-D-1954 is issued as a request for quotation (RFQ) and incorporates the provisions and clauses in impact from regulations posted to http://farsite.hill.af.mil inclusive, but not constrained to Federal Acquisition round 05-95. The solicitation will probably be awarded on a competitive basis. it is predicted that this award should be made on a company mounted cost (FFP) contract.

The North American Industrial Classification device (NAICS) code for this solicitation is 511210.

REQUIREMENT: The NAVFAC Engineering and Expeditionary warfare middle has a requirement to obtain IBM utility Accelerated price program -- Cloud and Smarter Infrastructure help for a length of 365 days.

the following CLIN merchandise applies to this procurement:

CLIN 0001" -" 1 every - IBM utility Accelerated price program- Cloud and Smarter Infrastructure assist to consist of: (i) Accelerated price chief (AVL) -- shared with four (4) additional purchasers, (ii) 5 (5) web page visit days with the aid of AVL, (iii) One (1) Emergency on-web page event, (iv) five (5) precedence name coping with support contacts, and (v) Eligible functions: Maximo

Required start Date/efficiency length is 12 months from date of award.

the supply at some distance fifty two.212-1, instructions to Offerors-industrial gadgets applies to this acquisition with the addendum that providers submitting a proposal will probably be IBM approved Resellers.

the availability at a ways 52.212-2, contrast- business items applies to this solicitation.

The executive will award a contract due to this solicitation to the dependable offeror whose present conforming to the solicitation might be most beneficial to the government, price and other elements considered. The foundation of award may be lowest expense technically proper (LPTA) offer in response to right here elements:

(i) Technical -- offer is according to the specification outlined within the SOW and the supplier shall be licensed IBM Reseller for the mandatory service.

(ii) cost -- completeness and reasonableness

This solicitation requires registration with the equipment for Award management (SAM) earlier than award, pursuant to applicable rules and instructions. Registration counsel will also be discovered at www.sam.gov.

The chosen Offeror should conform to the following industrial item phrases and conditions, that are integrated herein via reference: some distance fifty two.212-three, Offeror Representations and Certifications - commercial gadgets - the selected offeror need to submit a accomplished reproduction of the listed representations and certifications; a ways fifty two.212-4, Contract terms and conditions - commercial items; some distance 52.212-5, Contract phrases and conditions Required To implement Statutes or govt Orders-commercial objects, paragraph (a) and right here clauses in paragraph (b): 52.204-10, 52.209-6, 52.219-28, fifty two.222-3,fifty two.222-19, 52.222-21,52.222-26, 52.222-36, 52.222-50, 52.223-189, fifty two.224-three, fifty two.225-13, fifty two.232-20, fifty two.232-30, fifty two.232-33, and 52.239-1, the whole textual content of the referenced far clauses may be accessed electronically at https://www.acquisition.gov/far/.

right here Federal Acquisition law (some distance) and branch of protection Federal Acquisition complement (DFARS) provisions and clauses also apply to this solicitation:

52.203-18 Prohibition on Contracting With Entities That Require certain interior Confidentiality Agreements or Statements--representation (JAN 2017)

fifty two.203-19 Prohibition on Requiring certain inner Confidentiality Agreeements or Statements (JAN 2017)

52.204-7 gadget for Award management (OCT 2016 )

fifty two.204-9 own id Verification of Contractor Personnel (JAN 2011)

52.204-17 possession Or handle Of Offeror (JUL 2016)

52.204-20 Predecessor of Offeror (JUL 2016)

fifty two.204-13 gadget for Award administration preservation (OCT 2016)

52.204-16 industrial and government Entity Code Reporting (JUL 2016)

fifty two.204-18 industrial and govt Entity Code protection (JUL 2016)

fifty two.204-19 Incorporation with the aid of Reference of Representations and Certifications (DEC 2014)

fifty two.204-21 basic Safeguarding of covered Contractor suggestions methods (JUN 2016)

52.204-22 alternative Line merchandise inspiration (JAN 2017)

52.209-2 Prohibition On Contracting With Inverted home corporations--illustration (NOV 2015)

fifty two.209-10 Prohibition on Contracting With Inverted home organizations (NOV 2015)

52.209-eleven illustration through organizations related to Delinquent Tax liability Or A

felony Conviction beneath Any Federal legislations (FEB 2016)

52.225-25 Prohibition on Contracting with Entities conducting certain activities or Transactions concerning Iran-- illustration and Certifications (OCT 2015)

52.233-four relevant law for Breach of Contract declare (OCT 2004)

52.234-2 be aware of Earned price administration equipment - Preaward built-in Baseline assessment (NOV 2016)

52.239-1 privacy or security Safeguards (AUG 1996)

252.203-7000 requirements regarding Compensation of Former DoD officers (SEP 2011)

252.203-7003 company office of the Inspector prevalent (DEC 2012)

252.203-7005 illustration relating to Compensation of Former DoD officers (NOV 2011)

252.204-7008 Compliance With Safeguarding lined protection tips Controls (OCT 2016)

252.204-7012 Safeguarding lined protection suggestions and Cyber Incident Reporting (OCT 2016)

252.204-7015 observe of approved Disclosure of counsel for Litigation support (might also 2016)

252.222-7007 illustration related to Combating Trafficking in men and women (JAN 2015)

252.232-7003 electronic Submission of payment Requests and Receiving experiences (JUN 2012)

252.232-7006 extensive area Workflow payment instructions (can also 2013)

252.232-7010 Levies on Contract funds (DEC 2006)

252.239-7009 illustration Of Use Of Cloud Computing (SEPT 2015)

252.239-7010 Cloud Computing functions (OCT 2016)

252.243-7001 Pricing Of Contract changes (DEC 1991)

252.244-7000 Subcontracts for industrial objects (JUN 2013)

The costs are due at 2:00pm (California Time) on 12 June 2017 and may be submitted by means of email to [email protected] and [email protected]

hyperlink/URL: https://www.fbo.gov/notices/c360bf305b658859ed06856c0fbb2475

(c) 2013 Federal assistance & news Dispatch, Inc., source Federal documents




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M9560-727

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