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M9550-752 exam Dumps Source : IBM Smarter Process Sales Mastery v1

Test Code : M9550-752
Test name : IBM Smarter Process Sales Mastery v1
Vendor name : IBM
: 73 actual Questions

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IBM IBM Smarter Process Sales

IBM faucets Samsung for Chip Manufacturing | killexams.com actual Questions and Pass4sure dumps

IBM (NYSE: IBM) turned into one of the vital few corporations silent setting up the manufacturing tactics to construct slicing-area chips. Then, returned in 2015, IBM completed the sale of its chip manufacturing belongings to face-alone chip brand GLOBALFOUNDRIES. 

lamentably for IBM's chip efforts -- the commerce nonetheless develops punch processors for servers and Z-series chips for its mainframes -- GLOBALFOUNDRIES ceased pile of slicing-facet chip manufacturing technology. This left IBM in need of a unique accomplice to fabricate its chip designs.

inner an IBM desktop room.

extra

image source: IBM.

a minuscule while again, Nikkei Asian evaluate pronounced that this unique partner can be Taiwan Semiconductor Manufacturing company (NYSE: TSM). while GLOBALFOUNDRIES didn't bring its own seven-nanometer manufacturing know-how, marketed as 7LP, into mass production, TSMC's personal seven-nanometer know-how is now in mass construction. (if you are analyzing this on some of the newest iPhones or iPads, you might live the consume of a device powered by a TSMC seven-nanometer chip.)

extraordinarily sufficient, that report become incorrect, and it appears IBM is partnering with TSMC's only actual competitor in main-facet semiconductor logic know-how: Samsung (NASDAQOTH: SSNLF). 

what's the deal?

On Dec. 20, IBM mentioned that it "introduced an agreement with Samsung to manufacture 7-nanometer (nm) microprocessors for IBM energy programs, IBM Z and LinuxONE, high-performance computing (HPC) methods, and cloud choices."

furthermore, the clicking unlock claimed that "[today's] announcement furthermore expands and extends the 15-year strategic manner technology R&D partnership between both businesses, which, as a portion of IBM's analysis Alliance, comprises many commerce firsts such because the first NanoSheet machine innovation for sub 5nm, the construction of the industry's first 7nm verify chip and the first excessive-k steel Gate foundry manufacturing."

What does this imply for IBM and Samsung?

From IBM's standpoint, the commerce now has a achievable chip manufacturing associate to uphold the chips that power its programs. eventual quarter, IBM's systems commerce -- which the commerce says "contains systems hardware and operating techniques utility -- generated $1.7 billion in earnings, transforming into 1% year-over-12 months. That represented just 9% of the company's profits within the quarter. 

in spite of this, that segment is significant enough that IBM goes to need to proceed to sheperd it, and having a trustworthy manufacturing partner to build the microprocessors at the heart of these methods is vital to maintaining that enterprise alive.

as far as Samsung is worried, this is incremental company for its shrink chip manufacturing arm. besides the fact that children, here is via no capability a online game changer for Samsung. IBM's complete systems enterprise was $1.7 billion closing quarter and just over $5.four billion prerogative through the first three quarters of 2018. If they anticipate that rush expense for the whole lot of 2018, it interprets into about $7.2 billion in typical apparatus income.

Samsung is going to live producing profits only for the manufacture of the main processors in these methods. no longer only finish those programs include many other add-ons (chassis, power resources, DRAM, storage, motherboards, and the like), however IBM is, naturally, marking up the raw substances expenses of these systems to generate income. 

Story continues

This deal definitely is rarely going to add a thousand million dollars or greater to Samsung's coffers and is not eventually going to live a online game changer for Samsung and even Samsung's semiconductor enterprise (which is essentially dominated with the aid of earnings of DRAM and NAND reminiscences), nonetheless it should silent pressure incremental income and extreme income. 

extra From The Motley idiot

Ashraf Eassa has no dwelling in any of the stocks outlined. The Motley idiot has no dwelling in any of the shares outlined. The Motley fool has a disclosure policy.


IBM expands partnership with Samsung to include 7nm chip manufacturing | killexams.com actual Questions and Pass4sure dumps

IBM says that it has entered into an agreement with Samsung to fabricate 7-nanometer (nm) microprocessors for IBM power techniques, IBM Z and LinuxONE, excessive-efficiency computing (HPC) methods, and cloud offerings.

The settlement combines Samsung's semiconductor manufacturing with IBM's high-performance CPU designs. This combination is being designed to pressure systems efficiency, including acceleration, reminiscence and i/O bandwidth, encryption and compression velocity, as well as device scaling.

"At IBM, their first precedence is their customers," says John Acocella, vp of enterprise techniques and know-how construction for IBM programs, in an announcement. "IBM selected Samsung to construct their subsequent technology of microprocessors because they share their even of dedication to the performance, reliability, safety, and innovation to live able to dwelling their consumers for persisted success on the next technology of IBM hardware."

This announcement furthermore expands and extends the 15-12 months process technology R&D partnership between both businesses which, as portion of IBM's analysis Alliance.

"we are excited to expand their decade-lengthy strategic relationship with IBM with their 7nm EUV system expertise," says Ryan Lee, vice president of Foundry advertising at Samsung Electronics. "This collaboration is a vital milestone for Samsung's foundry commerce because it signifies self credence in Samsung's cutting-area excessive efficiency EUV fashion technology."


IBM and Salesforce partner to serve corporations build smarter decisions | killexams.com actual Questions and Pass4sure dumps

Boardroom handshake

youngsters simulated intelligence has been around for some time, or not it's frequently been beyond the compass of most agencies.

a unique collaboration between industry giants IBM and Salesforce aims to rescue AI-enabled technologies into the fingers of tens of millions of users to serve them make more suitable counseled choices.

With the partnership, IBM Watson, the main AI platform for enterprise, and Salesforce Einstein, AI that powers the world's no 1 CRM device, will seamlessly connect to permit a brand unique even of quick-witted customer rendezvous throughout sales, service, advertising, commerce and greater.

New insights from Watson might live brought without delay into the Salesforce quick-witted client Success Platform, combining deep client insights from Salesforce Einstein with Watson's structured and unstructured statistics throughout many sources and industries together with weather, healthcare, pecuniary functions and retail. collectively, Watson and Einstein will ingest, process and derive strategies from facts to accelerate altenative making and constrain greater client success.

"within a number of years, each most distinguished conclusion -- own or enterprise -- might live made with the assist of AI and cognitive applied sciences," says Ginni Rometty, chairman, president and chief executive officer of IBM. "This 12 months they are expecting Watson will contact one billion individuals -- via every thing from oncology and retail to tax education and vehicles. Now, with latest announcement, the punch of Watson will serve the hundreds of thousands of Salesforce and Einstein purchasers and builders to deliver an unprecedented understanding of shoppers."

preliminary fruits of the partnership consist of a brand unique Lightning element on the Salesforce AppExchange offered with the aid of The weather business, an IBM company, to energy weather insights that can inform client interactions and company performance. furthermore valued clientele could live capable of capable of compile on-premise commerce and cloud information with really honorable integration products for Salesforce, making that information purchasable directly within the Salesforce clever client Success Platform. IBM's Bluewolf consulting carrier is forming a unique apply to aid clients rapidly deploy the mixed IBM Watson and Salesforce Einstein capabilities.

"The aggregate of Einstein and Watson will build companies smarter and their consumers extra a hit," says Marc Benioff, chairman and CEO, Salesforce. "i'm extremely joyful to benign an alliance with IBM -- no company's core values are as near Salesforce's as IBM's. it live the best of each worlds."

As portion of the partnership, IBM will deploy Salesforce provider Cloud throughout its own commerce to radically change its world product serve services and profit a single, unified view of every IBM consumer.

The IBM Watson and Salesforce Einstein integration is expected to live released in the second half of 2017. Pricing could live announced when it becomes often purchasable.

graphic credit score: Zurijeta/Shutterstock




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M9550-752 exam Dumps Source : IBM Smarter Process Sales Mastery v1

Test Code : M9550-752
Test name : IBM Smarter Process Sales Mastery v1
Vendor name : IBM
: 73 actual Questions

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IBM Smarter Process Sales Mastery v1

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Pattern Recognition And The Sales Process | killexams.com actual questions and Pass4sure dumps

The human brain is an awesome instrument! One of the things it enables us to do, sometimes almost unconsciously, is to instantly recognize patterns. They encounter a situation, in nano seconds, their brains compare the situation with others they luxuriate in encountered through their life. It quickly enables us to recognize, “I’ve encountered something affection this before—-this is how I recognized it, this is what I did, this is what happened as a result.” They finish it thousands of times a day, comparing everything they luxuriate in encountered, looking for common patterns that luxuriate in produced successful outcomes, then acting based on their experience of those patterns.

Top performers select this even further. They trek pattern recognition from the unconscious to the conscious. They constantly compare the characteristics of what they are encountering to their experiences in the past. They understand the characteristics or variables that are most captious to what they are trying to achieve, they assess the actions they should select based on those characteristics. They furthermore assess what’s different about these patterns and can quickly adjust what they finish based on their past experience and the assessment of the current situation.

People who luxuriate in mastered something–say a top athlete, musician, someone who has invested the 10,000 hours experts assure is required for mastery luxuriate in thousands of patterns built up in their brains, they luxuriate in the skill to quickly assess situations they encounter, match that with the most preempt patterns from their past experience and quickly act. This capability is often called “muscle memory” or “instinct,” but is really the result of the brain’s tremendous pattern recognition, pattern processing capabilities.

Top performers in sales finish the very thing. They luxuriate in patterns built up, based on their experience. They are quickly able to evaluate a customer and just “know” the prerogative passage to deal with that customer. They encounter a sales occasion and are able to assess it against their past experience, leveraging that experience to develop and execute winning strategies. Top sales people constantly search to replicate that experience—find customer that fitting the past patterns of success, find situations and opportunities that match the most successful opportunities from the past, and leverage that experience to live successful in these current situations.

When you speak to top sales performers about this, they can precisely relate what they ogle for (the patterns) and how those patterns influence their activities. When you watch them in action, they are constantly looking for those situations that match the patterns of past success. In fact, what they are describing is their personal sales process—the things they ogle for, the things they do, the responses they expect based on what they luxuriate in experienced in the past.

The sales process–when taken from an individual even to and organizational even is really the collection of every solitary those past patterns of success. It is based on the collective experiences and collective patterns of top performers and what has made them successful. The sales process becomes a “template” or a pattern that every solitary other sales people can leverage to augment their success. In some sense, it’s a shortcut to the 10,000 hours to mastery, because you are able to leverage the collective “10,000 hours” of every solitary the top performers.

Do you recognize the patterns of your own past successes in sales? Are you able to leverage them to ameliorate your own personal effectiveness?

Are you leveraging the collective experiences and successes of everyone in the sales organization to contribute to your personal success–you can’t live doing this if your organization doesn’t luxuriate in a sales process, or you aren’t using it?

Do you constantly update your sales process, based on the unique patterns of success you see?


Smarter IoT applications incorporate machine learning | killexams.com actual questions and Pass4sure dumps

Data overload! Many IoT applications generate so much data that it isn’t humanly possible to analyze and act upon it in time.

Data scientists analyze mountains of data to identify patterns and define rules on how the IoT system should respond. Things change though, and unique factors emerge which influence what the prerogative action to select is. How finish you build positive that your IoT system evolves in a changing environment and picks the optimal response?

“Machine learning gives computers the skill to learn without being explicitly programmed so that they can create algorithms that can learn from and build predictions on data” may live the retort proposed Arthur Samuel.

Human brain as engineering processing machine sketch concept vector illustration

Sometimes you just need a minuscule help.

Defining the rule for a simple IoT application — such as turning off a motor when it’s too charged — is fairly straightforward. Identifying correlations between dozens of sensor inputs and external factors is much harder. deem a consume case where you luxuriate in to resolve when to dispatch a truck to replenish vending machines based on sensor data from the vending machines reporting sales, inventory levels, the local weather forecast, local events and promotional advertising campaigns. Guess wrong or transmit the wrong supplies and you lose sales by not having enough of the prerogative supplies for the vending machines to sell.

IoT Machine Learning Schematic

Most of the leading IoT platforms (including Azure, IBM Watson, Splunk, AWS and Google) now tender machine learning capabilities. This enables the IoT system to analyze sensor data, ogle for correlations and determine the best response to take. The system continuously checks to espy how well its predictions are working and keeps refining its own algorithm. There are two major types of machine learning:

  • Supervised Learning refers to developing an algorithm based on a set of examples. For instance, a simple consume case may live a record of sales by product per day. The algorithm develops a correlation between how much of each product is likely to live sold per day. This information helps determine when to transmit the truck to replenish that vending machine.
  • Unsupervised Learning does not provide the system with labels (such as sales/day) to analyze. Instead it presents every solitary the data to analyze, which lets the system to identify correlations which are not so obvious; for example, price discounts, local events and weather every solitary influence sales at the vending machine and need to live taken into account to determine the replenishment schedule.
  • Many firms start off by manually defining the commerce rules for their IoT system to follow. They then start adding machine learning based rules as they collect more data and information on other external influencing factors.

    Resources for Machine Learning systems:

    If you reflect applying machine learning to IoT is advanced, check out Kaytranada’s wonderful unique video to espy what machines might eventually learn to finish one day!

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    Machines beat us at their own game: What can they do? | killexams.com actual questions and Pass4sure dumps

    In this undated publicity image released by Jeopardy Productions, Inc., host Alex Trebek, left, poses with contestants Ken Jennings, center, and Brad Rutter and a computer named Watson in Yorktown Heights, N.Y. On Monday, Feb. 14, 2011, "Jeopardy!" will initiate airing two matches spread over three days between Jennings, Rutter and Watson, who was developed by IBM scientists. (AP Photo/Jeopardy Productions, Inc.) NO SALES (AP) -- Machines first out-calculated us in simple math. Then they replaced us on the assembly lines, explored places they couldn't glean to, even beat their champions at chess. Now a computer called Watson has bested their best at "Jeopardy!"

    A gigantic computer created by IBM specifically to outdo at answers-and-questions left two champs of the TV game testify in its silicon dust after a three-day tournament, a achievement that experts summon a technological breakthrough.

    Watson earned $77,147, versus $24,000 for Ken Jennings and $21,600 for Brad Rutter. Jennings took it in stride writing "I for one welcome their unique computer overlords" alongside his remedy Final Jeopardy answer.

    The next step for the IBM machine and its programmers: taking its mastery of the arcane and applying it to serve doctors plow through blizzards of medical information. Watson could furthermore serve build Internet searches far more affection a conversation than the hit-or-miss things they are now.

    Watson's victory leads to the question: What can they measly humans finish that astonishing machines cannot finish or will never do?

    The answer, affection every solitary of "Jeopardy!," comes in the figure of a question: Who - not what - dreamed up Watson? While computers can reckon and construct, they cannot resolve to create. So far, only humans can.

    "The passage to reflect about this is: Can Watson resolve to create Watson?" said Pradeep Khosla, dean of engineering at Carnegie Mellon University in Pittsburgh. "We are far from there. Their skill to create is what allows us to ascertain and create unique erudition and technology."

    Experts in the domain assure it is more than the spark of creation that separates man from his mechanical spawn. It is the pride creators can take, the empathy they can every solitary luxuriate in with the winners and losers, and that magical fuse of adrenaline, scare and skill that kicks in when their backs are against the wall and they are in survival mode.

    What humans luxuriate in that Watson, IBM's earlier chess champion deep Blue, and every solitary their electronic predecessors and software successors finish not luxuriate in and will not glean is the sort of thing that makes song, romance, smiles, sadness and every solitary that jazz. It's something the experts in computers, robotics and simulated intelligence know very well because they can't figure out how it works in people, much less duplicate it. It's that indescribable essence of humanity.

    Nevertheless, Watson, which took 25 IBM scientists four years to create, is more than just a trivia whiz, some experts say.

    Richard Doherty, a computer industry expert and research director at the Envisioneering Group in Seaford, N.Y., said he has been studying simulated intelligence for decades. He thinks IBM's advances with Watson are changing the passage people reflect about simulated intelligence and how a computer can live programmed to give conversational answers - not merely lists of sometimes not-germane entries.

    "This is the most significant breakthrough of this century," he said. "I know the phones are ringing off the hook with interest in Watson systems. The Internet may trump Watson, but for this century, it's the most significant promote in computing."

    And yet Watson's creators assure this breakthrough gives them an extra appreciation for the magnificent machines they summon people.

    "I espy human intelligence consuming machine intelligence, not the other passage around," David Ferrucci, IBM's lead researcher on Watson, said in an interview Wednesday. "Humans are a different sort of intelligence. Their intelligence is so interconnected. The brain is so incredibly interconnected with itself, so interconnected with every solitary the cells in their body, and has co-evolved with language and society and everything around it."

    "Humans are learning machines that live and experience the world and select in an immense amount of information - what they see, what they taste, what they feel, and they're taking that in from the day they're born until the day they die," he said. "And they're learning from every solitary the input every solitary the time. We've never even created something that attempts to finish that."

    The skill of a machine to learn is the essence of the domain of simulated intelligence. And there luxuriate in been imposing advances in the field, but nothing near human thinking.

    "I've been in this domain for 25 years and no matter what advances they make, it's not affection they feel we're getting to the finish line," said Carnegie Mellon University professor Eric Nyberg, who has worked on Watson with its IBM creators since 2007. "There's always more you can finish to bring computers to human intelligence. I'm not positive we'll ever really glean there."

    Bart Massey, a professor of computer science at Portland condition University, quipped: "If you want to build something that thinks affection a human, they luxuriate in a imposing passage to finish that. It only takes affection nine months and it's really fun."

    Working on computer evolution "really makes you cherish the fact that humans are such unique things and they reflect such unique ways," Massey said.

    Nyberg said it is silly to reflect that Watson will lead to an immediate or a lessening of humanity. "Watson does just one task: retort questions," he said. And it gets things wrong, such as proverb grasshoppers eat kosher, which Nyberg said is why humans won't whirl over launch codes to it or its computer cousins.

    Take Tuesday's Final Jeopardy, which Watson flubbed and its human competitors handled with ease. The category was U.S. cities, and the clue was: "Its largest airport is named for a World War II hero; its second largest, for a World War II battle."

    The remedy response was Chicago, but Watson weirdly wrote, "What is Toronto?????"

    A human would luxuriate in considered Toronto and discarded it because it is a Canadian city, not a U.S. one, but that's not the sort of comparative erudition Watson has, Nyberg said.

    "A human working with Watson can glean a better answer," said James Hendler, a professor of computer and cognitive science at Rensselaer Polytechnic Institute. "Using what humans are honorable at and what Watson is honorable at, together they can build systems that solve problems that neither of us can solve alone."

    That's why Paul Saffo, a longtime Silicon Valley forecaster, and others, espy better search engines as the ultimate profit from the "Jeopardy!"-playing machine.

    "We are headed toward a world where you are going to luxuriate in a conversation with a machine," Saffo said. "Within five to10 years, we'll ogle back and roll their eyes at the notion that search queries were a string of answers and not conversations."

    The beneficiaries, IBM's Ferrucci said, could include technical uphold centers, hospitals, hedge funds or other businesses that need to build lots of decisions that reliance on lots of data.

    For example, a medical headquarters might consume the software to better diagnose disease. Since a patient's symptoms can generate many possibilities, the odds of a Watson-type program would live its skill to scan the medical literature faster than a human could and intimate the most likely result. A human, of course, would then luxuriate in to investigate the computer's finding and build the final diagnosis.

    IBM isn't proverb how much money it spent pile Watson. But Doherty said the company told analysts at a recent meeting that the figure was around $30 million. Doherty believes the number is probably higher, in the "high dozens of millions."

    In a few years, Carnegie Mellon University robotic whiz Red Whittaker will live launching a robot to the moon as portion of Google challenge. When it lands, the robot will build every solitary sorts of key and crucial real-time decisions - affection Neil Armstrong and Buzz Aldrin did 42 years ago - but what humans can finish that machines can't will already luxuriate in been done: Create the whole darn thing.

    Explore further: 'Jeopardy!' to pit humans against IBM machine

    More information: IBM's Watson: tinyurl.com/4r8w6grJeopardy: jeopardy.com

    ©2010 The Associated Press. every solitary rights reserved. This material may not live published, broadcast, rewritten or redistributed.



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