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000-SS1 IBM Systems Software Sales Mastery V1

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000-SS1 exam Dumps Source : IBM Systems Software Sales Mastery V1

Test Code : 000-SS1
Test name : IBM Systems Software Sales Mastery V1
Vendor name : IBM
: 32 real Questions

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IBM IBM Systems Software Sales

IBM revenue misses as server, application revenue sluggish | killexams.com real Questions and Pass4sure dumps

(Reuters) - IBM Corp said an even bigger-than-expected drop in revenue on Tuesday, hit by means of slowing application revenue and wavering require for mainframe servers, pointing to a bumpy recuperation for the know-how capabilities giant it truly is in the middle of a turnaround.

FILE photograph: a symbol of IBM is considered on the mobile World Congress in Barcelona, Spain February 28, 2018. REUTERS/Yves Herman/File photo

Chief government Officer Ginni Rometty has been refocusing international traffic Machines Corp towards sooner-turning out to live cloud and analytics capabilities to subside dependence on its balanced hardware products and reverse years of income declines.

The Armonk, modern york-primarily based enterprise’s ordinary earnings slipped 2 percent within the third quarter ended September, with just about everyone of its companies missing Wall highway’s earnings estimates.

salary at its methods unit, which includes mainframe servers and information storage systems offered to significant groups, climbed simplest 1 p.c, compared with a 25 % bounce within the extinct quarter.

sales multiply of z14 mainframe servers, delivered about a yr ago, acquire slowed as valued clientele watch for the launch of modern machines earlier than they improve.

IBM’s cognitive application company, which properties synthetic intelligence platform Watson, analytics and cybersecurity capabilities, had sales of $four.15 billion, down 6 % from a year previous.

Seasonal factors affecting require for software comparable to transaction processing structures damage revenue, IBM Chief fiscal Officer James Kavanaugh observed in an interview, adding that there acquire been signals require was improving.

“we acquire a fine pipeline in transaction processing software as they enter the fourth quarter,” he stated.

IBM, which receives over 60 p.c of its earnings from backyard the USA, mentioned a better greenback furthermore weighed on results.

The traffic observed it made $39.5 billion in revenue over the terminal twelve months from its “strategic imperatives” — excessive-increase agencies together with cloud services which are unfold throughout its divisions.

average salary slipped to $18.76 billion, missing analysts’ mediocre evaluate of $19.10 billion, in accordance with I/B/E/S information from Refinitiv.

net profits fell to $2.69 billion, from $2.seventy three billion a yr earlier. On a per-share foundation, earnings rose to $2.94 from $2.92 as a result of a lessen variety of astonishing shares.

with the exception of one-time gadgets, IBM earned $3.forty two per share, whereas analysts had anticipated $3.forty.

IBM shares had been down 4.7 percent to $138.29 in extended trading. The Dow portion has fallen about eight % this 12 months.

Reporting by way of Pushkala Aripaka in Bengaluru; modifying by Sai Sachin Ravikumar


No, IBM didn't Overpay For pink Hat | killexams.com real Questions and Pass4sure dumps

No result discovered, try modern keyword!definitely, VMware (peculiarly backup and security software) runs on RHT. And VMW earnings acquire ... to compete with IBM. From RHT's 2017 year-conclusion 10K: "With respect to their operating gadget offerings ...

Cloudy climate ahead for IBM and purple Hat? | killexams.com real Questions and Pass4sure dumps

the belt is buzzing in regards to the application business’s greatest acquisition ever. This “video game altering” IBM acquisition of pink Hat for $34 billion eclipses Microsoft’s $26.2 billion of LinkedIn, which set the previous checklist. And it’s the third largest tech acquisition in legacy in the back of Dell buying EMC for $sixty four billion in 2015 and Avago’s buyout of Broadcom for $37 billion the selfsame yr.

Wall street certainly receives nervous when it sees these lofty rate tags. IBM’s stock become down 4.2 p.c following the announcement, and there are doubtless greater issues over a broader IBM selloff round how a whole lot IBM is buying crimson Hat.

This units the stage for massive expectations on IBM to leverage this asset as a captious turning factor in its heritage. when you consider that IBM’s Watson AI poster baby has failed to create sustainable boom, might this live their best desultory to perquisite the ship once and for all? Or is this mega merger a sophisticated clash of cultures and items in order to design it complicated to recognise the complete talents?

big Blue’s been in massive difficulty

When the chips are down, it’s time to prance everyone in. large Blue actually greatly surprised the know-how world when it announced it might conclude its biggest deal ever and purchase purple Hat for an vast 11x top rate. The fact is that purple Hat turned into now not always trying to live got, so overpaying become the handiest manageable option. And if IBM didn’t pay, Google, Amazon, VMWare or even Alibaba would have.

determined times require determined measures. IBM has been struggling to demonstrate multiply in modern markets for quite some time. before 2018, it had 22 straight quarters of profits decline. And it has misplaced over $28 billion in earnings during the terminal six years. Its revenue on the conclude if 2017 become $79.14 billion, the bottom in two decades and the more severe annual quantity seeing that 1997, when IBM revenues were $78.51 billion, apart from inflation.

In early 2018, IBM was in a position to bear three consecutive quarters of revenue increase, however that turned into specially due to the introduction of a modern line of IBM Z mainframe computer systems.

IBM has been a traffic in decline for decades. It’s challenging to maintain a traffic with shrinking sales.

Too ancient to develop?

IBM is greater than 100 years ancient and definitely suffers from comparisons to more youthful and nimbler agencies such as Amazon, Google, fb, and Apple that acquire posted listing multiply in synchronous times. Amazon’s fresh earnings acquire surpassed $2 billion, as an instance.

if you contrast IBM to Microsoft, another ancient world application enterprise, it’s startling to espy the disagreement in how Microsoft has been capable of reposition itself as multiply traffic in accordance with the cloud.

In 1990, when Microsoft unlock windows three.0, IBM had revenues of $sixty nine billion (simplest $10 billion shy of what it has these days), while Microsoft had around $800 million. Microsoft surpassed IBM in earnings in 2015 and crossed the $a hundred billion annual profits ticket in 2018.

during the terminal a brace of years, as IBM’s income shrank, Microsoft invested in its “industrial cloud” traffic that encompasses Azure, workplace 365, and Dynamics 365, bringing in over $23 billion in modern revenues. Microsoft has currently been firing on everyone cylinders whereas IBM experienced multiply stalls.

slow to find to the cloud

IBM’s success within the hardware enterprise, chiefly it’s Z-series mainframes, forced it to protect its turf and distracted it from seeing the longer term impress of cloud. AWS begun offering public cloud features again in 2006. As late as 2011, IBM turned into barely bringing up the note “cloud” in its annual reviews or revenue calls. The enterprise ultimately realized in 2013 that cloud computing changed into the longer term and made a hail-Mary purchase of SoftLayer to bridge the gap, paying $2 billion after which investing an further $1 billion to integrate the platform.

It’s difficult to establish significant market share should you’re late to the celebration. Softlayer’s worldwide market share remains a distant fifth at the back of AWS, Microsoft, Google, and even more energizing newcomer Alibaba, which handed IBM’s cloud revenues in June of 2018.

IBM made a few different cloud-linked acquisitions, together with Gravitant (a cloud brokerage and management application), Bluebox (a personal cloud as a carrier platform in keeping with OpenStack), Sanovi (a hybrid cloud restoration and migration application), Lighthouse and CrossIdeas (both cloud safety systems), and CSL overseas (a cloud virtualization platform).

regardless of these acquisitions in the cloud market, IBM has did not truly monetize these products and benefit market share in the cloud.

The enterprise has did not capitalize on improvements earlier than: Watson AI became on the exact of its video game when it debuted on Jeopardy in 2011 to beat human contestants however quickly fell behind Amazon, Google, and Microsoft.

Will purple Hat live the savior?

red Hat is the area’s biggest provider of open-source enterprise software solutions. crimson Hat’s bread and butter Linux enterprise continues to deliver growth specially because it powers many synchronous AI and analytics workloads. Its mannequin has advanced from basically on-premise to a suitable subscription enterprise used on public cloud structures comparable to Amazon net services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

purple Hat has furthermore accelerated into open middleware options corresponding to OpenStack, a cloud infrastructure platform, and OpenShift, a platform for managing application containers. OpenShift has long been a neatly-kept surreptitious as Cloud aboriginal Computing groundwork (CNCF) has grabbed most of the headlines with its Kubernetes container orchestration platform. IBM has a desultory to leverage its advertising and marketing and world attain to hearten mainframe and legacy purchasers to undertake OpenShift. These platforms were particularly leveraged in inner most and hybrid cloud deployments, certainly in industries devotion telecommunications.

There isn't any doubt that purple Hat gives IBM a a whole lot greater credible cloud story. but the query truly is, is it too late?

The acquisition is actually respectable news for organizations trying to shift basic container-based mostly applications and virtual machines to the cloud. besides the fact that children, Amazon has already captured a significant portion of that market.

while the acquisition of pink Hat gives IBM a strong location in the hybrid-cloud market, which will live everyday for organizations that are not taking the time to decommission or re-architect legacy purposes, the speedy-growing to live public cloud market might live the battleground of the long run.

Will the integration find messy?

IBM has had a spotty list when it comes to integrating and capitalizing on massive acquisitions.

while the vast majority of IBM’s M&A has been in the belt of software, profits within the segment has been disappointing. most likely what is regarding is that adjusting for acquisitions, IBM’s application enterprise continues to divulge no — commonly due to the fact that these vast acquisitions acquire develop into a portion of the IBM cloth and company as typical.

Can IBM integrate something as mammoth as pink Hat devoid of interfering with its core charge proposition? Many concern that large Blue will attempt to “blue wash” their platform of option.

And there’s the query of whether these two diverse company cultures can near together – IBM, a unhurried growth company now not making plenty progress within the cloud area, and purple Hat, an ingenious, open source enterprise that is building foundational components for operating within the cloud.

We’ve viewed way of life clashes derail many different immoderate profile mergers such as HP/Compaq, HP/Autonomy, Microsoft/Nokia, AOL/Time Warner, dash/Nextel and Alcatel/Lucent. IBM will should embody the open source group and method.

The joint enterprise will visage famous platform decisions on the cloud entrance. IBM has a public cloud that competes with AWS and Microsoft. but developers spend crimson Hat’s Linux on many public clouds. whereas that multi-cloud strategy will succor IBM herald salary across the public clouds, it will create battle with its personal Softlayer cloud providing. IBM has struggled to maneuver this class of channel and product battle effectively during the past.

after which there is the future of IBM’s personal AIX operating device vs. Linux — now not to point out the SCO-IBM Unix lawsuit nonetheless lingering in the courts.

also to word are the lesser customary purple Hat storage products devotion crimson Hat Ceph (an protest file storage) and pink Hat Gluster (a NAS product). As red Hat integrates into IBM’s hybrid cloud neighborhood, these storage items should live separated from IBM, which could create confusion and battle.

So whereas IBM definitely faces loads of chance with the acquisition, there is no assure this massive wager will repay. IBM crucial a bold move. however within the short term, they are not likely to Look any surprising movement of IBM’s position within the public cloud house. everyone eyes should live on its potential to catapult into the hybrid cloud market. For that, the enterprise will should design sure it doesn’t find in its own way.

Frank Palermo is the govt vice chairman at Virtusa’s world Digital company, the location he's accountable for technology practices in UX, mobility, social, cloud, analytics, massive facts, and IoT.


000-SS1 IBM Systems Software Sales Mastery V1

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000-SS1 exam Dumps Source : IBM Systems Software Sales Mastery V1

Test Code : 000-SS1
Test name : IBM Systems Software Sales Mastery V1
Vendor name : IBM
: 32 real Questions

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20 startups heave center stage at Berkeley SkyDeck’s demo day | killexams.com real questions and Pass4sure dumps

The largest-ever Berkeley SkyDeck demo day kicked off with a high-energy performance from the Cal marching band, setting the tone for an afternoon of presentations from not one other than Berkeley faculty and students-turned-entrepreneurs.

Launched in 2012 as a modest accelerator for student-run businesses, SkyDeck has flourished since its inception. To date, the program has mentored 300 startups, which acquire gone on to raise $800 million via 27 funding rounds and 10 acquisition deals. Earlier this year, it raised a $24 million venture fund so it could finally seed participating startups with $100,000 in exchange for 5 percent equity. Today’s cohort is only the second to receive an investment from SkyDeck as portion of the accelerator.

To participate in SkyDeck’s accelerator program, startups must acquire at least one founding member attending any of the University of California campuses as an undergraduate or graduate student. Faculty members are furthermore able to apply, as are founders based outside the U.S. — as long as they bring on a Berkeley-enrolled co-founder or advisor upon arrival. Executive director Caroline Winnet said they plot to invest half that fund’s profits back into the university.

Lime, the bike- and scooter-sharing startup, is the biggest success account to emerge from SkyDeck. The company was created by Cal grads Toby Sun and Brad Bao, who were portion of a 2017 SkyDeck cohort. Kiwi Campus, a robotics startup focused on last-mile delivery, and TDK-acquired Chirp Microsystems, are furthermore SkyDeck graduates, as is the mental health startup Aura, which announced a $2.7 million financing just terminal week.

SkyDeck works with two cohorts of companies per year for six months each.

Here’s a Look at the 20 startups that demoed for investors on Berkeley’s campus today:

PredictEV: Focused on the sports and esports market, PredictEV is a blockchain-powered social network for fans to share their predictions and rate cryptocurrency.

Researchably: Targeting medical research, pharma sales and outreach teams, the startup provides a research-based medical counsel system.

Triton: A software platform that helps media companies tailor content to each individual reader or viewer. Triton is set to begin running pilots with Vanity objective and The CW.

Predictim: An AI-powered platform that accesses a person’s trust and reliability. The purpose is to liquidate risk for members of the sharing economy. Basically, it will succor you motif out if your dog-walker is a murderer.

Seamless Microsystems: Designs and manufactures semiconductor chips for consumer medical imaging, 5G networking LIDAR in autonomous driving and more.

SoftRides: Using AI and a smartphone’s image sensor to detect distracted driving conduct and alert you in real time.

Eye Level.AI: Founded by a group of former IBM Watson employees, Eye Level.AI provides an analytics-driven platform to assist chatbot owners to monetize current users and attract modern ones.

Eye Level.AI

Perfect Dashboard: An AI-powered online marketplace for connecting SaaS products to small businesses.

The SMBX: A provider of a mobile marketplace that connects small businesses with people interested in investing in them.

Chameleon Biosciences: A startup focused on revolutionizing gene therapy to treat rare diseases.

ThinkCyte: The company has invented modern imaging technology combined with machine learning, called Ghost Cytometry, to resolve and seclude cells for drug discovery, cell therapy and clinical diagnostics.

Snipfeed: With 44,000 weekly lively users, Snipfeed helps Generation Z mobile users avoid misinformation online with its AI-powered news and information recommendation engine.

DropEx: A traffic networking app and relationship management system.

Peanut Robotics: The startup’s consumer-facing robot can grip household items to assist with cleaning at hotels, offices and airports.

Empire Biotechnologies: The company is developing therapies for gastrointestinal issues, specifically short bowel syndrome. Empire’s drug is used to control the absorption of nutrients through the digestive system.

Humm: A developer of wearable cognitive performance enhancement hardware created by a group of researchers at the University of Western Australia.

CoolJamm: An automated music producer and recommendation engine that uploads directly to YouTube.

Bungee: Led by three former Amazon employees, Bungee helps e-commerce businesses mine geo-specific data to create a recommendation engine for price, promotions and inventory.

SimpleDataLabs: The creator of Prophecy, a predictive analytics platform focused on traffic analysts and executives.

Skyloom: The company wants to improve space-to-Earth communications and unlock “the legal economic potential of low Earth orbit” with its spaceborne infrastructure.


IBM: 2 famous Verticals To Watch | killexams.com real questions and Pass4sure dumps

No result found, try modern keyword!In 2012, the company made it clear it wants to focus on lofty value segments with fatter profit margins and rate 50% of sales from software evolution ... will acquire a significant positive impact on IB...

The problem with analytics | killexams.com real questions and Pass4sure dumps

IBM-Bigdata-Analytics

There is a disagreement between lore and understanding. lore typically comes down to knowing facts while understanding is the application of lore to the mastery of systems. You can know a lot while understanding very little. Just as an example, IBM’s Watson synthetic intelligence system that defeated the TV Jeopardy champs a few years ago knew everyone there was to know about Jeopardy questions but didn’t really understand anything. question Watson to apply to removing your appendix its lore of hundreds of medical questions and you’d live disappointed and probably dead. That’s the problem with most analytics, which is why it can live a difficult sell.

The concede to this problem, we’re told, is not just machine learning but deep Machine Learning, the disagreement between the two being that unostentatious extinct machine learning is a statistical process that could live (and used to be) replicated by hand, while the deeper variety looks several generations deep in a longitudinal analysis that quickly grows too mammoth for mere mortals to comprehend. deep machine learning will, theoretically, find everyone the interconnections and dependencies that until now we’ve had to reckon on domain experts to provide, yet even then it can only betide if you betide to live gathering the perquisite data.

With regular machine learning, when IBM talks about Watson looking inside your traffic and finding answers, well that can only really betide if a few PhDs are attached to the software. But with deep machine learning the concept is that the machine can conclude it all. No PhDs required, which would live quite a breakthrough. And so everyone the mammoth companies fighting over the future of IT are building modern circuits -- hardware -- for deep machine learning. Google and IBM acquire made recent announcements about theirs. Microsoft told me a brace weeks ago that they acquire similar hardware working in their lab. It’s a space race.

And it’s furthermore at least five years from being real on any commercial scale.

Until deep machine learning is common and lickety-split we’ll live stuck with more mundane analytics. So no, Watson isn’t going to live crunching your company numbers soon and spitting out the perquisite answers or even the perquisite questions to ask. We’re simply not there yet.

Which brings us to a snoopy thing happening at IBM. Not closing the I.M. Pei-designed lab in Somers, modern York that was announced terminal week. That campus has been half-empty for years. Nor am I talking about the continuation of IBM’s brutal GTS layoffs, which reportedly killed another 14,000+ IBM jobs terminal week. What I am talking about here is the reorganization of IBM’s analytics traffic unit that was announced internally two weeks ago. You won’t find a news account about it… until now.

The analytics reorg labelled "One Team, One Platform" wasn’t technically a Resource Action (forced layoff). It was explained as a streamlining of traffic processes to ameliorate efficiency. Citing similar moves at Google, IBM’s analytics group would no longer acquire employees working from home and the number of official analytics office locations worldwide would subside from 200 to 30. People will soon live working and meeting physically together, some of them for the first time. This is good, right?

Yet the reorg is wildly unpopular within the ranks for one famous reason: If for some understanding affected IBMers exigency to withhold working from home or they can’t or won’t prance to their designated IBM office location, well then they are deciding to quit in the view of IBM, which means they are out of the company with no severance -- no package.

Analytics common manager Rob Thomas, who announced the reorg, has been uniformly described to me by IBMers from that division as "an idiot", which may live some internal IBM technical term, I don’t know.

The reorg, which tellingly requires some orthodox Jewish IBMers working in Israel to reverse history and relocate to either Germany or Poland, will inevitably result in a significant reduction in head count yet not acquire to live accounted for as one. These are stealth layoffs.

Remember that the future of IBM is supposed to live everyone about CAMSS (cloud, analytics, mobile, security, social) and analytics is the A in CAMSS. In one flash IBM says analytics is strategic, that they are investing and hiring in the area, yet at the selfsame time the company is taking actions that will inevitably lead to the loss of at least some employees who are vital to the unit.

It’s the blindness of this reorg that amazes me. Heads will proceed no matter what, but in this case the specific heads won’t live decided by the company but by the workers, themselves. The best workers will live the most employable and therefore the quickest to go. If analytics is so strategic how can IBM allow that to happen?

I believe I know what’s happening here. Years of layoffs and unfilled positions at IBM add up to that pretty much everyone remaining who isn’t in management is already very obliging at their jobs. There is no more plump to cut. So why not leave it up to the employees, themselves, especially if the gambit will result in very low separation expenses?

It is unlikely that any of the IBMers who are lost in this reorg will live replaced. Rather, as has become the norm at IBM in recent years, those who are left will live expected to pick up the slack.

Yes, but what about CAMSS? What about analytics being so strategic to the future of IBM?

In order to understand that they acquire to furthermore understand who is IBM’s customer. Peter Drucker wrote that the purpose of the corporation is "to find a customer". Well who is IBM’s customer if the company is effectively cutting one of the divisions it is relying upon for future growth?

IBM’s customer is Wall Street.

IBM’s products are earnings-per-share, dividends, and share buy-backs, not hardware, software or computer services.

This morning I took a quick Look at IBM‘s 1Q16 statement. It was involving what was stated, how it was stated, and what was not stated. They signed $4.2 billion in Analytics and $2.6 billion in Cloud business. The leisure of CAMSS was puny. If Analytics is doing better than the rest, why mess with it? How many billions acquire they spent to design $11 billion a year on cloud?

IBM has mostly reported revenue. portion of the company’s sales culture, it is what you sign in deals that matters. But how much profit is each division making? That is how most companies are managed. IBM‘s mammoth money maker is services and that is losing business. IBM wants to withhold Wall Street off the scent and keeping reported earnings up is critical. So they’re cutting deep with no severance. This is everyone about buying time until the modern traffic gains traction. However if the modern traffic doesn’t design as much profit, that is going to live a mammoth problem.

This is a very scary gamble for IBM.

What this analytics reorg means is that IBM can’t espy a way to reach its near-term Wall Street product objectives without cutting heads in analytics. The division was built up in anticipation of inescapable sales and profit targets, those targets acquire not been reached, so IBM will nick expenses until the numbers Look right. Forget that this reorg will actually result in less -- not more -- work being done. Forget that it makes even less likely IBM achieving its goals for analytics. Forget everyone of that.

What it means is the A in CAMSS has already failed. That’s my understanding.



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