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Suddenly everybody’s talking about wearable computing. Two Silicon Valley giants are reportedly working on wearable computing devices, which appears to validate a fringe area of research that’s been around for decades.
But is a new era of wearable computing about to dawn?
The answer is yes — and no. Here’s where wearable ware is going.
My friend Seth Weintraub, writing on his blog 9to5Google, reported this week that Google is working on “wearable computer glasses.”
Google apparently hired MIT wearable computing expert Richard DuVal to work on the project.
Apple is also rumored to have created prototypes of a wearable device, which has been described as a curved-glass wristwatch. The device enables the user to give commands via Siri, the personal assistant software built into the latest iPhone.
Rumors that Apple and Google are working on wearable computing products triggered chatter expressing the flawed assumption that the whole category of wearable computing will suddenly go mainstream.
One such project involves a display built into a contact lens that communicates wirelessly to a smart phone. In fact, an International Symposium on Wearable Computers has taken place every year since the late 1990s to discuss various technologies and issues related to wearables.
Scientists, inventors and hobbyists have been working on a spectacular range of wearable computing devices for many years.
But just because experimental concepts fall into the “wearable” category with what two Silicon Valley giants are working on doesn’t mean they’re all validated. The technologies behind these far-flung ideas are all over the map, and the acceptance of each idea depends upon the readiness and user friendliness of each technology.
In other words, that Apple comes out with a wristwatch doesn’t mean augmented-reality contact lenses are going to be showing up as an option at your optometrist’s office any time soon. The technologies are unrelated.
It’s tempting to think of the wearable-computing revolution as one in which full-power computers are made so small they can be built into anything and everything. Although that’s reasonable and coming soon enough, the first wave of mainstream wearables will be less ambitious.
For example, I predict that Apple’s first major wearable will be a Bluetooth-connected iPod nano that takes Siri commands.
The first generations of this ‘iWatch’ will almost certainly require another Apple product nearby — say, an iPhone or Mac. You’ll touch the watch to wake up Siri and get it listening, then talk to it like Dick Tracey would.
As is Apple’s fashion, I suspect the iWatch will be limited in features to only those that are pretty solid. It will download music from iCloud, store them locally on the watch and play them through earbuds or on any nearby device that supports the technology, for example.
You’ll be able to do just about everything Siri now does on the iPhone — because it will use the iPhone to execute. So with the iPhone in your pocket or purse, you’ll be able to say: “How does my day look?” Siri will reply by speaking: “You’ve got a planning meeting at 2pm.” That sort of thing.
I believe that Bluetooth will transmit the noise your voice makes to the phone, which will upload it to Siri servers for the data crunching. The response will be sent back to the phone, then relayed to the watch and played. The illusion will be, however, that you talk to the watch and the watch talks back or displays the requested information.
Around the house, the fun really begins. I believe you’ll be able to use the iWatch to control your TV, Mac, iPad, iPhone or supported peripherals.
The reason I believe this is that it’s a continuation of current trends.
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Differences Between Cloud Computing vs Grid Computing
Mainly, both Cloud Computing and Grid Computing are used to process tasks. However, grid computing is used in cloud computing but not a cloud or part of it. They both involve massive computer infrastructures and managing them. Both Cloud Computing and Grid Computing concepts have been developed for distributed computing, that is, computing an element over a large area, literally on computers separated by some or the other means.
Hadoop, Data Science, Statistics & othersHead to Head Comparison Between Cloud Computing and Grid Computing (Infographics)
Below is the top 5 Comparison Between Cloud Computing and Grid Computing:Key Differences Between Cloud Computing and Grid Computing
Though both Cloud Computing vs Grid Computing technologies is used for processing data, they have some significant differences, which are as follows:
Cloud computing delivers services like servers, storage, databases, networking, software, analytics, and the internet. Companies providing this service are cloud providers and charge you according to your usage. Grid computing, on the other hand, is distributed computing. There are different computers on the same network that share the same resources. Every resource is shared on a computer, making it a supercomputer. Authorized users need to process power, memory, and data storage; cloud computing leverages them for specific tasks.
Cloud computing has different services like IaaS, PaaS, and SaaS. These are Infrastructure, Platform, and Software. Through these services, the cloud provides servers and virtual machines (VMs), on-demand environments for development, testing, delivering, and managing software applications, and providing software applications over the Internet, on-demand, and typically on a subscription basis. It also has different deployments like public, private, and hybrid. These help in deploying resources publicly, privately, or both. Grid computing, on the other hand, has distributed computing and distributed pervasive systems. A distributed computing architecture consists of several client machines with very lightweight software agents installed with one or more dedicated distributed computing management servers. Pervasive computing uses embedded microprocessors in everyday objects, allowing them to communicate information. It helps to choose any device like kitchen appliances or any chip which could be embedded.
When cloud computing comes into the picture, only single ownership is used. Whereas a grid has many systems in a network, multiple people can have rights. Virtualization helps in providing cloud better security.
Grid computing is more economical. It splits the work and distributes it over the network on computers, increasing efficiency. Cloud computing is costlier and requires an initial setup. But it is faster and has quicker data restoration.Comparison Table
Following are the lists of points that show the Comparisons Between Cloud Computing and Grid Computing:
Basis of comparison Cloud Computing Grid Computing
Definition and Basic Difference
Cloud computing uses remote servers hosted on the internet to store and manage data.
This data can be from any computer or server. Cloud helps a user to guarantee on-demand access to data on the cloud at any time.
Cloud computing defines a new class of computing based on network technology. It has integrated and networked hardware and software.
Grid computing incorporates systems in different locations through WAN
Types After its evolution, cloud computing deployments have been segregated into:
Grid computing also has the following types:
Distributed Computing systems
Distributed Information systems
Distributed Pervasive Systems
Goals Cloud computing mainly focuses on reducing costs and increasing returns. It also has a goal of increasing scalability along with increased availability and reliability. Grid computing focuses on networks and hence has a large-scale goal. It focuses on resource sharing, pervasive, uniform, and reliable access to data, storage capacity, and computation power. It also focuses on delivering a computer as a utility.
1) Cloud can store large amounts of data along with storing it safely. Data stored in the cloud is highly secure and can be accessed whenever needed.
2) Cloud is easily accessible from any part of the world. You need to have internet connectivity
4) It is cost-efficient and has fast backup and data restoration. Also, it has automatic software updates.
1)Grid computing is useful in dealing with idle energy in computers. It is more efficient to put it into more sensible use.
2) It helps to save money when huge projects are involved. Grid computing helps in distributing and splitting up the work into multiple computers.
3)Whenever a failure occurs, it will not stop the work as other computers will pick up the work, making this system more reliable.
4) Space is saved, and access to additional resources is made possible.
User Management A centralized system can manage the entire cloud in this setup, or the management can be delegated to a third party. This setup decentralizes the management, incorporating virtual organization-based management.Recommended Articles
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As the computing world is constantly improvising. Everyday a new device comes into picture which makes previous versions unfit for current technological changes and development. Gone are the days when computers were room sized and calculations take hours.
From vacuum tubes, transistors and integrated circuits to touch screen devices, the styles for new devices have also changed. Traditional ways of writing programs don’t work for them. The software embedded needs to be efficient, more responsive and interactive.
The basic difference is revolutionized hardware devices that are faster, less heat emissions and can do multiple tasks at the same time. No switching or scheduling of jobs.Conventional Computing
Refers to the classical phenomenon of computing devices. Conventional computers are basically performing two main tasks. Storing information inside memory and applying algorithms, computation and formulas to that information to produce results based on the requirements.
Based on electric circuits that have two states. Off state represented by 0 and ON state represented by 1.
The basic building block of conventional computers is a Bit. A bit has two values, either 0 or 1. All the information can be represented using 0’s and 1’s only. For this Unicode has been developed to represent all digits, alphabets, characters, special symbols, newline, linefeed, carriage return etc.
Circuits do the calculations and are called logic gates which are formed by combining transistors. All these devices have an On and Off state only.
Mostly CMOS transistors are in use. Which are made up of metal-oxide semiconductors.
Usually all processing is done in CPU, where there is a Control Unit ( CU ) to manage all calculations and Arithmetic and Logical Unit ( ALU ) that does actual calculations.
There are problems that a conventional computer would take billions of years to solve. Which means a solution would never come? Who knows what would be the result? Will it be correct?Quantum Computing
Basically, it is based on the laws of quantum physics. Based on the possibility that there are more than two possible states. An atom is a quantum particle that can move forward and backward in time and can exist in two places at a time. Quantum computers are aimed to utilize this strange behavior to computing for faster computing power.
Based on the laws of quantum physics, where a particle can have more than two states possible.
The basic building block here is Qubit. A Quantum bit is based on the phenomenon of spinning electrons. Except 0 and 1, a Qubit has a superposition state which is 0 and 1 at same time. These qubits are isolated from their peripheral environment.
All the circuitry is revolutionized using laws of quantum physics.
A SQUID device comes into picture, which is Superconducting Quantum interference Device. A very sensitive magnetometer used to measure very subtle magnetic fields based on superconducting loops.
Now we have QPUs. The Quantum Processing Unit , that is a quantum chip made of several interconnected qubits.
These computers are best for optimization problems like parking of airplanes. Other things like billions of times faster computing speeds, handling tremendous amounts of data, uncrackable encryption standards for data security etc. is changing the computing habits.
Quantum computers would not replace personal computers as not every personal device needs such complex systems. These would be dedicatedly working for complex problems. That is hard to solve today.
Why Going Dark in Technology Marketing is Never in Fashion Erin Colleran
Senior Client Consulting Manager
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In a past life, I worked in ad sales for a fashion magazine in New York City. With 12 issues, we sold all year round – however the spike that was seen every year in September was huge. September was the end all be all month where a client would need to be in-market or risk losing mindshare to competitors. The September issue was the beginning of a new season of style and fashion. Designers and retailers used September to debut new collections, readers anticipated its arrival on their doorstep and the issue itself is always the biggest one of the year. September is the start of the fashion selling season, with the change in weather bringing back to school, luxurious fashion week and the start of the ever important Q4 holiday push. If you were a fashion retailer, this is the one month you could not afford to miss. Other months? Maybe.IT business is never seasonal – Projects are happening all year round that you cannot afford to miss out on
My colleague Garrett Mann wrote about why your marketing shouldn’t take a summer vacation, but the truth of the matter is, your marketing should never take a vacation in this industry. In IT, a large number of projects are starting every month at companies around the globe and research is happening all year round. We don’t have a September issue, there isn’t a month when vendors need to be in market or they risk it all.
I’d love to tell you that I am a world renowned expert on this subject, but the truth of the matter is, all you have to do is look at the data.Data never lies
Looking at TechTarget’s IT Deal Alert Qualified Sales Opportunities for full year 2014, where we qualify projects based on activity on our network, we see incredible consistency with very little variation in the uncovering of projects month to month. Even in the so-called “down” months of summer and the holidays:Always On Strategy, Always en vogue
As a result of this, the best strategy to ensure influence over a project is an Always On Strategy. Being always on ensures you’re live for the entirety of a customers buy cycle, so you need to be always on not just for net-new projects, but for projects you influenced in the beginning of the buy cycle. And you don’t want to miss out on the crucial late stages when vendor short lists are being made.Don’t let your competitors influence projects your brand should be impacting
I often hear clients say “We have budget for Q2, but will most likely be dark in Q3.” This statement always make me cringe because going dark for a quarter really just means we are going to let our competitors influence projects for a little while and we aren’t going to do anything.
Taking those annual marketing dollars and budgeting them across the year will allow you to stay in the game, and allow your brand to impact the decisions being made all year round. We don’t have seasonality here, this isn’t fashion, this is IT and people are buying all year round. You need to be always on and always in front of buyers if you don’t want to miss out on those opportunities.
IT Deal Alert, IT projects, project identification, technology marketing strategies
During a recent earnings call with shareholders, the CEO of Microsoft, Satya Nadella, stated that artificial intelligence would eventually be included in all of the company’s applications.
After discussing Microsoft’s financial performance for the last quarter, Nadella answered questions about AI and its expected integration into more products.
Given Microsoft’s commitment to expanding its partnership with OpenAI, it makes sense that shareholders would have questions about when Microsoft plans to use the technology it’s investing in.
Although Nadella wasn’t willing to give a specific date, he stated that AI would be integrated into all of Microsoft’s applications in the future.
In this article, we’ll take a closer look at Nadella’s statements regarding AI and briefly summarize the relevant highlights from Microsoft’s earnings report.Nadella Says Every Microsoft App Will Be An AI App
Tyler Radke, the Lead Analyst at Citi, asked Nadella about the extent to which AI will be employed throughout Microsoft Azure, which is the cloud computing platform that runs its applications.
This was Nadella’s response:
Nadella is saying it’s too early to separate AI into its own category because it’s becoming a core part of all products.
He believes AI will be integrated into all apps over time and will also be integrated with storage and other forms of computing beyond just GPU inferencing.
In response to a question from Keith Weiss of Morgan Stanley, Nadella expressed a similar sentiment, saying investors should expect AI to be included in everything.
“I think the way for our investors to see this is we fundamentally believe that the next big platform wave, as I said, is going to be AI. And we strongly also believe a lot of the enterprise value gets created by just being able to catch these waves, and then have those waves impact every part of our tech stack, and also create new solutions and new opportunities…
And so, we fully expect us to sort of incorporate AI in every layer of the stack, whether it’s in productivity, whether it’s in our consumer services.”Other Highlights From Microsoft’s Earnings Call
Microsoft announced that in the last quarter of 2023, it made $52.7 billion in revenue, which is 2% more than the year before.
However, the company’s profit is down due to decreases in operating income, net income, and earnings per share.
One of the most notable highlights is the increase in LinkedIn revenue by 10%. This indicates the professional networking platform is performing well and that businesses can feel confident investing their time in it.
Another highlight from the report is the increase in revenue for server products and cloud services by 20%. This growth was driven by the revenue of Azure and other cloud services, which increased by 31%.
This indicates that Microsoft’s cloud services are becoming increasingly popular in the market, which bodes well for the future of the company’s partnership with OpenAI.
Despite a slight decrease in profit, the company’s overall financial performance remains strong.
Featured Image: ThomasAFink/Shutterstock
Beyond its devastating health impacts, the COVID-19 pandemic’s social effects — including social distancing and stay-at-home orders — have thrown a wrench into millions of people’s daily lives.
It has also accelerated consumers’ transition to shopping online rather than in person. Consumers forced to stay at home or limit their in-store purchases to essential items rapidly increased their adoption of e-commerce, ordering a plethora of goods online for home delivery. It’s a trend that isn’t likely to reverse once the pandemic subsides and we emerge into whatever the “new normal” will be.How warehouse operations weather COVID-19
Retailers and their warehousing and fulfillment operations are caught in the crosshairs of this dramatic shift, as are the technologies, labor and work site procedures for stocking goods, managing inventories and fulfilling orders.
“Prior to e-commerce, warehouses for the most part dealt with products in bulk, building pallets and moving cases of goods to retail locations,” explains Ed Kennedy, founder and chief executive of Procensis, which for nearly six years has provided innovative enterprise mobility solutions combining the latest devices and collaboration tools for distribution centers. “The rise in e-commerce has changed that. Workers today are picking far more ‘eaches,’ or much smaller, individual orders, often one or two items to a box.”The definitive guide to warehouse efficiency
Get your free guide to increasing warehouse efficiencies and cutting costs with mobile processes. Download Now
The explosion in online ordering during the pandemic has accelerated that trend, says Kennedy. “It’s dramatically changed the layout of warehouse workflows, how pickers perform their tasks, and the devices and technologies which support them. Then you have to account for the virus, which has brought new challenges and responsibilities to keep workers safe.”Maintaining high-velocity, high-turn e-commerce
Procensis has stepped up to the challenge, partnering with Samsung, ProGlove and Ivanti Wavelink to deliver a new bundled solution for warehouse picking operations and management. The solution combines technologies and devices uniquely suited for today’s high-velocity e-commerce environment — and supports the heightened health and safety needs of essential warehouse workers.
The bundle includes two hardware components: the durable Samsung Galaxy XCover Pro smartphone, and the ProGlove MARK Display wearable scanner.
The units are integrated together through Ivanti Velocity software, which also provides the connecting interface through the wireless network to the warehouse management system (WMS).
Kennedy says the solution can be implemented remotely, putting the devices in workers’ hands — ready to use — in as little as five days.
The necessary volumes and fulfillment velocity of e-commerce orders demand devices that are wearable and durable and workflows that allow totally hands-free operations.
“Everyone wants hands-free wearable technology in the warehouse,” explains Kennedy. “It enables higher pick productivity and safety. The worker has both hands free for tasks such as climbing a ladder or operating a forklift.”
The ProGlove scanner, combined with the ProGlove Connect Proximity app running on the Samsung smartphone, can also help operations adhere to their new safety protocols, Kennedy adds. If an employee gets within approximately 6-ft. of another worker, they receive an alert reminding them to follow social distancing guidelines.How it works
The Galaxy XCover Pro is mounted onto a cart or forklift. The ProGlove scanner, which also has a small display, is mounted on back of the worker’s hand through an ergonomic wrap with a thumb-operated trigger. The ProGlove device continually communicates with the Samsung smartphone via Bluetooth, receiving pick instructions displayed on the screen, transmitting pick completion when the trigger is engaged and then directing the worker to the next pick bin and item. The scanner unit is detachable and can be sanitized at the end of each shift.
The Ivanti Velocity software, powered by Wavelink, serves as the solution’s convergence point, as well as supporting overarching operations, providing a unified HTML user interface, worker feedback integration and device-side business process extensions, all without requiring WMS modification.
“The ProGlove displays on its screen the specific task at that moment,” says Kennedy. “The worker’s eyes are kept forward, both hands are free. It’s not too much different than wearing a watch.”
It’s a far superior tool, faster and safer than the old “brick on a stick” RF scanner and keyboard — which, Kennedy notes, requires the user to repeatedly pick up and put down the hand-held scanner and enter information on a small keypad.Staying ahead of the wave
E-commerce volumes are only going to increase. As operators are dealing with COVID-19 health protection needs and a shortage of warehouse workers, keeping the workers they do have productive, efficient and safe is paramount. Today’s solutions demand fast installation, intuitive training, quick ramp-up and seamless operations. Collaborative bundles that combine proven, durable devices, enabling technology and process intelligence — like that provided by Procensis, Ivanti Wavelink, Samsung and ProGlove — will keep warehouses and their employees ahead of the e-commerce wave.
Find out more about the Procensis integrated warehouse solution, and learn how to build a more efficient warehouse with this free guide.
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