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Sun, 17 Jul 2022 19:12:00 -0500 en-US text/html https://www.datacenterdynamics.com/en/opinions/how-to-save-costs-while-moving-to-the-cloud/
Killexams : Can IBM Get Back Into HPC With Power10?

The “Cirrus” Power10 processor from IBM, which we codenamed for Big Blue because it refused to do it publicly and because we understand the value of a synonym here at The Next Platform, shipped last September in the “Denali” Power E1080 big iron NUMA machine. And today, the rest of the Power10-based Power Systems product line is being fleshed out with the launch of entry and midrange machines – many of which are suitable for supporting HPC and AI workloads as well as in-memory databases and other workloads in large enterprises.

The question is, will IBM care about traditional HPC simulation and modeling ever again with the same vigor that it has in past decades? And can Power10 help reinvigorate the HPC and AI business at IBM. We are not sure about the answer to the first question, and got the distinct impression from Ken King, the general manager of the Power Systems business, that HPC proper was not a high priority when we spoke to him back in February about this. But we continue to believe that the Power10 platform has some attributes that make it appealing for data analytics and other workloads that need to be either scaled out across small machines or scaled up across big ones.

Today, we are just going to talk about the five entry Power10 machines, which have one or two processor sockets in a standard 2U or 4U form factor, and then we will follow up with an analysis of the Power E1050, which is a four socket machine that fits into a 4U form factor. And the question we wanted to answer was simple: Can a Power10 processor hold its own against X86 server chips from Intel and AMD when it comes to basic CPU-only floating point computing.

This is an important question because there are plenty of workloads that have not been accelerated by GPUs in the HPC arena, and for these workloads, the Power10 architecture could prove to be very interesting if IBM thought outside of the box a little. This is particularly true when considering the feature called memory inception, which is in effect the ability to build a memory area network across clusters of machines and which we have discussed a little in the past.

We went deep into the architecture of the Power10 chip two years ago when it was presented at the Hot Chip conference, and we are not going to go over that ground again here. Suffice it to say that this chip can hold its own against Intel’s current “Ice Lake” Xeon SPs, launched in April 2021, and AMD’s current “Milan” Epyc 7003s, launched in March 2021. And this makes sense because the original plan was to have a Power10 chip in the field with 24 fat cores and 48 skinny ones, using dual-chip modules, using 10 nanometer processes from IBM’s former foundry partner, Globalfoundries, sometime in 2021, three years after the Power9 chip launched in 2018. Globalfoundries did not get the 10 nanometer processes working, and it botched a jump to 7 nanometers and spiked it, and that left IBM jumping to Samsung to be its first server chip partner for its foundry using its 7 nanometer processes. IBM took the opportunity of the Power10 delay to reimplement the Power ISA in a new Power10 core and then added some matrix math overlays to its vector units to make it a good AI inference engine.

IBM also created a beefier core and dropped the core count back to 16 on a die in SMT8 mode, which is an implementation of simultaneous multithreading that has up to eight processing threads per core, and also was thinking about an SMT4 design which would double the core count to 32 per chip. But we have not seen that today, and with IBM not chasing Google and other hyperscalers with Power10, we may never see it. But it was in the roadmaps way back when.

What IBM has done in the entry machines is put two Power10 chips inside of a single socket to increase the core count, but it is looking like the yields on the chips are not as high as IBM might have wanted. When IBM first started talking about the Power10 chip, it said it would have 15 or 30 cores, which was a strange number, and that is because it kept one SMT8 core or two SMT4 cores in reserve as a hedge against bad yields. In the products that IBM is rolling out today, mostly for its existing AIX Unix and IBM i (formerly OS/400) enterprise accounts, the core counts on the dies are much lower, with 4, 8, 10, or 12 of the 16 cores active. The Power10 cores have roughly 70 percent more performance than the Power9 cores in these entry machines, and that is a lot of performance for many enterprise customers – enough to get through a few years of growth on their workloads. IBM is charging a bit more for the Power10 machines compared to the Power9 machines, according to Steve Sibley, vice president of Power product management at IBM, but the bang for the buck is definitely improving across the generations. At the very low end with the Power S1014 machine that is aimed at small and midrange businesses running ERP workloads on the IBM i software stack, that improvement is in the range of 40 percent, deliver or take, and the price increase is somewhere between 20 percent and 25 percent depending on the configuration.

Pricing is not yet available on any of these entry Power10 machines, which ship on July 22. When we find out more, we will do more analysis of the price/performance.

There are six new entry Power10 machines, the feeds and speeds of which are shown below:

For the HPC crowd, the Power L1022 and the Power L1024 are probably the most interesting ones because they are designed to only run Linux and, if they are like prior L classified machines in the Power8 and Power9 families, will have lower pricing for CPU, memory, and storage, allowing them to better compete against X86 systems running Linux in cluster environments. This will be particularly important as IBM pushed Red Hat OpenShift as a container platform for not only enterprise workloads but also for HPC and data analytic workloads that are also being containerized these days.

One thing to note about these machines: IBM is using its OpenCAPI Memory Interface, which as we explained in the past is using the “Bluelink” I/O interconnect for NUMA links and accelerator attachment as a memory controller. IBM is now calling this the Open Memory Interface, and these systems have twice as many memory channels as a typical X86 server chip and therefore have a lot more aggregate bandwidth coming off the sockets. The OMI memory makes use of a Differential DIMM form factor that employs DDR4 memory running at 3.2 GHz, and it will be no big deal for IBM to swap in DDR5 memory chips into its DDIMMs when they are out and the price is not crazy. IBM is offering memory features with 32 GB, 64 GB, and 128 GB capacities today in these machines and will offer 256 GB DDIMMs on November 14, which is how you get the maximum capacities shown in the table above. The important thing for HPC customers is that IBM is delivering 409 GB/sec of memory bandwidth per socket and 2 TB of memory per socket.

By the way, the only storage in these machines is NVM-Express flash drives. No disk, no plain vanilla flash SSDs. The machines also support a mix of PCI-Express 4.0 and PCI-Express 5.0 slots, and do not yet support the CXL protocol created by Intel and backed by IBM even though it loves its own Bluelink OpenCAPI interconnect for linking memory and accelerators to the Power compute engines.

Here are the different processor SKUs offered in the Power10 entry machines:

As far as we are concerned, the 24-core Power10 DCM feature EPGK processor in the Power L1024 is the only interesting one for HPC work, aside from what a theoretical 32-core Power10 DCM might be able to do. And just for fun, we sat down and figured out the peak theoretical 64-bit floating point performance, at all-core base and all-core turbo clock speeds, for these two Power10 chips and their rivals in the Intel and AMD CPU lineups. Take a gander at this:

We have no idea what the pricing will be for a processor module in these entry Power10 machines, so we took a stab at what the 24-core variant might cost to be competitive with the X86 alternatives based solely on FP64 throughput and then reckoned the performance of what a full-on 32-core Power10 DCM might be.

The answer is that IBM can absolutely compete, flops to flops, with the best Intel and AMD have right now. And it has a very good matrix math engine as well, which these chips do not.

The problem is, Intel has “Sapphire Rapids” Xeon SPs in the works, which we think will have four 18-core chiplets for a total of 72 cores, but only 56 of them will be exposed because of yield issues that Intel has with its SuperFIN 10 nanometer (Intel 7) process. And AMD has 96-core “Genoa” Epyc 7004s in the works, too. Power11 is several years away, so if IBM wants to play in HPC, Samsung has to get the yields up on the Power10 chips so IBM can sell more cores in a box. Big Blue already has the memory capacity and memory bandwidth advantage. We will see if its L-class Power10 systems can compete on price and performance once we find out more. And we will also explore how memory clustering might make for a very interesting compute platform based on a mix of fat NUMA and memory-less skinny nodes. We have some ideas about how this might play out.

Mon, 11 Jul 2022 12:01:00 -0500 Timothy Prickett Morgan en-US text/html https://www.nextplatform.com/2022/07/12/can-ibm-get-back-into-hpc-with-power10/
Killexams : IBM Is Looking to Buy-Is EMC in Its Crosshairs?

Big Blue celebrated 100 years of success in the tech industry earlier this month. It’s a rare feat in an industry where companies are often rendered obsolete in a decade, oftentimes sooner. In fact, IBM has managed to stay relevant while literally thousands of tech companies have come and gone. So, what’s its secret recipe? One reason for its success is its aggressive attitude toward buying companies with great technology that integrate well into its portfolio.

As an ERP (enterprise resource planning) market analyst at Software Advice, I was intrigued by all the fanfare that’s been showered upon IBM this month. I also wanted to know more about its mergers and acquisitions strategy and which companies it might buy next. So, to predict the future, I rolled up my sleeves and went digging into the past. Since IBM is an acquisition machine, I limited my search to the last decade of deals.

After I culled the data, it became obvious that there are three markets that IBM likes to go shopping: professional services, middleware, and business analytics. For anyone familiar with IBM’s company profile, this isn’t really a shocker, but the sheer volume of purchases is surprising. In the past decade, IBM bought 14 companies in services, 13 companies in middleware, and made a couple of multi-billion-dollar deals in business analytics.

The Massachusetts Connection

There’s one more trend that I noticed in its purchasing history: IBM loves to buy companies in Massachusetts. Since 2003, it has picked up some 18 companies in the Massachusetts area (these 17 plus Netezza). Massachusetts is an obvious place to shop, with world-class tech universities; it’s a hotbed of technology innovation; and there are dozens of successful companies. In thinking about the Massachusetts connection, there is one company in particular that I couldn’t help but think about IBM buying: EMC.

EMC is the Holy Grail of Massachusetts technology. Its data storage and warehousing business is a multi-billion-dollar operation, and it has one of the most successful virtualization companies on the market (VMware). IBM is already involved in data storage—and is a competitor of EMC—but it has yet to make an aggressive move into the virtualization market. An IBM-EMC combination would create an utterly dominant force in the data storage industry.

IBM’s strategy in the virtualization market has been to play it safe on the sidelines and funnel money and support into things like the Linux KVM hypervisor, hoping that it could compete with VMware. It hasn’t worked. Instead VMware has become the go-to name for all things related to virtualization technology. But that’s exactly what makes buying EMC such an enticing proposition.

Would IBM Buy EMC?

So, what would IBM have to deliver up? The short answer is: a heckuva lot. IBM’s market cap hovers right at $207 billion, and EMC’s sits at a comparatively modest $55 billion. That means that IBM would have to deliver up about 20 percent of its company and then some to land EMC. It’s a massive sum of money, but IBM is one of the tech companies that can actually pull off an EMC purchase. While it’s a huge investment, there are massive revenues to realize from a deal of this magnitude. In 2010, EMC brought in $17 billion. If you throw in IBM’s scale on top of that, there’s no telling what kind of revenue they could do together after a deal.

Personally, I think IBM could make it happen. But the move may be a bit too bold for a company that prides itself on focus and on being fairly conservative. On top of that, IBM has already said that it intends to spend “only” $20 billion on mergers and acquisitions in the next five years. An EMC purchase would tear through that and then some. In some respects, however, it’s a deal that might be too good, and pricey, to make happen.

But that’s just my opinion. What’s yours? I’m currently hosting a poll on my blog at Software Advice. Come vote and make your voice heard at: IBM Mergers & Acquisitions: Who’s Next? For reference, EMC is currently in third place. I look forward to hearing from you.

Derek Singleton is an ERP Market Analyst for Software Advice. He writes about enterprise technology syllabus and trends, with special focus on the manufacturing and distribution software markets.

Trending on Xconomy

Wed, 29 Jun 2022 12:00:00 -0500 Derek Singleton en text/html https://xconomy.com/boston/2011/06/30/ibm-is-looking-to-buy-is-emc-in-its-crosshairs/
Killexams : Emulating The IBM PC On An ESP32

The IBM PC spawned the basic architecture that grew into the dominant Wintel platform we know today. Once heavy, cumbersome and power thirsty, it’s a machine that you can now emulate on a single board with a cheap commodity microcontroller. That’s thanks to work from [Fabrizio Di Vittorio], who has shared a how-to on Youtube. 

The full playlist is quite something to watch, showing off a huge number of old-school PC applications and games running on the platform. There’s QBASIC, FreeDOS, Windows 3.0, and yes, of course, Flight Simulator. The latter game was actually considered somewhat of a de facto standard for PC compatibility in the 1980s, so the fact that the ESP32 can run it with [Fabrizio’s] code suggests he’s done well.

It’s amazingly complete, with the ESP32 handling everything from audio and video to sound output and keyboard and mouse inputs. It’s a testament to the capability of modern microcontrollers that this is such a simple feat in 2021.

We’ve seen the ESP32 emulate 8-bit gaming systems before, too. If you remember [Fabrizio’s] name, it’s probably from his excellent FabGL library. Videos after the break.

Fri, 15 Jul 2022 12:00:00 -0500 Lewin Day en-US text/html https://hackaday.com/2021/07/28/emulating-the-ibm-pc-on-an-esp32/
Killexams : Blockchain Needs to Answer Four Major Questions

Speaking as part of a panel, “Blockchain: The Connectivity Cure” during the Automobility LA conference and expo, Naghmana Majed, Automotive and A&D Solutions Leader at IBM, offered some sobering commentary on the state of Blockchain.

“I see a lot of hype with Blockchain,” Majed said. “[But] we have to make some conscious decisions and ask, is this a good use case.”

Majed's comments went to the core of what Blockchain technology as a whole has been grappling with—even beyond the automotive space. With the value of Bitcoin no longer skyrocketing, Blockchain is still looking for a killer use case. And while there is plenty of excitement about applying the distributed ledger technology beyond cryptocurrency and into enterprise and commercial applications, the Automobility LA panel noted some significant challenges ahead.

What's the Business Model?

At the end of the day, companies have to make a profit, and any new technology needs to facilitate this in some way.

“What's the business model?” Majed asked. “If you can do the same thing in a more expensive way, does that make sense? Is there a clear business model in the domain of new businesses and opportunities?…We do a lot of work in supply chain. But that's cost cutting. We have to look at automotive and ask if we can provide a real business model and new revenue opportunities. Technology for the sake of technology does nothing.”

Fellow panelist Rahul Sonnad, co-founder and CEO of Tesloop (developer of an open-source software platform for connected vehicle sharing), echoed Majed's comments. “You don't need blockchain for mobility [applications]," he said. "I don't see a business model [blockchain] enables that you can't do without it.”

Does It Help with Trust?

Chris Ballinger, CEO and co-founder of the Mobility Open Blockchain Initiative (MOBI)—a consortium of automakers and tech companies collaborating to apply Blockchain to the automotive industry—told the audience that he believed the biggest offering for Blockchain was the trust provided by the additional layers of encryption and security afforded by Blockchain's decentralized structure. “Centralization works fine as long as you trust the person in the middle,” Ballinger said. “Blockchain is cheaper, but also in a way that can be trusted.”

Playing Devil's Advocate, Sonnad questioned whether additional trust is really such a significant value proposition. “Businesses have been trusting each other for thousands of years. That's not the fundamental problem with mobility.”

But Ballinger countered that the increasing number of mobile devices, as the Internet of Things (IoT) moves toward one trillion connected devices, is creating a need for new levels of automated trust and accountability. He noted that one of the original use cases for Blockchain's smart contracts, proposed as far back as a 1996 research paper, was the automatic transfer of an auto title or lease.

Ballinger pointed to the infamous Nigerian Prince email scams as an example of this need for trust. More and more connected devices (and vehicles) means more and more opportunities for malicious parties to try and infiltrate or hack these machines. There's a chance a real Nigerian Prince could be trying to offer you large sums of money, he said, but you still need to be able to recognize a fraud.

“Blockchain can bring a lot to the table in terms of all the connected devices,” Ballinger said. “In a machine-to-machine economy, it's not going to take us long to get to a trillion connected devices. How will those devices know the Nigerian Prince from a scammer?”

Where Are the Standards?

One issue the panel did agree on was the need for standards around Blockchain. “The challenge of Blockchain is that everyone in the value chain has to participate,” Rick Gruehagen, CTO of Spireon (a provider of connected vehicle and fleet tracking technologies), told the audience. “Everyone has to embrace it if it's going to work.”

Both Gruehagen and Ballinger discussed the potential of Blockchain in supply chain and fleet management for this very reason. In the fleet industry, Gruehagen said, everything revolves around a chain of custody around the shipment of goods and all of the inherent transfers that happen, making it an ideal use case for Blockchain.

“One reason supply chain is such a good application [for Blockchain] is because of how you can get everyone involved,” Ballinger added, noting that a big part of MOBI's overall mission is developing application layer standards for OEMs to share.

Tesloop's Sonnad later took things a step farther, encouraging companies to consider open source as a means of easing the path of Blockchain adoption for developers. “I think open standards and source code is the right place to start,” he said. “[Imagine] if you go forward 10 years and Blockchain is as easy to develop on as, say, .Net or Linux.” For Sonnad, creating a Blockchain that is standardized and also cheap, easy, and fast to develop on is key.

Where Do We Start?

Where, then, are the best applications for Blockchain right now? All of the panelists encouraged developers to look at simpler use cases that can lead into broader applications first. Sonnad joked that his company calls its application of Blockchain the “Mockchain” because of this. “It's the smallest use possible of the Blockchain," he said. “It's a little bit valuable, but it's very cheap and it sets the stage for broader deployment.”

“I wouldn't tell anyone to sit on the sidelines, but I would also recommend that people take a bit of a back step and start with a case that will deliver you immediate business value," IBM's Majed said. She encouraged OEMs to look at three key factors: technology, scalability, and performance. “Technology is evolving," she said. “Start small and with something that will deliver you a quick return on value and build your own expertise and capabilities and expand on it...For OEMs, finance is a good area to start with...Test it out to see how it works.”

She also discussed work that IBM has been doing in the mobility space. One project uses Blockchain to transform a connected vehicle into a sort of car wallet, in the same way Apple Pay and Android Pay transform smartphones for the same purpose. The idea, she explained, is to enable mobile payments for transactions like toll roads and to also facilitate cars being used more as a platform.

“How can we enable that kind of mobility in car sharing, where the car becomes a platform where other providers can provide a service?” she asked. Blockchain could also be used to provide secure and trusted over the air software updates to vehicles. But Majed cautioned that for all of this to happen, “the scalability and performance needs to catch up to have the low latency and speed needed for connected vehicles.”

All panelists agreed that a trust-less, decentralized economy is coming. But ultimately, the panelists said, it will be up to OEMs to decide to what degree this will take effect. It will all depend on companies' need for trust and compliance, their business network, and, of course, the value proposition. “If you want to create something out there and no one owns it or controls it, Blockchain is the best way,” Sonnad said.

Chris Wiltz is a Senior Editor at  Design News covering emerging technologies including AI, VR/AR, and robotics.

Thu, 26 May 2022 12:00:00 -0500 en text/html https://www.designnews.com/electronics-test/blockchain-needs-answer-four-major-questions
Killexams : IBM still breaking new ground at Wimbledon

IBM’s Watson is being used by the All England Lawn Tennis Club (AELTC) as it strives to attract and retain digital audiences to the 154-year-old Wimbledon tennis championship.

After more than 30 years of providing the AELTC with technology for collecting statistics, as well as the IT foundations underpinning them, IBM is constantly working to help the organisation automate digital services and engage with fans.

Today, IBM Watson artificial intelligence (AI), sitting in IBM Cloud, is personalising content to encourage fans who try out digital platforms to do so again and again.

“Our main goal is to ensure we are maintaining Wimbledon’s relevance, attracting online audiences and providing them with the opportunity to engage with the event and keep coming back,” she told Computer Weekly.

Serving fans through AI

The partnership with IBM, also a sponsor, has come a long way since the original agreement in 1990 saw IBM generate rudimentary stats for the AELTC. “IBM has helped us ensure we have the foundations to do that from a broader technology perspective, and [with IBM] we are continually challenging ourselves to innovate on what we have today and that we are adapting the way we provide for fans,” added Willis.

IBM Watson AI creates tailored highlight reels automatically

Watson is the nucleus of much of the latest innovation, with personalised services. For instance, today Watson is automatically creating highlight reels tailored for individual fans, using a combination of structured and unstructured data.

The ability of AI to automate the creation of personalised reels of match action is perhaps the most overt example of progress. In the past, the creation of highlight reels for broadcasters required humans to manually go through matches and pick out the key moments, which was very time-consuming. But today, Watson can create a reel automatically that is personalised for individual fans.

“These two-minute reels are automatically created by Watson through a combination of stats, listening to the crowd reaction and looking at the gestures of the players,” said Kevin Farrar, IBM UK sports partnership lead. “We then make it available to the Wimbledon digital team.”

“We work with the club to bring the beauty and drama of Wimbledon to life for digital fans around the world. It is essentially a massive data operation. It all starts with the data”
Kevin Farrar, IBM

A huge amount of data is generated across the 18 courts at Wimbledon, and without in-depth knowledge, it is difficult for the average digital fan to fully appreciate a game. “It’s all reaching slightly different audiences, which was our goal, rather than preaching to the converted,” said Willis.

This is where IBM data scientists, combined with tennis experts, come in. “We take the tennis stats and combine it with other data sources, such as the Hawkeye system tracking the player and ball movements throughout a rally. We then create insights which are shared to different audiences,” said Farrar.

“We work with the club to bring the beauty and drama of Wimbledon to life for digital fans around the world,” he added. “It is essentially a massive data operation. It all starts with the data. Turning it into meaningful and engaging insights that we can put out on digital global platforms.”

A huge amount of data is generated across the 18 courts at Wimbledon

Another popular digital offering is the IBM Power Index which ranks player momentum, form and performance of players in the lead-up to and during the championships. It looks at structured data such as results, but also unstructured data, including the buzz is in the media. It then applies an AI algorithm which comes up with a ranking for players.

“The Power Index was designed to help fans work out who to follow, and there has been good engagement with that,” said Willis. “Then, once fans have taken an interest in a player, we wanted to educate them on what to look out for in a match.” Another tool, Match Insights, presents fans with facts and allows them to challenge Watson and other users in making match predictions based on the detailed stats they receive.

There has been success in building audiences through digital platforms like these, according to Willis. “We have seen steady growth of digital platforms,” she said. “When I started here about 10 years ago, we were getting an audience of about 11 million unique devices. In 2016, we had a record of 21 million unique devices connect, when Andy Murray won. We are on course for a very successful tournament this year.”

“Beyond scale, it is about demographics and location. We are proud to be a global brand and our audience reflects that,” she added. “In terms of a younger audience, we are developing things using AI to help young people better understand tennis, so when they stumble upon it they are fans for life.”

Wimbledon is part of IBM’s global sports portfolio, which includes the Masters golf and the US Open tennis. It has teams that work all year around from the UK and Atlanta, US.

Thu, 07 Jul 2022 09:37:00 -0500 en text/html https://www.computerweekly.com/news/252522454/IBM-still-breaking-new-ground-at-Wimbledon
Killexams : 8 Big Data Solutions for Small Businesses
  • Big data is information too complex, large or fast for many traditional data processing methods.
  • Big data can help your company resolve key issues, bolster its cybersecurity, and plan a meaningful data and analytics strategy.
  • SAS, Qualtrics and Google Analytics are some of today’s most prominent big data solutions.
  • This article is for business owners interested in using big data to bolster their business practices.

It’s hard to escape all the talk about big data. Armed with actionable information, companies can more effectively and efficiently market to customers, design and manufacture products that meet specific needs, increase revenue, streamline operations, forecast more accurately, and even better manage inventory to hold the line on related costs.

But can your business afford to take advantage of it?

To successfully compete in today’s marketplace, small businesses need the tools larger companies use. Of course, small businesses don’t have all the resources of an enterprise-level corporation, like data scientists, analysts and researchers. However, there are many ways your small business can gather, analyze and make sense of the data you already have, as well as gain additional insights to help level the playing field. To that end, we’ve rounded up eight big data solutions for small businesses – but first, take the time to learn the basics and importance of big data.

What is big data?

Big data is information too large or complex for traditional data processing methods to analyze. To better understand this definition, consider the three V’s of big data:

  • Unstructured data received in large amounts, such as Twitter data feeds, can sometimes comprise terabytes or petabytes of storage space. (For comparison, a Word document often takes up just a few dozen kilobytes.)
  • As internet use grows, businesses receive more data at once, thus requiring more processing capacity.
  • Think of the diversity of extensions among the files in your database – MP4, DOC, HTML and more. The more extensions you see, the more varied your data.

Key takeaway: Big data is so high in volume, velocity or variety that traditional processing methods may fail to keep up.

The value of big data for business

Big data benefits businesses because it helps to:

  • Quickly uncover the causes behind issues, defects and failures.
  • Instantly create coupons at the point of sale based on a customer’s buying habits.
  • Rapidly recalculate an entire risk portfolio.
  • Identify fraudulent or malicious cyberactivity before its worst consequences can occur.
  • Inform your full data and analytics strategy.

Below, we’ll explain how today’s big data solutions can help you achieve these goals.

Key takeaway: Big data is useful for business purposes such as resolving issues, enhancing cybersecurity, and determining your data and analytics strategy from top to bottom.

8 big data solutions and how they work

These are some of today’s most prominent big data solutions:

1. SAS

Being a small business is no longer an obstacle to obtaining market and business intelligence, according to SAS, a leader in business analytics software and services since 1976. SAS transforms your data into insights that help inform decision-making and deliver a fresh perspective on your business, whether it’s a small, midsize or large organization.

Small and midsize businesses (SMBs) face many of the same challenges as large enterprises. SAS’ easy-to-use analytics, automated forecasting and data mining enable businesses without a lot of resources to accomplish more with less. These analytics help companies overcome challenges to grow and compete. SAS’ message to SMBs is simple: “Identify what’s working. Fix what isn’t. And discover new opportunities.” Contact SAS for more details and pricing and to learn about its free software trials.

2. Alteryx

Analyzing complex business intelligence doesn’t have to be rocket science. Alteryx offers advanced data mining and analytics tools that also present information in a simple, understandable way.

Alteryx combines your business’s internal data with publicly available information to help you make better business decisions. These insights allow you to create graphs, storylines and interactive visuals from the dashboard. It also offers collaboration features that enable team discussion.

In addition to business data, Alteryx can provide department-specific data, including marketing, sales, operations and customer analytics. The platform also covers a wide variety of industries, such as retail, food and beverage, media and entertainment, financial services, manufacturing, consumer packaged goods, healthcare, and pharmaceuticals. Contact the company for pricing information.

3. Kissmetrics

Looking to increase your marketing ROI? Kissmetrics enables you to understand, segment and engage your customers based on their behavior.

With Kissmetrics, you can create, manage, and automate the delivery of single-shot emails and ongoing email campaigns based on customer behavior. The platform measures campaign impact beyond opens and clicks. The company has also launched Kissmetrics for E-Commerce, which is designed to increase your Facebook and Instagram ROI, reduce cart abandonment rates, and drive more repeat purchases.

As a Kissmetrics user, you can access web-based training and educational resources to Improve your marketing campaigns, including marketing webinars, how-to guides, articles and infographics. As part of your onboarding, you get a dedicated customer success representative for the first 60 days and strategic guidance to help you get the most out of the platform. Plans start at $300 per month.

4. InsightSquared

With InsightSquared, you don’t have to waste time mining your own data and arduously analyzing it with one spreadsheet after another. Instead, InsightSquared connects to popular business solutions you probably already use – such as Salesforce, QuickBooks, Google Analytics and Zendesk – to automatically gather data and extract actionable information.

For instance, using data from CRM software, InsightSquared can provide a wealth of sales intelligence, such as sales and pipeline forecasting, lead generation and tracking, profitability analysis, and activity monitoring. It can also help you discover trends, strengths and weaknesses, and sales team wins and losses.

InsightSquared’s suite of products also includes marketing, financial, staff and support analytics tools, as well as custom reporting to let you slice and report data from any source in any way you choose. InsightSquared offers a free trial, and its service plans are modular and scalable. Contact InsightSquared for pricing.

Editor’s note: Looking for CRM software for your business? If you’re looking for information to help you choose the one that’s right for you, use the questionnaire below to receive information from vendors for free:

5. Google Analytics

You don’t need fancy, expensive software to begin gathering data. It can start with an asset you already have – your website. Google Analytics, Google’s free digital analytics platform, gives small businesses the tools to analyze website data from all touchpoints in one place. 

With Google Analytics, you can extract long-term data to reveal trends and other valuable information so you can make wise, data-driven decisions. For instance, by tracking and analyzing visitor behavior – such as where traffic is coming from, how audiences engage, and how long visitors stay on your website (known as your bounce rate) – you can make better decisions to meet your website’s or online store’s goals.

You can also analyze social media traffic, enabling you to make changes to your social media marketing campaigns based on what is and isn’t working. Studying mobile visitors can help you extract information about customers browsing your site on their mobile devices so you can provide a better mobile experience. Here’s how to sign up for Google Analytics for your website.

6. IBM Cognos Analytics

While many big data solutions are built for extremely knowledgeable data scientists and analysts, IBM’s Cognos Analytics makes advanced and predictive business analytics easily accessible to small businesses. The platform doesn’t require any skills in using complex data mining and analysis systems; it automates the process for you instead. This self-service analytics solution includes a suite of data access, refinement, and warehousing services, giving you the tools to prepare and present data yourself in a simple and actionable way to guide your decisions.

Unlike the many analytics solutions that focus on one area of business, IBM Cognos Analytics unifies all your data analysis projects into a single platform. You can use it for all types of data analysis, including marketing, sales, finance, human resources and other parts of your operations. Its “natural language” technology helps you identify problems, recognize patterns, and gain meaningful insights to answer key questions, like what ultimately drives sales, which deals are likely to close, and how to make employees happy. Contact IBM for pricing information.

7. Tranzlogic

It’s no secret that credit card transactions are chock-full of invaluable data. Although access was once limited to companies with significant resources, customer intelligence company Tranzlogic makes this information available to small businesses that lack the big business budget.

Tranzlogic works with merchants and payment systems to extract and analyze proprietary data from credit card purchases. You can use this information to measure your sales performance, evaluate your customers and customer segments, Improve promotions and loyalty programs, launch more effective marketing campaigns, write better business plans, and perform other tasks that lead to smart business decisions.

Tranzlogic requires no tech smarts to get started. It’s a turnkey program, meaning no installation or programming is necessary. You simply log in to access your merchant portal. Contact Tranzlogic for pricing information.

8. Qualtrics

If you don’t currently have any rich sources for data, research may be the answer. Qualtrics lets you conduct a wide variety of studies and surveys to gain quality insights for data-driven decisions. Further than that, the company recently announced Qualtrics Experience Management (Qualtrics XM), four applications that allow you to Improve and manage the experiences your business provides to every stakeholder – customers, employees, prospects, users, partners, suppliers, citizens, students and investors.

Qualtrics XM helps you measure, prioritize and optimize the experiences you provide across the four foundational experiences of business: customer, employee, brand and product experience. Additionally, Qualtrics offers real-time insights, survey software, advertising testing, concept testing and market research programs. The company can also help you conduct employee surveys, exit interviews and reviews. Contact Qualtrics to discuss pricing.

Key takeaway: SAS, Qualtrics, Google Analytics and many other software platforms offer big data solutions to small businesses.

Max Freedman contributed to the writing and research in this article.

Tue, 28 Jun 2022 12:00:00 -0500 en text/html https://www.businessnewsdaily.com/6358-big-data-solutions.html
Killexams : 3 Tech Firms for the Next 100 Years No result found, try new keyword!On the 100th anniversary of IBM, TheStreet takes a look at three young tech companies that experts say should stick around over the next century. Skip to main content TECH ... Wed, 13 Jul 2022 12:00:00 -0500 en-us text/html https://www.thestreet.com/technology/3-tech-firms-for-the-next-100-years-11153199 Killexams : Data Protection as a Service Market Growing Demand Overview, Trends, Forecast 2028 | IBM, HPE, Symantec, Broadcom, Mcafee, Oracle, Quest Software

The worldwide Data Protection as a Service (DPaaS) market size was valued at USD 11.97 billion in 2019. It is normal to expand from 2022 to 2028. The developing adoption of cutting-edge innovations and increasing migration of data to a cloud model to gain adaptability, agility, and upgrade cost saving is one of the significant factors adding to data protection as a service market development. In this way, putting away and safeguarding critical data from data misfortune, data burglary, and operational disasters is impacting undertakings to think about data protection arrangements and services over the cloud. The radical change in the development of item-based answers for service-based contributions has upset the IT infrastructure industry. Undertakings are increasingly adopting a service model to convey business results to their clients and sellers.

Get Exclusive demo of Data Protection as a Service (DPaaS) Market Report @ https://www.infinitybusinessinsights.com/request_sample.php?id=809418

Top Key Players of Data Protection as a Service (DPaaS) Market Report are IBM, HPE, Symantec, Broadcom, Mcafee, Oracle, Quest Software, Netapp, Veeam, Acronis

The service-based model’s shift was primarily because of the emphasis on flexibility, as organizations manage many data. Among the infrastructure services, data protection as a service has been the strongest service as it helps ventures to backup arrangements at scale and gives data protection across registering, storage, and organization conditions. The data protection as a service arrangements also help safeguard and reestablish the data and information inside the database. For instance, certain endeavors that run elite performance registering or edge processing conditions frequently have high data stream rates inside their functional levels and have restricted bandwidth and small backups to reestablish the flood of information. With such restricted capabilities, a small failure in the backup cycle could cause a high loss of data and operational expenses for the undertakings to recuperate the data lost. Therefore, ventures are increasingly adopting data protection as a service answers for offer their creating, functional, and administration teams productive recuperation choices so they can habitually backup data prior to anything turns out badly.

Access full Report Description, TOC & Table of Figure of Data Protection as a Service (DPaaS) Market @ https://www.infinitybusinessinsights.com/reports/global-data-protection-as-a-service-dpaas-market-2022-by-company-regions-type-and-application-forecast-to-2028-809418

Additionally, the developing rigidity in regulations and standards, for example, the GDPR strategy and Data Protection Act, keeps on putting more obligations on undertakings to agree. Accordingly, it fabricates more strain on the undertakings to carry out regular checks and spotlight on their compliance framework to prove their accountability. With the ascent in rigid prerequisites, Data Protection as a Service deliver a more valuable way to address the endeavors’ difficulties and diminish their openness dangers to data protection.

Market Segmentation:

On the basis of service type, the data protection as a service market is categorized into Disaster Recovery as a Service (DRaaS), Backup as a Service (BaaS), and Storage as a Service (STaaS). The STaaS service kind dominated the market in 2020 with a pay share of more than 48% of the overall market. The service is more prevalent among small and medium undertakings as it offers them a financially savvy way to mitigate disaster recuperation and storage services.

The cross breed cloud arrangement fragment dominated the market in 2019, accounting for over 42% of the global income share. Besides, it is also anticipated to expand at a higher growth over the forecast period. The half and half cloud incorporates the services of both public and private mists, which allows undertakings with better adaptability and more improved organization choices.

Regional analysis:

The North America locale accounted for over 43% of the overall market share in 2020. The hike in cases of cyberattacks and the increased spending on data protection arrangements and cloud-based services are a portion of the factors liable for regional development. Besides, the presence of broad IT Infrastructure, cloud arrangement sellers, and data protection merchants in the U.S. is also assumed to fuel the development. The U.S. held the biggest share in the regional market and is supposed to proceed with its dominance all through the forecast period, attributable to the increased spending on recuperation, backup, and storage arrangements and rigidity in data protection standards.

Asia Pacific locale is supposed to expand at the most elevated growth over the forecast period. The developing adoption of managed services, security arrangements, and data facilitating services is one factor adding to regional advancement. Besides, the digitization transformation pattern is the other factor adding to regional development. Because of digital transformation, a high volume of data is put away on the processing infrastructure. To maintain and guard the critical IT system from blackouts, abrupt infrastructure failures, and natural disasters organizations are increasingly adopting disaster recuperation and backup arrangements and services.

The following are some of the reasons why you should Buy a Data Protection as a Service (DPaaS) market report:

  1. The Report looks at how the Data Protection as a Service (DPaaS) industry is likely to develop in the future.
  2. Using Porter’s five forces analysis, it investigates several perspectives on the Data Protection as a Service (DPaaS) market.
  3. This Data Protection as a Service (DPaaS) market study examines the product type that is expected to dominate the market, as well as the regions that are expected to grow the most rapidly throughout the projected period.
  4. It identifies exact advancements, Data Protection as a Service (DPaaS) market shares, and important market participants’ tactics.
  5. It examines the competitive landscape, including significant firms’ Data Protection as a Service (DPaaS) market share and accepted growth strategies over the last five years.
  6. The research includes complete company profiles for the leading Data Protection as a Service (DPaaS) market players, including product offers, important financial information, current developments, SWOT analysis, and strategies.

Do You Have Any Query or Specific Requirement? Ask to Our Industry Expert @ https://www.infinitybusinessinsights.com/enquiry_before_buying.php?id=809418

Table of Contents:

1 Data Protection as a Service (DPaaS) Market Overview
2 Company Profiles
3 Data Protection as a Service (DPaaS) Market Competition, by Players
4 Data Protection as a Service (DPaaS) Market Size Segment by Type
5 Data Protection as a Service (DPaaS) Market Size Segment by Application
6 North America by Country, by Type, and by Application
7 Europe by Country, by Type, and by Application
8 Asia-Pacific by Region, by Type, and by Application
9 South America by Country, by Type, and by Application
10 Middle East & Africa by Country, by Type, and by Application
11 Research Findings and Conclusion
12 Appendix…

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Killexams : Data Capture Service Market is booming Globally with Top key players – Plustek, Alteryx, Altair, Fair Isaac, UiPath, Sesame Software, Microsoft, IBM

This report studies the Data Capture Service market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competitors and the specific growth opportunities with key market drivers. Find the complete Data Capture Service market analysis segmented by companies, region, type and applications in the report.

The capture of data capture service means extraction, data extraction services provide software to extract data, the increase in the adoption of big data analysis software by multiple organizations, the need for dedicated storage systems, and the numerous benefits provided by data extraction solutions have driven the global Growth of the data extraction market.

New vendors in the market are facing tough competition from established international vendors as they struggle with technological innovations, reliability and quality issues. The report will answer questions about the current market developments and the scope of competition, opportunity cost and more.

The major players covered in Data Capture Service Markets: Plustek, Alteryx, Altair, Fair Isaac, UiPath, Sesame Software, Microsoft, IBM, Oracle, Matillion, SAP SE, SAS Institute, Teradata, and more…

The final report will add the analysis of the Impact of Covid-19 in this report Data Capture Service industry.

Get a demo Copy @ https://www.reportsandmarkets.com/sample-request/global-data-capture-service-market-4454925?utm_source=DJ&utm_medium=42

Data Capture Service Breakdown Data by Type

Unstructured Data

Semi-structured Data

Structured Data

Data Capture Service Breakdown Data by Application



Medical Insurance







Data Capture Service Market continues to evolve and expand in terms of the number of companies, products, and applications that illustrates the growth perspectives. The report also covers the list of Product range and Applications with SWOT analysis, CAGR value, further adding the essential business analytics. Data Capture Service Market research analysis identifies the latest trends and primary factors responsible for market growth enabling the Organizations to flourish with much exposure to the markets.

Regional Analysis:                

The qualitative and quantitative data collected across various channels, which forms the basis of this report also factors in the geographical location as an influential element. This is so because the population demographics, regional marketing strategies, production or manufacturing capacity vary from region to region.

It covers all the key areas of interest and bifurcates the regions into the following units:

North America (including the USA and Canada)

South America (including the Latin America countries like Brazil, Chile, Peru, etc.)

Europe (including France, Italy, Germany, the UK, etc.)

The Middle East & Africa (including Iran, Iraq, South Africa, etc.)

Asia-Pacific (including Australia, India, China, Bangladesh, etc.)

Research Objectives:                                                        

  • To study and analyze the global Data Capture Service market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2028.
  • To understand the structure of Data Capture Service market by identifying its various sub segments.
  • Focuses on the key global Data Capture Service players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
  • To analyze the Data Capture Service with respect to individual growth trends, future prospects, and their contribution to the total market.
  • To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
  • To project the size of Data Capture Service submarkets, with respect to key regions (along with their respective key countries).
  • To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
  • To strategically profile the key players and comprehensively analyze their growth strategies.

The Data Capture Service market research report completely covers the vital statistics of the capacity, production, value, cost/profit, supply/demand import/export, further divided by company and country, and by application/type for best possible updated data representation in the figures, tables, pie chart, and graphs. These data representations provide predictive data regarding the future estimations for convincing market growth. The detailed and comprehensive knowledge about our publishers makes us out of the box in case of market analysis.

Inquire More about This Report @ https://www.reportsandmarkets.com/enquiry/global-data-capture-service-market-4454925?utm_source=DJ&utm_medium=42

Key questions answered in the report include:

  • What will the market size and the growth rate be in 2028?
  • What are the key factors driving the Global Data Capture Service Market?
  • What are the key market trends impacting the growth of the Global Data Capture Service Market?
  • What are the challenges to market growth?
  • Who are the key vendors in the Global Data Capture Service Market?
  • What are the market opportunities and threats faced by the vendors in the Global Data Capture Service Market?
  • Trending factors influencing the market shares of the Americas, APAC, Europe, and MEA.

Table of Contents                 

Chapter 1: Global Data Capture Service Market Overview

Chapter 2: Data Capture Service Market Data Analysis

Chapter 3: Data Capture Service Technical Data Analysis

Chapter 4: Data Capture Service Government Policy and News

Chapter 5: Global Data Capture Service Market Manufacturing Process and Cost Structure

Chapter 6: Data Capture Service Productions Supply Sales Demand Market Status and Forecast

Chapter 7: Data Capture Service Key Manufacturers

Chapter 8: Up and Down Stream Industry Analysis

Chapter 9: Marketing Strategy -Data Capture Service Analysis

Chapter 10: Data Capture Service Development Trend Analysis

Chapter 11: Global Data Capture Service Market New Project Investment Feasibility Analysis

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Reports and Markets is not just another company in this domain but is a part of a veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world. The database of the company is updated on a daily basis. Our database contains a variety of industry verticals that include: Food Beverage, Automotive, Chemicals and Energy, IT & Telecom, Consumer, Healthcare, and many more. Each and every report goes through the appropriate research methodology, Checked from the professionals and analysts.

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