Stop and ask: Why does Google need hardware?

Alphabet’s Google unit generates 86% of its revenue from advertisements on web searches, YouTube videos and other spots all over the digital world
Google need hardware

Google need hardware

Google need hardware- So many internet and software companies make gadgets now. Amazon, Microsoft, Google and Facebook all make some type of internet-connected computing gear. Even Uber has started to engineer its own electric scooters.

The one thing all these newcomers have in common is that their hardware businesses are irrelevant. That’s important to remember with Google’s introduction on Tuesday of the latest in its growing line of gadgets, including a new model of its Pixel smartphone, a tablet-like computer and a voice-activated video screen for the home.

A central fact gets lost in the hardware hype at Google, Amazon and other tech giants: These hardware neophytes are definitely not setting sales records. And the strategic value of wading into well-established or novel hardware areas is uneven at best.

In 2017 and the first half of this year, Google shipped about 5 million Pixel smartphones worldwide, according to the research firm IDC. Apple Inc. sells as many iPhones in about eight days as Google did in 18 months — and even Apple has a relatively small minority market share in smartphones.

Small numbers aren’t confined to Google, either. Journalists like me can’t stop talking about the “runaway success” of the Echo devices, Amazon.com Inc.’s rapidly expanding lineup of voice-activated home doodads. Amazon sold about 3.6 million of the two most popular Echo models from April to June, Strategy Analytics estimated. Fitbit, a company that journalists like me stopped talking about long ago, sold 2.7 million motion-tracking gadgets in the same period.

Yes, Amazon’s hardware sales are growing and Fitbit numbers are shrinking, but you get the point. For most software or internet tech empires, hardware is a niche hobby, and it will remain so for the foreseeable future.

That leaves the question of why tech companies that built fortunes on areas other than computing hardware are bothering at all. I wasn’t sure about Microsoft’s Surface line for a long time, but I have been convinced that the company successfully spurred new ideas in what a computer could and should be, even as Microsoft sells relatively few personal computers on its own. I’m not completely sold on the strategic merits of Amazon’s Echo gadgets, but it’s clear that the company wants a pole position if computers controlled by voice become the prevalent form of human interaction with machines.

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Article Credit: Livemint 

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Best Freelance writing jobs online from home (Earn $3000/Month)

freelance writing jobs online from home

freelance writing jobs online from home

Freelance writing jobs online from home – Everyone starts their career in some field without experience in it. This is just how we start our career in freelance writing too. No writing experience, no published work to contribute to a resume, no accomplishments to showcase in a profile, and several such dilemmas will certainly hit you hard initially. Yet the bright side is that it is not the end of the world, it is without a doubt the ‘surge of a freelance writer’. Whether you go for print media or online, you obtained ta do these! Below is exactly how you can increase as well as be successful to make your living with your freelance career without having any experience.

I will tell you a secret place website to get a higher pay for your work. This is by far the best website which has got a balance between the right number of opportunities and a decent pay for writing. Usually, we don’t get paid well on websites which have a lot of writing jobs. When we have good pay on a certain website, we don’t get a good number of jobs for writing.

Click Here to find out. 

To add more value to the article. I would like to share some tips for writers who are new to it and thinking about getting into freelancing. Don’t worry if you are not sure about your writing skills, you can make money if you follow the steps below.

1. Quit Thinking, begin writing: Simply one easy guideline that goes well with the explanation- if you do not write, you do not obtain the job – Below we are trying to fix the standard problem of not having experience, so go acquire some. This does not mean you ought to sip coffee and also await work ahead of your means. That may never occur. Just open your word processor as well as start keying anything that will make a write-up.

2. Beginning writing for yourself initially: If you want to be successful in freelance writing then you should be a prolific author. Begin writing without expecting monetary returns for your work. What I indicate below is write complimentary on your own yet not for others. Beginning your very own blog. If you do not want to invest in a custom domain the least you can do is sign up a blog for free. There is a number of free blog systems like Typepad, Blogger, WordPress, Tumblr, Posterous, etc. Do not fail to remember to add an ‘about me’ page presenting on your own as a freelance writer, as well as also a ‘hire me’ web page to ensure that a possible company who stumbles upon your blog will know you are open for services. Your blog will work as an example of your energetic writing behaviors and also abilities proving to be of some aid to your resume.

3. gotten the word out regarding your visibility in the writing world: Marketing on your own is a needed badly in any freelancing profession. You are lucky to have actually been starting your writing career in the age of social networks. If you have actually not already registered with social sites like Twitter, Facebook, LinkedIn, Stumble upon, Tumblr, etc then you need to register immediately. It might take some time to get rooted in the appearances of social media sites but you never ever can underestimate its possibility.

I could have told you many tips on it but that can be overwhelming. Join Writing-jobs.net (Click here) for best freelance writing jobs online from home

Get great opportunities and a high pay for your work. Goodluck!!

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Honeywell to transform Austrian Sappi plant into one of the world’s most modern paper mills

Honeywell technology will be used to transform one of Europe’s oldest paper mills into one of the world’s most modern under a €30 million project being implemented by Sappi Austria Produktions-GmbH & Co. KG, to upgrade its paper mill in Gratkorn, Austria.

The mill – where paper has been made for more than four centuries – makes 980,000 tons of high-quality, multicoated paper per year for publications around the world. Honeywell will implement a range of upgrades that include server virtualisation, process visualisation and cybersecurity solutions. These new systems will increase product quality while cutting production costs.

In 2015, Honeywell upgraded the site’s flagship PM11 paper machine to its Experion® PMD automation system, creating one of the most advanced coated fine paper production lines in the world.

“We selected Honeywell because of the company’s track record of success on previous projects and familiarity with the site and our business,” said Karl Weiss, automation project manager, Sappi. “This latest project will deliver quality and productivity improvements, cost savings measures and security enhancements that will future-proof operations at Gratkorn in line with Industrie 4.0.”

The new project will include integrating an Experion® Virtualized Solution platform to allow centralised, remote monitoring of the mill’s operations; four Experion PMD automation systems to control processes, machinery and drives; and four Experion MX Quality Control Systems for use with quality sensors. Additional solutions include two ProCoat CD actuator systems that will help reduce the paper web’s cross-direction variation as it is being made, and Uniformance® PHD historian and Process Studio solutions. For cybersecurity, HSSN remote access will facilitate Microsoft security patches and virus updates, and a Secure Media Exchange gateway will monitor and log the use of removable media throughout the facility to reduce risk and limit operational disruption.

“Paper has been produced at Gratkorn for 400 years, and today the site is one of the most modern and environmentally progressive in the world,” said Marko Jamsen, EMEA pulp and paper business leader for Honeywell Process Solutions. “We’re delighted to continue to work with Sappi to increase operational excellence – this time, through virtualization capabilities that will transform productivity and lower maintenance costs, and the application of our latest cybersecurity protection measures.”

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Microsoft Showcases New AI Products at Ignite 2018

Cloud-Based AI Leading the Way

The cloud and AI are two of the biggest growth areas in technology. Combining the two is big business, and Microsoft is right at the forefront as always.

As migration towards cloud-based apps continues, the role of AI in the delivery and deployment of services is likewise gathering pace. With big names like Google Cloud and Amazon Web Services breathing down its neck, Microsoft is eager to demonstrate that it is still a market leader in developing technology. It took the opportunity at its recent Ignite conference to do just that.

Artificial Intelligence is something that Microsoft has been researching for years. However, it is only in more recent times, with advances in machine learning techniques like natural language processing that the technology has really started to develop  practical applications. A perfect example is the ubiquitous chatbots, which have transformed from curios that soon become frustrating to genuinely useful customer service tools that can deliver a competitive edge. Here are some of the latest innovations that Microsoft announced.

Cortana’s getting smarter

The virtual assistant market is the first thing we think of when it comes to AI, and Cortana is locked in battle with Google Assistant, Alexa and Siri. While voice control is becoming increasingly commonplace at home, Microsoft is clearly eager to corner the business market and has added new features that will allow Cortana to automate specific tasks.

Advances in AML

Automatic Machine Learning (AML) is the kind of “deep learning” that sounds like the stuff of science fiction. This is essentially technology whereby AI is used to improve AI, and it is an area in which Google has taken the lead in recent years. Microsoft has announced that its latest AI tools will make this kind of deep learning more approachable for the mass market.

365 Ideas

There are a number of personal productivity features that use AI dotted around the apps in Office 365 and these have now been consolidated and repackaged into a single feature called Ideas. Anyone who remembers the annoying paperclip from Windows 97 might have a sinking feeling, but the world has moved on in 20 years. The reason people developed such an irrational hatred of Clippy was that he never learned. It looks like you’re writing a letter, he proclaimed, as you started writing your 10th of the day. The assistance offered by Microsoft Ideas will show just how much machine learning has developed since those early days.

Using AI where it’s needed most

Getting frustrated at the limited intellect of your virtual assistant might sound like the epitome of a first world problem, but Microsoft also announced an initiative that will tackle issues that are deadly serious. The latest AI for Good initiative will plough $40 million of investment into non-governmental organisations around the world, using AI to provide aid for refugees and displaced children. It will also support programmes aimed at improving environmental sustainability, preventing abuses of human rights and assisting in disaster response efforts across the globe.

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The Relevance Of Demand Driven MRP

MRP was invented in the fifties, computerized in the sixties and later became the dominating planning principle in the manufacturing industry. Today you find an MRP calculation being part of any ERP system available on the market.

As the years have gone by since MRP was introduced have seen a shift from an era with local manufacturing of products with long lifecycles for a local market to today’s global competing supply networks. This has created new challenges that MRP is simply not up to. The result is that many businesses operate in a reactive mode. Products are made to an uncertain forecast, which inevitably leads to a mix of shortages and overstocks. Promotions and price cuts are used to drive out excess inventories. Top line and customer loyalty is hurt by lost revenue, and bottom line suffers from shrinking margins.

DDMRP was developed in response to this as an extension to MRP designed to deal with today’s reality. It will support the transition to a proactive state where companies position stock buffers to cut lead-times and ultimately become truly demand driven.

The concepts of Demand Driven MRP (DDMRP) was defined by and first published in the third edition of “Orlicky’s Material Requirements Planning” in 2011. Today the definitive reference on the subject is “Demand Driven Materials Planning (DDMRP), Version 2” by Carol Ptak and Chad Smith.

WHY MRP DOESN’T WORK

Which are the factors that makes MRP struggle and how do we discover the symptoms?

A trend that we have seen for at least 40 years is that companies shorten product lifecycles to bring innovation to market and stay ahead of the competition. Another, more recent trend is a more diversified, personalized offering to better meet individual preferences and criteria’s. To cut costs companies manufacture in low cost areas or outsource for resource sharing and benefits of scale, which stretches lead-times and sacrifice flexibility.

Problem is that what the products gain is the supply chain’s pain. Making more attractive products at a lower unit cost have created supply chains where the forecast error is higher than ever before at a point when the ability to absorb variation is lost in the pursuit for benefits of scale and low unit cost.

DDMR-MRP

MRP planning by design assume that future demand needs to be known one cumulative lead-time ahead. Longer lead-times caused by outsourcing means that the decision to purchase components and manufacture sub-assemblies must be taken long before the finished goods is sold. This make planners addicted to forecasts. The further out into the future they must rely on forecasts, the higher the error will be. MRP nets to zero, any internal or external variation will cause a change of plans.

DD MRP

Problem is that with the network complexity and all dependencies, variation happens all the time. This is probably why people talk about the MRP being “nervous” or “sensitive”. It is not really – it is just not designed for the circumstances it is used for. The result is that all the distortion will cause the supply chain to oscillate, with frequent overstocks and shortages as a result. This is what is often referred to as the bullwhip effect.

HOW CAN DDMRP HELP?

DDMRP introduces stock buffers that will decouple demand from supply and make them independent. The result is two-fold. Downstream, on the demand side of the buffer it will provide availability for consumers (materials or customers). If the buffer can fulfill its mission, this means that the lead-time for all parts that are constrained by the buffered part now decrease. The part of the cumulative lead-time that remains is called unprotected lead-time (ULT), or for a fancier expression; decoupled planning horizon.

DD MRP-3

Upstream, on the supply side of the buffer, it will act as a wave-breaker. It does this by aggregating and absorbing demand variation. This will protect suppliers (internal resources or external suppliers) and prevent bullwhips.

In the previous section we talked about how MRP per definition depend on forecasts one cumulated lead-time into the future, how planners must rely on forecasts and that any type of distortion (a delayed component, a quality problem in manufacturing, a customer that cancel an order) is impossible to deal with on the short term.

DDMRP buffers will decouple the supply network into smaller sections. The buffers will prevent variation from amplify up and down the supply network. They will also cut lead-times, ultimately to the extent that planners can rely on the best demand signal of all, actual orders, to support their decisions.

By this I hope that you are convinced about the relevance of DDMRP. The next question is – how can we make it work? We need a framework of tools and methodology to successfully implement DDMRP. In my next blog post  we will have a closer look at the five steps that define DDMRP.

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The Winds Are Changing In Servers AI Leads To Opportunity for IBM & Power

IBM Opportunity

IBM Opportunity

IBM Opportunity- There has never been a single processor architecture for server applications because no two workloads are the same. However, for the past decade, Intel has all but dominated the server market, shutting out AMD, the only other x86 server vendor, and leaving only HPC, mainframe, database and other specialized applications for other processor architectures. With the industry facing challenges due to a growing list of security vulnerabilities from defective speculative execution implementations, changing workload requirements, slowing of Moore’s Law, and innovative new processor architectures, server OEMs and customers are all looking at making changes. Many of the new processor vendors are focusing on specific segments to target. IBM appears the best positioned to benefit from the tremendous interest in AI.

In addition to the changing technical and market dynamics, Intel has also stumbled in both manufacturing process and architecture. They have struggled to transition to the 14nm and 10nm process nodes and now appear well behind Samsung and TSMC, the major leading foundry service providers, in transitioning to the 7nm process node. In addition, Intel has purposely limited memory bandwidth in its Xeon processors to promote two-socket servers over single-socket configurations. This has created a renewed opportunity for the IBM with its Power architecture.

By leveraging these leading foundries, IBM has the flexibility to leverage the highest density and most cost-effective process technology. In addition, IBM has focused the design of the Power architecture on overall system performance and leveraging software, such as PowerAI, for improved data flows. The area that is critical in both AI training and inference is bandwidth to memory, to accelerators and to the network. IBM’s Power architecture not only supports more memory than competitive Xeon platforms, but it also delivers approximately 10x the bandwidth to accelerators with NVLink. NVIDIA is the leader in AI accelerators with its Tesla line of GPU accelerators and POWER is the only processor architecture using NVIDIA’s NVLink interface directly in the processor itself which significantly improves performance. Additionally, the NVLink is coherent, which enables the GPUs to have direct access to the system memory enabling large AI models up to 2TB in size rather than being restricted to just the GPU memory.

While Intel Xeon’s are used as the host processor in most of the installed data center neural networks, customers will see a benefit to leveraging accelerated platforms with higher performance and bandwidth.

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Article Credit: Forbes

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IBM files formal JEDI protest a day before bidding process closes

IBM files

IBM files

IBM files- IBM announced yesterday that it has filed a formal protest with the U.S. Government Accountability Office over the structure of the Pentagon’s winner-take-all $10 billion, 10-year JEDI cloud contract. The protest came just a day before the bidding process is scheduled to close. As IBM put it in a blog post, they took issues with the single vendor approach. They are certainly not alone.

Just about every vendor short of Amazon, which has remained mostly quiet, has been complaining about this strategy. IBM  certainly faces a tough fight going up against Amazon and Microsoft.

IBM doesn’t disguise the fact that it thinks the contract has been written for Amazon to win and they believe the one-vendor approach simply doesn’t make sense. “No business in the world would build a cloud the way JEDI would and then lock in to it for a decade. JEDI turns its back on the preferences of Congress and the administration, is a bad use of taxpayer dollars and was written with just one company in mind.” IBM wrote in the blog post explaining why it was protesting the deal before a decision was made or the bidding was even closed.

For the record, DOD spokesperson Heather Babb told TechCrunch last monththat the bidding is open and no vendor is favored. “The JEDI Cloud final RFP reflects the unique and critical needs of DOD, employing the best practices of competitive pricing and security. No vendors have been pre-selected,” she said.

Much like Oracle, which filed a protest of its own back in August, IBM is a traditional vendor that was late to the cloud. It began a journey to build a cloud business in 2013 when it purchased Infrastructure as a Service vendor SoftLayer and has been using its checkbook to buy software services to add on top of SoftLayer ever since. IBM has concentrated on building cloud services around AI, security, big data, blockchain and other emerging technologies.

Both IBM and Oracle have a problem with the one-vendor approach, especially one that locks in the government for a 10-year period. It’s worth pointing out that the contract actually is an initial two-year deal with two additional three year options and a final two year option. The DOD has left open the possibility this might not go the entire 10 years.

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Article Credit: TC

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IBM Cloud Private Deployed by Hundreds of Enterprises

IBM Cloud Enterprises

IBM Cloud Enterprises

IBM Cloud Enterprises- IBM Cloud Private is an open-source enterprise product that enables cloud computing in organizations. Indeed, hundreds of leading enterprises around the world now turn to IBM Cloud Private, barely 12 months after its launch. Basically, they are deploying it to help them modernize their operations. Some of the leading names that have deployed the technology are the New Zealand Police, Japan’s Aflac Insurance and China’s Fuyao Group. Others are Brazil’s Fidelity National Information Services and Turkey’s credit bureau Kredi Kayit Bϋrosu.

IBM upgrades IBM Cloud Private

To build on this momentum, IBM has announced an upgrade to incorporate some advanced features. These features are specifically designed for the on-premises private cloud platform. With this announcement, the giant computer manufacturer has incorporated artificial intelligence (AI) capabilities in the tech product. Now, users should expect AI capabilities such as support for the additional public cloud, IBM Watson Speech-to-Text, and IBM Watson Assistant. In addition, these updates provide clients with flexibility and choice. Further, for the very first time, it features IBM Watson AI which is the capability behind IBM Firewall. Moved by the mass deployment, IBM published the details of the organizations that are already getting enormous value out of IBM Cloud Private.

What the Upgrade Means for Enterprise Users

IBM is advancing the enterprise product even further. Apart from integrating AI capabilities, IBM will also add public cloud support. Actually, the company made it clear that the IBM Watson Speech-to-Text is already available on the IBM Cloud Private Version 3.1. Furthermore, it will make it the first time the capability is available in the on-premises milieu. Certainly, the new functionality allows users to transcribe and analyze audio from up to seven languages. Additionally, users can now use IBM Watson Assistant, which is readily available on IBM Cloud Private. It helps non-technical users and developers to build AI conversational solutions. What’s more? IBM Cloud Private, which is now available on IBM Public Cloud, helps users transfer their workload from one system to the cloud. In the end, it creates a hybrid cloud environment.

Official Statement

Speaking, the Director of IBM Private Cloud Offering Management, Robin Hernandez, said that the cloud has evolved in a very short time. Also, Hernandez noted that the cloud moved from being a way of cutting operation costs, to a platform for enterprise innovation and transformation. Lastly, he pointed out that the IBM Cloud Private helps clients migrate to the cloud. Hence, for this reason, they maintain the on-premises system for mission-critical apps.

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Article Credit: Crypto Block Wire

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Wall Street Is Valuing IBM The Wrong Way

Wall Street Is Valuing IBM

Wall Street Is Valuing IBM

Wall Street Is Valuing IBM- Wall Street should begin to pay more attention to IBM’s emerging business and less in its mature business.

Wall Street values IBM as a technology company in the mature hardware business, characterized by sluggish sales and price and profit erosion.

That’s why it has shunned the company’s stock, which has underperformed the overall market in recent years.

IBM vs the S&P500KOYFIN

While IBM was primarily in the mature technology business a decade ago, it isn’t these days. Thanks to several strategic initiatives, IBM’s old mature business counts for less than 50% of its overall sales. The remainder is coming from fast growing emerging technology segments.

Like cloud and Internet security.

In the 2Q, IBM’s revenue from strategic initiatives was up 15%, and accelerated to 13% at constant currency. Revenue performance in 2Q was led by security and cloud.  Security revenue was up about 80% in 2Q – driven by growth in integrated software and services business. Cloud revenue was up 20%, or 18% at constant currency, driven by Software as-a-Service (SaaS) offerings.

Most notably, IBM exiting the second quarter with a SaaS annual run rate of over $11 billion, which is up about 25%.

SaaS is a business model that stores software centrally and licenses it on a subscription basis. It has been successfully tested by several technology companies, including Adobe Systems.

Adobe “wrote the book” on SaaS says Tien Tzuo, author of Subscribed. Back in 2012, the company got rid of its software disks and upgrades by moving its Creative Suite software to the cloud, and charging customers a monthly access fee.

Saas provided Adobe with a steady revenue from its software, and low sales transaction and monitoring cost. “In three years, Adobe Creative Cloud went from almost no subscription revenue to a virtual 100 percent subscription model,” says Tzuo.

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Article Credit: Forbes

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Bad Blood book summary | John Carreyrou | 6-Minute Summary

Bad Blood book summary – Silicon Valley start-ups aren’t known for soft-pedaling their products’ virtues. This Californian Mecca of braggadocio runs on inflated claims, white lies and an ingrained culture of faking-it-till-you-make-it.

Things usually pan out one of two ways for these swaggering upstarts. Either the company makes it big and changes the world forever – think Google, Apple, and Amazon – or it falls on its sword after tasting defeat in a cutthroat market.

But sometimes things take a more bizarre turn.

Enter Elizabeth Holmes, the charismatic, turtleneck-wearing wunderkind whose promise of a medical revolution had investors lining up to fund her brainchild: Theranos.

If something sounds too good to be true, it usually is. Theranos’ Edison wasn’t an exception. A tiny, ultra-portable, cheap and quick blood-testing device capable of screening for 200 common conditions, it was hailed as a “miracle machine.”

The only problem? It didn’t work. And that’s where this extraordinary tale of lies, subterfuge, deception and trickery starts getting really weird.

In this article, you’ll learn

  • why a company selling a device that didn’t work was valued at $9 billion;
  • how Theranos used statistics to mislead regulators, investors, and customers;
  • how its policy of policing internal dissent ended in tragedy.

Like many people, Elizabeth Holmes was scared of needles.

It was this fear which gave her a great idea: a wearable patch which would test patients’ blood over the course of a day using microneedles.

Build that, she thought, and you’d not only do away with the need for needles but you’d also have a device which could provide real-time information on bloodwork to assist ongoing diagnoses.

By 2004, she was ready to start putting her idea into practice. She founded Theranos with Shaunak Roy, one of her peers at Stanford University.

But there was a snag. The pair soon realized that microneedles wouldn’t be able to draw enough blood. That’s when the original idea started to take on a new shape.

Their next idea was a credit-card-sized blood-testing machine which would draw a few drops of blood using a pinprick. That device could then be plugged into another, a slightly larger gadget which would run diagnostic tests.

The second, toaster-sized machine would perform chemical and conductivity tests to check for 240 common ailments. These ranged from vitamin D deficiency to herpes and HIV.

It was a machine that promised to revolutionize healthcare – if it could be built. Medical diagnostic tools would suddenly be at the fingertips of millions of people.

The duo started imagining a world in which everyone had a Theranos device in his or her home. Thousands of lives would be saved thanks to early diagnoses.

The machine could monitor hormone levels and forward the information to healthcare professionals on an hourly or daily basis. Doctors could then advise patients to take extra pills or call an ambulance.

Poor people would suddenly have access to cheap medical care. After all, the device would cut out the need for expensive doctors and nurses!

A blood test would become something anyone could have done while they were out shopping for…….

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