For wearable technologies, bandwidth matters (and other things)

Ab Fab Glass

Today, UK mobile operator EE is launching what it describes as “the world’s fastest 4G network” in part of London.

The company says that the network – running LTE Advanced technology, capable of reaching 300Mbps speeds – will initially cover London’s Tech City, with companies in the area being selected to access it first.

One significant metric EE quotes in its press release is this:

EE predicts data usage will rise by 750% over next three years

That means more content creation, consuming and sharing on the go. It means more desire to do more things that will require persistent connectivity, ie, being connected all the time in real time rather than connecting and disconnecting as you travel, either deliberately or forcefully when the network connection suddenly drops.

And it will require a great deal of bandwidth – what most users see as fast and consistent speeds – especially when it comes to using wearable technologies like Google Glass (currently available only in the United States to early adopters).

Right now, wearable technology sits at the top of the peak of inflated expectations in Gartner’s 2013 Hype Cycle for Emerging Technologies, described by Gartner as ‘wearable user interfaces’ (they are geeks).

Gartner's 2013 Hype Cycle for Emerging Technologies

For it to get into the mainstream requires multiple events to converge: connectivity is one, but also availability, affordability, ease of use, fashionability, utility, and undoubtedly a host of other things that will influence people’s desires and interest.

Indeed, EE sees this quite clearly:

[…] For consumers, the future of mobile is about connecting more devices, accessing more real-time information, and sharing higher definition images and videos. The emergence of wearable technology, for example, will continue to increase consumer usage of data across multiple connected products. In consumer entertainment, ultra high definition 4K TV is the future, and LTE-A makes it possible to support that on a mobile network. BBC iPlayer streams at 5Mbps, whereas 4K TV will stream at 20Mbps, so a consistently high average speed, enabled by sufficient capacity on the network, is essential.

Think not only wearable technologies from a consumer perspective – there are huge benefits for specific businesses, EE says:

[…] The amount of capacity within the 4G network enables the extension of vital, high-data business applications, such as ERP and SAP, to become cloud-based, offering enterprises increased efficiency and flexibility. Financial institutions in particular – often reliant upon transferring large volumes of data – can benefit enormously from this flexibility. Increased bandwidth across the network also enables a new approach to outside broadcast for media companies, as a small number of 4G SIMs can replace an entire satellite truck and the rental of a satellite connection.

So many foundations are being laid that will add to the elements that need to converge – aligning the planets, as it were – to become a tipping point that enables people to do the things they want to do, whether for business or for pleasure.

In the case of wearable tech, that means how fast it can scoot out of Gartner’s peak of inflated expectations, past the trough of disillusionment and onto the slope of enlightenment; and, ultimately, out to the plateau of productivity.

That latter destination, Gartner says, is at least five years away and could be as many as ten.

The way things and behaviours in context move and converge ever quicker – just listen to Shel Israel and Robert Scoble – I’d say much nearer five years than ten.

(Photoshopped pic of Patsy and Edina via Engadget)

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Increase your computer satisfaction with Soluto’s anti-frustration service

PC boot times

One of the banes of modern computer life is booting up, the process that happens to your computer when you switch it on.

On my office desktop computer running 64-bit Windows 7 Ultimate, it takes well over five minutes from the moment I turn the machine on to the moment when realistically I can start using it.

That’s well over the average time in the UK – and significantly more than the global average – according to Soluto, an Israeli software and web service company whose business is all about improving boot times (and some other things).

The lengthy start-up typically increases over time as you add and remove programs, fiddle with things, misconfigure other things, tweak this and that, and maybe add or remove some hardware.

It’s one reason why I tend to start over with everything about once a year, savouring the first week or so after a fresh install when things take just a couple of minutes to be ready for you.

Today, though, I’m enjoying getting to the PC in less than three minutes after turning it on instead of the more than five minutes I’ve resigned myself to each time until another fresh install thanks to Soluto.

What Soluto does when you first use it is analyse your computer’s start up, looking at every program and service that runs when the computer is booting up to determine the most efficient and optimum way all of those things work together, to get your machine in a ready-to-use state in the shortest practical time.

Then each time you boot your machine, Soluto’s monitoring gets to know your computer better, making further recommendations on programs or services you can remove from boot, delay running until the bootup procedures are complete, or leave in the process.


It can all add up to significant time saving. In my case, Soluto’s getting-to-know-your-PC procedure has now got me to the state of a ready machine in less than two minutes, a further one minute improvement from its initial use yesterday, about six bootups ago as I speed up the learning process.

It’s done it, basically, by sorting out the kinds of things that are tricky for you to do unless you are very knowledgeable about your device’s inner workings and know exactly how to tune every program, app or service that runs on bootup.

I’ve not uninstalled anything – often a route you go down when you experience a slow computer – or stopped using a program. All that’s happened is the computer start-up procedure has now become much more efficient in three ways:

  1. I’ve removed many apps from the bootup process entirely (31 in fact) based largely on Soluto’s guidance and the generic metrics they show on what other users do, saving over 3 minutes;
  2. Essential apps and services – mostly related to the computer’s operating system and connected hardware devices – run as normal during boot up; and
  3. Other programs I need but not until the computer’s completed booting-up are delayed until after that point.

I first heard about Soluto in early 2011 when it launched in beta. I tried it then and was impressed even though it was indeed beta. Today, it’s evolved impressively into a tool that, in my experience, works well and is one you can have confidence in using.

Soluto’s database in the cloud grows over time as more users share their experiences. I can see how it could especially help inexperienced users in guiding them on choosing what to boot, what to tweak and what to skip.

The service does a lot more than tune-up your computer’s boot process, though. Here’s Soluto’s full list:

What can you do with Soluto?

  • Manage multiple PCs from anywhere.
  • Shorten PC boot time and get your PC started fast.
  • See which apps are crashing and hogging CPU.
  • Remotely install and configure useful apps like Skype and Dropbox.
  • Customize your default browser, homepage, and search engine.
  • Keep your PC up-to-date with silent software updates.
  • Catch hardware issues before they cause problems.
  • Defrag and clear disk space to keep things running smooth and fast.
  • Help others get more out of their PCs too.

Whether you use just one or perhaps a handful of computers – a desktop and a couple of laptops, for instance – or you administer a network embracing iPhones and iPads as well, Soluto has an option with different plans ranging from a free one (the one I’m currently using) for managing up to 3 devices to the enterprise-level of up to 200 devices.

If you want to save time every time you start up your device – desktop, laptop, tablet or smartphone – Soluto might have a solution for you.

Now I need to change my early-morning custom of making a pot of tea while the office desktop computer boots up. There’s no time any more!

Related post:

Foundations for evolving relationships between people and machines

Robot & Frank

IT Industry analysts Gartner announced its 2013 Hype Cycle for Emerging Technologies on August 19, with an assessment of the tech landscape that visualises its market analysis, concentrating on the evolving relationship between humans and machines.

In explaining that relationship focus, Gartner’s Jackie Fenn – originator of the hype cycle model – said in the press announcement that she wanted to “encourage enterprises to look beyond the narrow perspective that only sees a future in which machines and computers replace humans.”

In fact, [Fenn said,] by observing how emerging technologies are being used by early adopters, there are actually three main trends at work. These are augmenting humans with technology – for example, an employee with a wearable computing device; machines replacing humans – for example, a cognitive virtual assistant acting as an automated customer representative; and humans and machines working alongside each other – for example, a mobile robot working with a warehouse employee to move many boxes.

Gartner’s research vice president Hung LeHong added that “enterprises of the future will use a combination of these three trends to improve productivity, transform citizen and customer experience, and to seek competitive advantage.”

These three major trends are made possible by three areas that facilitate and support the relationship between human and machine. Machines are becoming better at understanding humans and the environment – for example, recognizing the emotion in a person’s voice – and humans are becoming better at understanding machines – for example, through the Internet of things. At the same time, machines and humans are getting smarter by working together.

The three trends + three areas that LeHong speaks of are these:

  1. Augmenting humans with technology
  2. Machines replacing humans
  3. Humans and machines working alongside each other
  4. Machines better understanding humans and the environment
  5. Humans better understanding machines
  6. Machines and humans becoming smarter

You can read Gartner’s thinking on each of these in the press announcement. (For the detailed findings, analyses and predictions, you’ll need to shell out $1,995.00 for the full report.)

Keeping in mind that thinking from Gartner, I was interested to see what this year’s emerging tech hype cycle looks like in terms of what technologies are highlighted and where in the cycle they appear, with an eye on seeing Gartner’s projections in terms of years to the Holy Grail of the Plateau of Productivity (see the Wikipedia entry for a description of that and each of the terms used to define each stage in the hype cycle).

2013 Hype Cycle for Emerging Technologies

There’s a great deal of interesting information in this hype cycle graph that communicators should pay attention to, whether you’re in tech or interested in the close subject matter or not. Consider Gartner’s premise – the evolving relationship between humans and machines. That is definitely an area of keen interest to us.

Here are just six things that jump out at me:

  1. There are many technologies on or approaching the Peak of Inflated Expectations that Gartner projects will take five to ten years (the solid blue circles) or more than ten years (the yellow triangles) to reach the Plateau of Productivity – assuming they make it through the Trough of Disillusionment. So much will happen in 5-10 years that intelligent analysis in 2013 could be as good as informed guessing.
  2. Sitting at the apogee of that Peak are Big Data, Consumer 3D Printing, Gamification, Wearable User Interfaces – all technologies constantly in the buzz machines of social networking sites and early adopter circles. How soon – and how fast – will they fall or plummet into the Trough of Disillusionment? Perhaps more importantly, how quickly – or at all – will they rise up onto the Slope of Enlightenment?
  3. I was surprised to see that the Internet of Things has moved little compared to where it was on the 2012 hype cycle – still rising in the Innovation Trigger towards the Peak of Inflated Expectations but not there just yet. Gartner still thinks it will be more than ten years before this emerging technology reaches the Plateau of Productivity.
  4. Last year, BYOD was right on the peak of Inflated Expectations. This year, it’s not mentioned at all.
  5. Augmented Reality is on the move down towards the Trough of Disillusionment. Will it languish there? Or will its stay be short? Gartner thinks it will be 5-10 years before this tech makes it to that Plateau of Productivity, perhaps suggesting it’s still an early adoptive and experimental tech for the most part, notwithstanding what some companies are doing with it today, eg, Audi helping drivers know more about their cars.
  6. Everything here has relevance to every organization, even in the barest form of simply being aware of that Big Picture at a society level. That means education and awareness-raising, helping people understand it – particularly in contexts as well as in relevance to them – which will lead to knowledge. And who knows where that will take people and what it will enable them to do.

Much to learn from Gartner’s analyses and predictions.

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Getting to know the Olympus LS-14 and LS-12

Olympus LS-14

As a podcaster, I’m interested in portable digital audio recorders as tools that I can use to record interviews, for example, when out and about.

So when I hear about a new portable audio-recording device on the market, I’m curious to know how it might fare as a device for use such as mine. That’s the situation in the case of the recorder you see pictured here, an Olympus LS-14 recently launched in the UK.

As a company, Olympus is pretty well known for its professional cameras. I remember owning an Olympus 35mm SLR camera many years ago when photography was a keen interest of mine.

During the past few years, though, Olympus has featured prominently in mainstream media not for its cool products but for the ousting of its whistle-blowing British CEO precipitating a fraud and false accounting scandal that wiped 75 percent off its stock market valuation in one of the biggest and most durable business scandals in the history of corporate Japan.

Notwithstanding such an assault on its corporate reputation, Olympus continues to bring products to market that excite its customers and attract positive attention (and sales).

I’d count Olympus’ wide range of audio products – from dictation systems to high-end audio recorders – firmly in that area, and the LS-14 is a great example of a product that excites.

Olympus sent me the LS-14 along with its lesser-spec sibling, the LS-12, to get to know and review them. Both devices are pitched by Olympus primarily at musicians. My focus, though, is using them and reviewing them from the perspective of a podcaster – someone who will record voice rather than music.

Here’s an example of what a voice recording sounds like in a short clip I recorded on the LS-14:

The original was recorded in uncompressed WAV format (one of the recording formats the device supports); all I’ve done prior to saving it as an MP3 is run the WAV through Levelator, then save it as an MP3 in Adobe Audition. No editing.

How will they stack up? As I mention in the clip, I plan to review these devices on  their own merits rather than in comparison to any other device I use or have used.

First, though, I’m getting to know them. Review to come soon.

Do you use either of these devices or other Olympus digital audio recorders? If you’re willing to share your thoughts, I’d love to know what you think.

See (listen) also:

WebHostingBuzz: A hosting partner worth getting to know

(l to r) WHB CEO Matt Russell and Neville Hobson at The B2B HuddleFor the past 18 months, WebHostingBuzz has hosted this blog and my other websites on a dedicated server physically located in one of its US datacentres.

A dedicated server is a server that is exclusive to one user: it’s not shared with anyone else. So I enjoy the benefits of high performance, security, stability and control from a server that has only my content on it, and no one else uses it.

It’s like having my own high-end desktop computer but in the cloud.

Compared to shared hosting – many users on the same server, each with its own partitioned space and its own set of issues to deal with – I find this an ideal solution.

If you read either of WebHostingBuzz’ blogs, the US one or the UK one, you’ll see that this US/UK company is steadily developing its overall service offering especially this side of the Atlantic.

Last month, WHB announced a new range of dedicated servers located in its new Tier 4 datacentre in the UK (near Nottingham, to be a bit more precise).

I like WHB’s confidence in its UK network:

[…] Based in the Midlands, our network is under 2ms from London and Manchester. Redundant private 10Gbps fibre links connect us to all the key London and Manchester POPs. Extensive private peering and connectivity with all major broadband providers mean our network literally flies! Don’t just take our word for it, try it out yourself.

Traceroute to:
Download test file:

To mark the availability of its new UK setup, WHB currently has some great hosting deals for dedicated servers at different configurations and pricing options.

WHB UK dedicated servers

If you’re thinking about switching hosting services, I think WHB is well worth your time considering and checking out.

And here’s possibly a clincher especially if you run WordPress sites at your current host – WHB will handle your migration. They did that for me when I moved and I can tell you I had none of the migraines that would undoubtedly have happened if I’d had to do that myself!

WebHostingBuzz is a good partner. And I’ve got to know CEO Matt Russell over the past year and a half – that’s him in the picture at the top with me at The B2B Huddle event at Oracle UK earlier this month, at which Matt led a discussion session. I’ve had only a few needs to connect with their tech support team. Very responsive, very quickly. Great experiences.

They’re all worth getting to know.

Given my relationship with WHB, you might see this as a “sponsor post.” I see it far more as my post (I wrote it, not WHB) about a great partner. You can read the foundation to this and decide how you see it.

The arrival of the dystopian workplace

1984 Big Brother

Maybe it’s because I’m currently reading 1984 by George Orwell on my Kindle – the first time I’ve read the book since the early 1980s – but this report in The Wall Street Journal that an IBM security tool can flag “disgruntled employees” struck me as a bit,  well, Orwellian.

[…] The new tool, called IBM Security Intelligence with Big Data, is designed to crunch decades worth of emails, financial transactions and website traffic, to detect patterns of security threats and fraud. Beyond its more conventional threat prevention applications, the new platform, based on Hadoop, a framework that processes data-intensive queries across clusters of computers, will allow CIOs to conduct sentiment analysis on employee emails to determine which employees are likely to leak company data, [Sandy Bird, chief technology officer of IBM’s security systems division] said. That capability will look at the difference between how an employee talks about work with a colleague and how that employee discusses work on public social media platforms, flagging workers who may be nursing grudges and are more likely to divulge company information. “By analyzing email you can say this guy is a disgruntled employee and the chance that he would be leaking data would be greater,” Mr Bird said of IBM’s new tool.

Computer software that predicts or suggests human behaviour in a workplace could have immense value in their function  of crunching data to enable the humans to make the judgements.

[…] For example, a company could analyze employee emails that express a positive sentiment to a manager at work, but detect “when he’s talking to a peer or someone outside the company, the sentiment comes out a little different,” Mr. Bird said.  Such a pattern, combined with other factors, could cause an employee to be flagged for more investigation by an IT team.

Yet if a tool such as IBM’s makes it faster, cheaper and more efficient to get to a conclusion, then I can see the time when crucial decisions about you and what you have said are made by a computer.

Inevitable dystopia? Discuss!